ArticlePDF Available

Abstract

This article provides an in-depth exploration of the multifaceted impact of technology on sales performance within B2B companies. It delves into how digital transformation and the integration of advanced technologies such as artificial intelligence, machine learning, and big data analytics have revolutionized traditional sales processes, enhancing efficiency, customer engagement, and ultimately, sales outcomes. The discussion spans several key areas, including the pivotal role of customer relationship management (CRM) systems in improving sales processes, the significance of digital marketing in reaching and engaging with potential customers, and the transformative effects of automation and chatbots in streamlining sales operations and providing superior customer service. The article also touches on the emerging trend of IoT-enabled selling and its potential to offer personalized and proactive sales experiences. Through a series of case studies, the article illustrates successful implementations of technology in B2B sales, showcasing the tangible benefits and improvements in sales performance. However, it also addresses the challenges and barriers to technology adoption, such as resistance to change and integration difficulties, while offering strategies to overcome these obstacles. The future trends section anticipates further advancements in tech-driven sales practices, highlighting the ongoing evolution of the B2B sales landscape driven by technological innovation.
© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0
sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the ori
source, provide a link to the Creative Commons licence, and indicat
are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate
the article’s Creative Comm
ons licence and your intended use is not permitted by statutory regulation orexceeds the permitted use, you will need
to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/lic
Journal of Artificial Intelligence General Science JAIGS
The Impact of Technology on Sales Performance in B2B Companies
Professor, IEDE Business School, Málaga, Spain.
*Corresponding Author:
John Deep Smith
ARTICLEINFO
Article History:
Received:
05.03.2024
Accepted:
10.03.2024
Online: 07.04.2024
Keyword: B2B Sales
Performance, Digital
Transformation, Customer
Relationship Management
(CRM), Artificial Intelligence
(AI), Digital Marketing.
This article provides an in
technology on sales performance w
digital transformation and the integration of advanced technologies such as
artificial intelligence, machine learning, and big data analytics have
revolutionized traditional sales processes, enhancing efficiency, cus
engagement, and ultimately, sales outcomes. The discussion spans several key
areas, including the pivotal role of customer relationship management (CRM)
systems in improving sales processes, the significance of digital marketing in
reaching and engag
of automation and chatbots in streamlining sales operations and providing
superior customer service. The article also touches on the emerging trend of IoT
enabled selling and its potential to off
experiences. Through a series of case studies, the article illustrates successful
implementations of technology in B2B sales, showcasing the tangible benefits
and improvements in sales performance. However, it also addre
challenges and barriers to technology adoption, such as resistance to change and
integration difficulties, while offering strategies to overcome these obstacles.
The future trends section anticipates further advancements in tech
pract
by technological innovation.
International License, which permitsuse,
sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the ori
source, provide a link to the Creative Commons licence, and indicat
e if changes were made. The images or other thirdparty material in this article
are included in the articles Creative Commons licence, unless indicated otherwise in a credit line to the mate
-
rial. If material is not included in
ons licence and your intended use is not permitted by statutory regulation orexceeds the permitted use, you will need
to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/lic
Vol.3,Issue 01, March 2024
Journal of Artificial Intelligence General Science JAIGS
Home page http://jaigs.org
The Impact of Technology on Sales Performance in B2B Companies
John Deep Smith, PhD.
Professor, IEDE Business School, Málaga, Spain.
John Deep Smith
ABSTRACT
This article provides an in
-
depth exploration of the multifaceted impact of
technology on sales performance w
ithin B2B companies. It delves into how
digital transformation and the integration of advanced technologies such as
artificial intelligence, machine learning, and big data analytics have
revolutionized traditional sales processes, enhancing efficiency, cus
engagement, and ultimately, sales outcomes. The discussion spans several key
areas, including the pivotal role of customer relationship management (CRM)
systems in improving sales processes, the significance of digital marketing in
reaching and engag
ing with potential customers, and the transformative effects
of automation and chatbots in streamlining sales operations and providing
superior customer service. The article also touches on the emerging trend of IoT
enabled selling and its potential to off
er personalized and proactive sales
experiences. Through a series of case studies, the article illustrates successful
implementations of technology in B2B sales, showcasing the tangible benefits
and improvements in sales performance. However, it also addre
challenges and barriers to technology adoption, such as resistance to change and
integration difficulties, while offering strategies to overcome these obstacles.
The future trends section anticipates further advancements in tech
pract
ices, highlighting the ongoing evolution of the B2B sales landscape driven
by technological innovation.
International License, which permitsuse,
sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the ori
ginalauthor(s) and the
e if changes were made. The images or other thirdparty material in this article
rial. If material is not included in
ons licence and your intended use is not permitted by statutory regulation orexceeds the permitted use, you will need
to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/lic
enses/by/4.0
The Impact of Technology on Sales Performance in B2B Companies
depth exploration of the multifaceted impact of
ithin B2B companies. It delves into how
digital transformation and the integration of advanced technologies such as
artificial intelligence, machine learning, and big data analytics have
revolutionized traditional sales processes, enhancing efficiency, cus
tomer
engagement, and ultimately, sales outcomes. The discussion spans several key
areas, including the pivotal role of customer relationship management (CRM)
systems in improving sales processes, the significance of digital marketing in
ing with potential customers, and the transformative effects
of automation and chatbots in streamlining sales operations and providing
superior customer service. The article also touches on the emerging trend of IoT
-
er personalized and proactive sales
experiences. Through a series of case studies, the article illustrates successful
implementations of technology in B2B sales, showcasing the tangible benefits
and improvements in sales performance. However, it also addre
sses the
challenges and barriers to technology adoption, such as resistance to change and
integration difficulties, while offering strategies to overcome these obstacles.
The future trends section anticipates further advancements in tech
-driven sales
ices, highlighting the ongoing evolution of the B2B sales landscape driven
87Md. John Deep Smith
Introduction
In today's rapidly changing business landscape, the role of technology in enhancing sales
performance in B2B companies has become increasingly important[1]. With the advent of digital
transformation, companies have started to recognize the potential of technology in improving
their sales processes and driving revenue growth. This literature review aims to explore the
available research and insights on how technology can improve sales performance in B2B
companies.The review begins by highlighting the lack of comprehensive research on the use of
digital marketing in a B2B context. Recent studies have shown that companies that embrace
technology in their go-to-market channels, models, and culture are more likely to unlock
substantial value [2].
According to a report by McKinsey & Company, top quartile B2B players generate 3.5 percent
more revenue and are 15 percent more profitable than the rest of the B2B field[3].Moreover, the
report identifies a pool of $74 billion to $298 billion in revenue growth that could be tapped
through enabling technology in sales.The value of technology in enhancing sales performance
primarily comes through new customer experiences, refined pricing strategies, and enhanced
selling processes.The literature review also emphasizes the importance of digital marketing in
the B2B context. A systematic literature review on B2B digital marketing conducted by scholars
and practitioners identified several emerging themes [4]. These themes include digital marketing
communication and sales management, which have witnessed steady development, while areas
such as decision support systems, critical success factors, and electronic marketing orientation
have been less explored. The review also highlights the concept of creating a "digital
relationship" with customers. According to the study, sales made through mobile devices have
experienced a rapid increase and now account for 22% to 27% of all online sales. This shift
towards digital interactions highlights the need for B2B companies to adapt and leverage
technology in their sales processes.Furthermore, the literature review acknowledges that while
technology can enhance sales performance in B2B companies, it does not replace the importance
of human interaction in buildingstrong relationships with customers. In their study on technology
and the sales force, researchers have found that technology plays a significant role in enabling
salespeople to successfully complete a sale in business.
One of the key areas where technology can enhance sales performance in B2B companies is in
the presales stage[5]. Digital marketing can provide valuable support in this stage by helping
companies engage with potential customers and generate leads. Through various digital
marketing tools and techniques such as search engine optimization, content marketing, social
media advertising, and email marketing, B2B companies can reach a wider audience and attract
potential customers.These digital marketing strategies allow companies to showcase their
products and services, provide valuable information and resources, and build brand awareness.
Moreover, digital marketing also allows for personalized and targeted communication, enabling
B2B companies to tailor their messaging and approach based on the specific needs and interests
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)88
of individual prospects[6].This personalized approach can significantly improve the effectiveness
of presales activities and increase the likelihood of converting leads into customers. In addition
to supporting presales activities, technology can also enhance the sales process itself[7].
By leveraging technology, B2B companies can streamline their sales processes and improve
efficiency [8]. This can be achieved through the use of customer relationship management
systems, sales automation software, and other sales enablement tools [9].These technologies can
help sales teams track and manage customer interactions, automate repetitive tasks, and provide
real-time insights and analytics to better understand customer behavior and preferences. This, in
turn, allows sales teams to make more informed decisions, prioritize their efforts effectively, and
deliver a personalized and tailored sales experience to each customer. Furthermore, technology
can also facilitate collaboration and communication within the sales team, enabling better
coordination and information sharing. For example, cloud-based collaboration platforms and
communication tools such as video conferencing and instant messaging can enable sales teams to
work together seamlessly, even if they are geographically dispersed. Technology can also greatly
enhance the transaction stage of the selling process in B2B companies. Through the use of e-
commerce platforms, online ordering systems, and electronic payments, B2B companies can
streamline the purchasing process and make it more convenient.
The Digital Transformation of B2B Sales Strategies
The digital transformation of B2B sales strategies can greatly improve sales performance by
streamlining and enhancing various aspects of the sales process. One of the ways technology can
improve sales performance in B2B companies is through the use of customer relationship
management systems [8]. These systems enable companies to effectively manage and analyze
customer information, track sales activities, and identify potential opportunities for upselling or
cross-selling [4]. CRM systems provide a centralized platform for sales teams to track and
manage customer interactions, allowing for better visibility into the sales pipeline and more
efficient communication with prospects and existing customers. This improved visibility and
efficiency can lead to faster sales cycles, increased customer satisfaction, and ultimately, higher
sales revenue. Another way technology can enhance the sales process in B2B companies is
through the use of sales automation tools. These tools automate repetitive and time-consuming
sales tasks, such as data entry, lead qualification, and follow-up emails[10][11].By automating
these tasks, sales teams can focus their time and effort on building relationships with prospects
and closing deals. This increased efficiency can lead to higher productivity and sales
effectiveness. Additionally, technology can also improve the transaction process in B2B
sales[12]. One way technology can improve the transaction process is through the use of e-
commerce platforms. These platforms allow B2B companies to facilitate seamless online
transactions, making it easier for customers to place orders and make payments.Furthermore, e-
commerce platforms provide B2B companies with the ability to offer personalized product
recommendations, pricing, and promotions based on customer data. This personalized approach
can enhance the customer experience and increase the likelihood of repeat purchases.In addition
to enhancing the sales process, technology can also play a role in IoT-enabled selling[13].
89Md. John Deep Smith
IoT-enabled selling involves the use of Internet of Things technologies to gather and analyze
data from connected devices, enabling B2B companies to provide personalized and proactive
sales experiences[14]. For example, in the manufacturing industry, IoT-enabled sensors can be
used to monitor and track equipment performance. This data can be analyzed to anticipate
maintenance needs and proactively recommend replacement parts or upgrades to customers.
Moreover, technology can enhance the sales process by providing valuable insights and
analytics[15]. These insights can help B2B companies understand customer behavior, identify
trends and patterns, and make data-driven decisions to improve sales performance. Additionally,
technology can improve the effectiveness of salesperson performance. Sales automation tools,
such as customer relationship management systems, can provide sales teams with real-time data
and analytics to track their performance, identify areas for improvement, and make data-driven
decisions to optimize their sales strategies and approaches. The use of technology in B2B sales
can greatly improve sales performance and efficiency. According to a study conducted by
McKinsey, B2B companies that embrace technology and transform their go-to-market channels
can unlock substantial value.
Analyzing the Effectiveness of CRM Systems in Sales Enhancement
One way in which technology can improve sales performance in B2B companies is through the
use of Customer Relationship Management systems[16].CRM systems are software applications
that help companies manage their interactions and relationships with current and potential
customers. These systems provide a centralized database where B2B companies can store and
access customer information, including contact details, purchase history, and preferences. CRM
systems play a crucial role in improving sales performance by enabling B2B companies to
effectively manage and analyze customer data. According to a study conducted by McKinsey,
B2B companies that fully utilize CRM systems can see a 15% increase in sales productivity and
a 25% increase in revenue.CRM systems enable B2B companies to streamline their sales
processes, improve customer communication, and ultimately enhance the overall sales
performance [17]. CRM systems allow B2B companies to track and manage customer
interactions, which helps sales teams prioritize leads, follow up with prospects, and nurture
relationships. CRM systems also provide valuable insights and analytics that can drive sales
performance. These insights include customer buying patterns, preferences, and behaviors, which
can help sales teams personalize their approach and tailor their sales strategies to meet customer
needs. CRM systems can also improve collaboration and coordination within B2B sales teams.
Sales teams can easily share and update customer information, track progress on deals, and
coordinate activities, leading to improved efficiency and effectiveness. CRM systems also
facilitate better customer segmentation, allowing B2B companies to identify their most valuable
customers and allocate resources accordingly[18]. In addition to CRM systems, other
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)90
technological tools and strategies can also enhance sales performance in B2B companies. For
example, digital marketing techniques such as search engine optimization, social media
marketing, and content marketing can help B2B companies reach a wider audience and generate
more leads. Additionally, sales automation tools can help streamline the sales process by
automating tasks such as lead generation, contact management, and follow-up emails.
Technological advancements in analytics and artificial intelligence are also playing a significant
role in improving sales performance in B2B companies[19]. These technologies can provide
advanced data analysis, predictive modeling, and personalized recommendations, allowing sales
teams to make informed decisions and optimize their strategies. Overall, technology has proven
to be a valuable asset in improving sales performance in B2B companies. Numerous studies and
analyses have shown that the implementation of customer relationship management systems can
have a positive impact on sales performance in B2Bcompanies[20]. For example, a study
conducted by researchers found that the use of CRM applications is positively associated with
improved customer knowledge and customer satisfaction. Furthermore, it was observed that
gains in customer knowledge are enhanced when firms share their customer-related information
with their supply chain partners. However, while CRM systems and other technological tools can
enhance sales performance in B2B companies, it is important to note that they should not replace
the importance of human interaction in sales.In a paper that reviewed research on technology in
business-to-consumer (B2C) sales interactions, it was concluded that while technology can
enable a salesperson to successfully complete a sale in B2C settings, it seldom replaces the
human interaction necessary for further relationship development[21]. Another study conducted
by researchers highlighted the importance of good marketing strategies and ICT support in B2B
markets on company performance.They found that the implementation of good marketing
strategies and ICT support had a positive impact on company performance in B2B markets.
Moreover, a study analyzing the impact of technology on B2B sales performance found that
companies that embrace digital transformation in their go-to-market channels, models, and
culture through technology are able to unlock substantial value[22].
The Emergence of AI and Machine Learning in Sales Forecasting and Performance
One area where technology has significantly improved sales performance in B2B companies is in
the realm of sales forecasting and prediction [23]. The emergence of artificial intelligence and
machine learning technologies has revolutionized the way sales teams forecast and predict future
sales. These technologies can analyze vast amounts of data, including historical sales data,
customer behavior patterns, market trends, and external factors to generate accurate sales
forecasts.By using AI and machine learning algorithms, B2B companies can now make more
informed decisions based on data-driven insights. This helps sales teams identify potential
opportunities, prioritize leads, optimize resource allocation, and forecast future revenue more
accurately. Furthermore, AI and machine learning can help automate repetitive tasks and
streamline sales processes, allowing sales teams to focus more on building relationships with
customers and closing deals. In addition to sales forecasting, technology has also improved sales
performance through the use of customer relationship management systems. These systems allow
91Md. John Deep Smith
sales teams to manage and track customer interactions, improve communication and
collaboration within the team, and provide valuable insights into customer preferences and
behavior. By having a centralized database with customer information, sales teams can better
understand their customers' needs and tailor their sales approach accordingly. Moreover,
technology has also facilitated the personalization of marketing efforts in B2B companies.
Through the use of AI-powered algorithms, companies can analyze customer data and behavior
to create personalized marketing strategies that resonate with their target audience. This not only
improves the effectiveness of marketing campaigns but also enhances customer engagement and
loyalty. AI and Machine Learning for Demand Forecasting and Inventory Management Another
area where technology has greatly improved sales performance in B2B companies is in demand
forecasting and inventory management. Companies can leverage machine learning algorithms to
analyze historical sales data, customer behavior patterns, market trends, and other relevant
factors to predict future demand accurately.These algorithms can take into account various
factors that may affect demand, such as seasonality, promotions, and external events.
By utilizing machine learning algorithms, B2B companies can improve their demand forecasting
accuracy and make more informed decisions regarding inventory management. For example,
machine learning algorithms can analyze historical sales data to identify patterns and trends,
allowing companies to anticipate demand fluctuations and adjust their inventory levels
accordingly. This helps to avoid overstocking or stockouts, thus improving customer satisfaction
and reducing costs associated with inventory management.Furthermore, technology has enabled
B2B companies to optimize their supply chain operations. Through the use of IoT devices,
companies can gather real-time data on inventory levels, transportation and logistics
performance, and other supply chain metrics. This data can then be analyzed using machine
learning algorithms to identify inefficiencies, bottlenecks, and areas for improvement in the
supply chain. By leveraging technology, companies can make data-driven decisions to streamline
their supply chain processes and improve overall efficiency. Moreover, technology has also
facilitated the personalization of marketing efforts in B2B companies. Through the use of AI-
powered algorithms, companies can analyze customer data and behavior to create personalized
marketing strategies that resonate with their target audience. This not only improves the
effectiveness of marketing campaigns but also enhances customer engagement and loyalty. In
today's rapidly changing world, the significance of accurate weather forecasts cannot be
overstated. The use of AI-computed data to generate more revenue is a key aspect of how
technology can improve sales performance in B2B companies. The integration of machine
learning and AI technologies in B2B companies has demonstrated significant potential to
enhance sales performance. Machine learning algorithms can analyze vast amounts of data from
various sources to identify patterns, correlations, and trends that may not be evident to human
analysts.This enables B2B companies to make more accurate sales forecasts, identify potential
opportunities, and anticipate customer needs.
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)92
Evaluating the Use of Automation and Chatbots in Streamlining Sales Processes
In addition to the aforementioned benefits, technology has also introduced automation and
chatbots into the sales process, further enhancing sales performance in B2B
companies.Automation and chatbots have revolutionized the way sales teams operate,
streamlining processes and improving efficiency. Automation allows for the automation of
repetitive and mundane tasks, freeing up sales representatives to focus on more important
activities such as building relationships with customers and closing deals.Chatbots, on the other
hand, provide instant support and information to customers, improving customer experience and
increasing engagement. Chatbots can be programmed to answer frequently asked questions,
provide product recommendations, and even assist in the purchasing process. These features not
only save time and effort for sales teams, but also provide a seamless buying experience for
customers, leading to increased sales. Furthermore, technology can also play a significant role in
improving the effectiveness of sales strategies and customer targeting. AI-driven solutions, for
instance, allow marketers to analyze customer data and develop personalized content that is more
likely to drive action. This level of personalization helps to capture the attention of potential
customers and increase the likelihood of conversion. Moreover, AI-powered analytics can
provide valuable insights into customer behavior and preferences, helping sales teams tailor their
approach and offerings to meet individual needs. Additionally, technology can enhance the sales
performance of B2B companies by providing better customer interactions, personalization, and
risk assessment. Smarter customer interactions can be achieved through the implementation of
predictive messaging tools, such as chatbots. These tools enable rapid communication between
buyers and sellers, improving the customer experience and fostering brand loyalty. According to
Drift's survey of B2B professionals, the use of conversational tools like chatbots resulted in a
higher volume of high-quality leads for 54.8% of respondents [24]. Furthermore, chatbots play a
crucial role in collecting information about leads and assessing their level of interest.This
information allows sales teams to provide targeted and relevant business materials that address
the specific needs and interests of potential customers. Moreover, a good chatbot, supplemented
by real people, can help any business deal with surges in demand or sudden losses in the
availability of customer service representatives. like during times of illness or high call volumes.
By leveraging technology, businesses can reduce customer service downtime, ensuring that
inquiries and issues are addressed in a timely manner. In addition to improving customer
interactions, technology can also enhance personalization in the sales process. Personalization is
a key factor in driving sales success, as customers are more likely to engage with content that is
tailored to their specific needs and interests.AI-driven solutions, such as machine learning
algorithms, can analyze vast amounts of customer data to uncover patterns, preferences, and
behaviors. This allows sales teams to understand each prospect and customer on a deeper level,
enabling them to deliver personalized content and offerings that align with their preferences.
Moreover, technology can also assist in risk assessment for B2B companies. By leveraging data
analytics and AI-powered automation, businesses can accurately assess the risks associated with
potential sales opportunities.By analyzing factors such as customer behavior, market trends, and
previous sales data, technology can provide valuable insights into the likelihood of closing a deal
or the potential for customer churn. This information empowers sales teams to make informed
93Md. John Deep Smith
decisions and prioritize their efforts, ultimately leading to more successful sales outcomes.
Technology plays a crucial role in improving sales performance in B2B companies. One of the
key ways technology can enhance sales performance is through the use of chatbots.Chatbots are
AI-powered tools that simulate human conversation and can perform automated tasks based on
specific triggers and algorithms.They can interact with customers through chat interfaces or
voice messaging in web or mobile applications, providing efficient and responsive customer
service. Moreover, a good chatbot, supplemented by real people, can help any business deal with
surges in demand or sudden losses in the availability of customer service
representatives.Chatbots can help businesses improve their sales performance by collecting
information on leads, assessing their level of interest, and providing additional business materials
tailored to their needs. According to a survey by Drift, B2B professionals reported receiving a
greater volume of high-quality leads from using conversational tools like chatbots.
Integrating Big Data Analytics into B2B Sales: A Performance Game-Changer
The integration of big data analytics into B2B sales processes has the potential to be a game-
changer for improving sales performance. By leveraging the vast amounts of customer data
available, B2B companies can uncover valuable insights and patterns that can drive sales
success.These insights can help sales teams identify the most promising leads, personalize their
approach to each customer, and predict future purchasing behavior. This level of data analysis
enables B2B companies to make more informed decisions, allocate resources effectively, and
tailor their sales strategies to individual customers. This can lead to improved sales performance,
as sales teams are able to target their efforts more efficiently and effectively. A study conducted
by Bain & Company found that B2B companies that effectively harness analytics in service to
marketing and sales performance are 1.5 times more likely to achieve above-average growth
rates than their competitors. Furthermore, technology can enhance sales performance through the
use of AI-powered chatbots. AI-powered chatbots have revolutionized customer service in B2B
companies. These chatbots can provide customers with real-time support, answer their queries,
and guide them through the sales process. In addition, AI-powered chatbots can offer
personalized product recommendations based on customer preferences and browsing history.
This not only enhances the customer experience but also increases the likelihood of making a
sale. Furthermore, AI-powered chatbots can assist B2B companies in dealing with surges in
demand or sudden losses in the availability of customer service representatives. They can
seamlessly handle high-volume customer interactions, reducing downtime and ensuring
continuous support for customers.One key benefit of AI-powered chatbots in B2B companies is
their ability to collect valuable data on leads and prospects.This data allows companies to assess
the level of interest and intent of potential customers, enabling them to serve them with targeted
business materials that speak to their specific needs. This personalized approach can significantly
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)94
improve the user experience, increase engagement, and ultimately drive sales. Another way
technology can improve sales performance in B2B companies is through the use of customer
relationship management software. Customer relationship management software helps sales
teams track and manage customer interactions, monitor sales pipelines, and analyze customer
data. This allows sales teams to have a holistic view of their customers, identify sales
opportunities, and effectively prioritize their efforts. Moreover, CRM software can automate
administrative tasks, such as data entry and follow-up reminders, freeing up time for sales teams
to focus on building relationships and closing deals. Additionally, technology can improve B2B
sales performance by providing data-driven insights and predictive analytics.These insights can
help sales teams identify trends, predict customer behavior, and make informed decisions.For
example, with AI-powered chatbots, organizations can provide the best possible customer
service by sending notifications about recently released products, sales schemes, and discounts
that are relevant to individual customers. This targeted approach not only enhances the customer
experience but also increases the chances of making a sale. Furthermore, predictive analytics can
help identify patterns and indicators of potential sales opportunities. For example, by analyzing
data on customer purchasing behavior, market trends, and competitor activities, sales teams can
identify potential upsell or cross-sell opportunities and proactively reach out to customers with
personalized offers and recommendations. One of the key benefits of AI-powered chatbots in
B2B companies is their ability to collect valuable data on leads and prospects.This data allows
companies to assess the level of interest and intent of potential customers, enabling them to serve
them with targeted business materials that speak to their specific needs. In addition to
personalized customer interactions and predictive analytics, technology can also improve B2B
sales performance through data-driven sales processes. For example, AI-powered automation and
digital marketing strategies can streamline and optimize the sales process by automating
repetitive tasks, analyzing customer data, and providing real time insights to sales teams. This
allows sales teams to prioritize their efforts, focus on high-value opportunities, and make data-
driven decisions.
Case Studies: Successful Technology Implementations in B2B Sales
Case Study 1: Predictive Analytics for Sales Patterns
One case study that illustrates the effectiveness of technology in improving B2B sales
performance is the use of predictive analytics to analyze sales patterns [25]. In this case, a
company implemented a predictive analytical model to analyze customer purchasing behavior
and predict the next product that customers are likely to buy. By sending personalized emails and
product recommendations based on these predictions, the company was able to increase email
conversion by 30 to 40 percent. This case study demonstrates how technology, specifically
predictive analytics, can greatly enhance B2B sales performance by accurately identifying
customer preferences and behaviors, and enabling personalized interactions and
recommendations.
Case Study 2: AI-Powered Chatbots for Customer Engagement
95Md. John Deep Smith
Another case study highlights the effectiveness of AI-powered chatbots in improving B2B sales
performance through enhanced customer engagement. In this case, a B2B company implemented
chatbot technology to provide instant and personalized customer support.Customers were able to
interact with the chatbot to get answers to their questions and receive recommendations for
products that fit their needs. This not only improved the overall customer experience but also
increased sales. The chatbot technology was able to handle customer inquiries efficiently, saving
time for the sales team and allowing them to focus on more important tasks.
Case Study 3: Data-Driven Sales Processes
Another case study focuses on the implementation of data-driven sales processes in B2B
companies. In this case, the company leveraged technology and data analytics to gain insights
into customer behavior and pain points at each step of their decision journey.By analyzing
customer data and identifying patterns, the company was able to identify effective selling
processes and profitable customer profiles.These insights helped the company prioritize their
sales efforts and develop targeted digital tools to improve sales productivity and better engage
with customers. The case studies mentioned above demonstrate the effectiveness of technology
in improving B2B sales performance. Not only did technology enhance sales performance
through predictive analytics and personalized interactions, but it also improved customer
engagement through AI-powered chatbots and data-driven sales processes.
Barriers and Challenges to Technology Adoption in Sales Environments
While technology has the potential to greatly improve sales performance in B2B companies,
there are several barriers and challenges that organizations may face when implementing and
adopting these technologies:
1. Resistance to Change: Salespeople and other employees may be resistant to adopting new
technologies due to fear of job loss or changes in their roles and responsibilities. This resistance
to change can hinder the implementation and effectiveness of technology in improving sales
performance.
2. Lack of Training and Understanding: Senior management and sales teams may lack the
necessary training and understanding of how to effectively use and maximize the benefits of
technology in sales environments. This lack of knowledge and skill can hinder the successful
adoption and utilization of technology, limiting its impact on sales performance.
3. Integration Challenges: Integrating new technologies into existing sales systems and processes
can be complex and time-consuming. Organizations may face challenges in integrating new
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)96
technologies into existing systems, especially if they are using multiple platforms or legacy
systems. This integration challenge can result in inefficiencies and difficulties in utilizing the full
potential of technology for sales performance improvement.
4.Data Privacy and Security: With the increasing reliance on technology, the collection, storage,
and use of customer data has become a critical concern. Organizations must ensure that they
have robust data privacy and security measures in place to protect customer information. Not
only do organizations need to comply with relevant data protection regulations, but they also
need to build trust with customers by assuring them that their data is handled securely.
5. Lack of Alignment with Sales Processes: Technology adoption in sales environments must
align with the existing sales processes and strategies of the organization.Mismatch between the
technology and sales processes can lead to inefficiencies, confusion, and resistance from sales
teams.
In order to overcome these barriers and challenges, organizations can take several steps:
1. Provide comprehensive training and support: Organizations should invest in training programs
to ensure that sales teams have the necessary skills and knowledge to effectively utilize
technology. This training should not only focus on technical aspects but also on how technology
can enhance sales processes and improve performance. Additionally, ongoing support should be
provided to address any questions or challenges that may arise during the implementation and
utilization of technology.
2.Offer incentives and rewards: Organizations can incentivize sales teams to embrace and fully
utilize technology by offering rewards or recognition for achieving specific targets or milestones
related to technology adoption and utilization.
3. Create a culture of innovation and continuous improvement: Organizations should foster a
culture that encourages experimentation, learning, and adaptation when it comes to technology
adoption.This will help sales teams to explore new technologies, identify innovative ways of
using them, and continuously improve their sales performance.
4. Engage sales teams in the decision-making process: In order to increase acceptance and
adoption of technology, it is important to involve sales teams in the decision-making
process.This will allow them to provide valuable insights and feedback, address any concerns or
resistance they may have, and ensure that the technology aligns with their needs and processes.
Moreover, communication and collaboration between the sales team and other departments, such
as IT or marketing, can help ensure that technology is implemented in a way that is compatible
with the overall sales strategy and goals of the organization.
Technology has the potential to greatly improve sales performance in B2B companies.By
adopting technology, B2B companies can streamline their sales processes, enhance customer
relationship management, and improve overall salesperson performance [26].However, there are
still barriers and challenges that organizations may face when implementing technology in their
sales teams. One of the key barriers is resistance to change.Resistance to change can occur due to
various reasons, including fear of technology replacing human jobs, lack of understanding or
97Md. John Deep Smith
knowledge about the benefits of technology, and uncertainty about how to effectively integrate
technology into existing sales processes and routines.Another challenge is the complexity of
selecting and implementing the right technology for sales teams. This involves conducting a
financial analysis to determine the cost-effectiveness of the technology, considering the benefits
to employees and customers, and ensuring that the technology is user-friendly and easy to
implement. Moreover, gaining technology acceptance by salespeople is critical in modern
organizations[27]. Sales technology plays a crucial role in enhancing customer relationship
management and improving salesperson performance. Sales technology is an integral tool for
enhancing customer-related information management and knowledge development.
Knowledgeable salespeople are able to use the information and knowledge provided by
technology to practice adaptive selling, improve performance, and enhance their firm's
competitive advantage in the marketplace. This study proposes and tests a model linking
technology acceptance to adaptive selling and job performance of field salespeople [28]. The
study found that behavioral intentions to use technology positively affect salesperson
performance through enhanced propensity to practice adaptive selling[29]. In order to effectively
implement technology in B2B sales teams, it is important to consider the specific needs and
goals of the organization. Additionally, it is crucial for organizations to provide proper training
and support to sales teams to ensure successful adoption and utilization of technology.
Furthermore, progressive sales organizations are recognizing the importance of adopting a
strategic approach to customer relationship management [30].This includes integrating
technology into the sales process to enhance customer interactions, improve efficiency, and
streamline communication. Moreover, technology can also play a crucial role in improving sales
performance in business-to-business (B2B) companies [31].
Technology acceptance plays a crucial role in improving sales performance in B2B companies.
According to a study titled "The Impact of Information Technology Use on Salesperson
Performance: A Task-Technology-Fit Perspective" by Miller and Venkat[32], the use of
information technology by the sales force can significantly influence salesperson performance
[28]. The study found that the use of information technology enhances salespersons' customer
service, attention to personal details, adaptability, and knowledge.This, in turn, positively affects
their overall performance and productivity [26]. Furthermore, technology can improve sales
performance in B2B companies by providing sales teams with access to valuable customer-
related information. This information can help salespeople better understand their customers'
needs and preferences, allowing for more customized and targeted sales strategies.
Future Trends: The Evolving Landscape of Tech-Driven Sales Practices in B2B Markets
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)98
As technology continues to advance at a rapid pace, the landscape of tech-driven sales practices
in B2B markets is also evolving. Organizations are constantly looking for innovative ways to
improve sales performance and gain a competitive edge. One emerging trend is the use of
artificial intelligence and machine learning in sales processes. These technologies have the
potential to automate repetitive tasks, analyze vast amounts of data, and provide valuable
insights to sales teams.By utilizing AI and machine learning, sales teams can identify patterns
and trends in customer behavior, optimize pricing strategies, and personalize sales pitches based
on individual customer preferences and buying patterns. Another trend is the integration of
customer relationship management systems with other sales technology tools. This integration
allows for seamless data sharing and collaboration among sales teams, enabling them to track
and manage customer interactions more effectively. Additionally, the use of technology in B2B
sales can enhance communication and collaboration within sales teams.Collaboration tools such
as project management platforms, video conferencing software, and instant messaging apps
enable real-time communication and facilitate teamwork among sales professionals. Moreover,
the use of technology can also enhance the salesperson's ability to practice adaptive selling. By
leveraging technology, salespeople can gather and analyze customer data in real-time, allowing
them to adapt their sales strategies and approaches based on the specific needs and preferences of
each customer. This ability to customize sales approaches can lead to higher customer
satisfaction and ultimately, improved sales performance.
Technology plays a vital role in improving sales performance and driving revenue
growth.According to a study by McKinsey, top quartile B2B players generate 3.5 percent more
revenue and are 15 percent more profitable than other B2B companies. One of the main sources
of value from technology in B2B sales comes from the ability to enhance customer experiences,
refine pricing strategies, and improve selling processes. Technology can greatly enhance the
presales and discovery stages of the selling process through digital marketing strategies. By
leveraging digital marketing tools, B2B companies can target specific customer segments and
create personalized marketing campaigns that resonate with their audience. This can lead to
increased awareness and interest in the company's offerings, ultimately driving more qualified
leads and opportunities for sales teams. Furthermore, the use of technology in B2B sales can
streamline and automate various aspects of the sales process.For example, customer relationship
management systems allow sales teams to effectively manage and track customer interactions,
from initial contact to the close of a deal. Such systems provide a centralized database of
customer information, allowing salespeople to easily access relevant data and insights to inform
their sales strategies. Additionally, technology enables salespeople to communicate and
collaborate with customers more efficiently. Through the use of instant messaging apps and
video conferencing tools, sales professionals can engage in real-time communication with
prospects and clients, regardless of geographical barriers. This increased connectivity and
accessibility not only allows for quick responses to customer inquiries and needs but also
facilitates more personalized and meaningful interactions.Moreover, technology in B2B sales can
also facilitate a more data-driven approach to decision-making. Sales analytics tools can collect
and analyze data on customer behavior, purchasing patterns, and market trends. This data can
provide valuable insights that sales teams can use to optimize their strategies and tactics. They
can identify patterns and trends, identify areas for improvement, and make data-backed decisions
99Md. John Deep Smith
to drive sales performance.Furthermore, technology can also enable B2B companies to improve
the transaction process.By implementing e-commerce platforms or electronic procurement
systems, companies can streamline the ordering and fulfillment process, reducing manual errors
and delays.
Additionally, technology can enhance the overall sales experience for B2B customers. By
leveraging digital tools such as virtual reality or augmented reality, B2B companies can provide
interactive and immersive product demonstrations to potential buyers.This not only allows
customers to visualize and experience the product or service in a more engaging way but also
helps them make more informed purchasing decisions. In addition to streamlining the sales
process, technology can also support B2B companies in prospecting and lead generation [33].
With advances in technology, B2B salespeople have a broader platform to reach out to their
customers and can collect more personalized information about the customers, the specific
members of the decision-making unit, as well as relevant competitive information. This can
enable salespeople to identify potential leads more effectively and tailor their approaches to
specific customer needs, increasing the chances of successful conversions. Moreover, technology
can also assist in sales training and development[34].
References
[1] Jagodič, G., & Milfelner, B. (2020). Impact of marketing resource on company performance
on B2B markets. International Journal of Innovation and Learning, 28(2), 180-205.
[2] Rosyidah, U., Sudarmiatin, S., & Sumarsono, H. (2023). Digitalization and
internationalization of SMEs: A Systematic Literature Review. Journal of Enterprise and
Development (JED), 5(3), 479-499.
[3] Bullemore, J. (2019). Factores Relevantes en la Gestión de Ventas: Análisis desde el punto de
vista de la empresa y del consumidor. Eduard Cristóbal: Universidad de Lleida. Obtenido de
https://www. tdx. cat/bitstream/handle/10803/666619/Tjbc1de1. pdf.
[4] Kannan, P. K. (2017). Digital marketing: A framework, review and research
agenda. International journal of research in marketing, 34(1), 22-45.
[5] Licong, H., & Ghosh, A. (2023). Effect of Combined Use of social media, Digital, and
Traditional Communication Tools in the Business-to-Business Sales Process of Multinational
Small and Medium-sized Enterprises (SMEs). Asia-Pacific Journal of Management and
Technology (AJMT), 3(4), 10-18.
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)100
[6] Al-Bakri, A. A., Cater-Steel, A., & Soar, J. (2010). The influence of B2B e-commerce on
SMEs' performance and efficiency: a review of the literature. International Journal of Liability
and Scientific Enquiry, 3(3), 213-224.
[7] Ahearne, M., & Rapp, A. (2010). The role of technology at the interface between salespeople
and consumers. Journal of Personal Selling & Sales Management, 30(2), 111-120.
[8] Pandey, N., Nayal, P., & Rathore, A. S. (2020). Digital marketing for B2B organizations:
structured literature review and future research directions. Journal of Business & Industrial
Marketing, 35(7), 1191-1204.
[9] Ahearne, M., & Rapp, A. (2010). The role of technology at the interface between salespeople
and consumers. Journal of Personal Selling & Sales Management, 30(2), 111-120.
[10] Honeycutt Jr, E. D. (2005). Technology improves sales performance—doesn't it?: An
introduction to the special issue on selling and sales technology. Industrial Marketing
Management, 34(4), 301-304.
[11] Hunter, G. K., & Perreault Jr, W. D. (2007). Making sales technology effective. Journal of
marketing, 71(1), 16-34.
[12] Schürmann, J., Taneja, V., Andersen, P., Mustaghni, B., Wieseke, J., & Schmitz, C. (2017).
Bringing Your Digital B2B Sales Up to Speed. Boston Consulting Group, Available at
https://www. bcg. com/de-de/publications/2017/channel-transformation-marketing-
bringingyour-digital-b2b-sales-up-speed.
[13] Adamopoulos, P., Todri, V., & Ghose, A. (2020). Demand effects of the internet-of-things
sales channel: Evidence from automating the purchase process. Information Systems
Research, 32(1), 238-267.
[14] Lo, F. Y., & Campos, N. (2018). Blending Internet-of-Things (IoT) solutions into
relationship marketing strategies. Technological Forecasting and Social Change, 137, 10-18.
[15] Upadhyay, A. K., Khandelwal, K., Nandan, T., & Mishra, P. (2018). Sales technology
usage: Modeling the role of support service, peer usage, perceived usefulness and attitude. Asia
Pacific Journal of Marketing and Logistics, 30(1), 257-271.
[16] Li, L., & Mao, J. Y. (2012). The effect of CRM use on internal sales management control:
An alternative mechanism to realize CRM benefits. Information & management, 49(6), 269-277.
[17] Tongmee, P., & Punnakitidashem, P. (2010, June). Impact of customer relationship
management implementation on service operations management. In 2010 7th International
Conference on Service Systems and Service Management (pp. 1-6). IEEE.
[18] Rodriguez, M., Peterson, R. M., & Ajjan, H. (2015). CRM/social media technology: impact
on customer orientation process and organizational sales performance. In Ideas in Marketing:
Finding the New and Polishing the Old: Proceedings of the 2013 Academy of Marketing Science
(AMS) Annual Conference (pp. 636-638). Springer International Publishing.
101Md. John Deep Smith
[19] Swani, K., Brown, B. P., & Mudambi, S. M. (2020). The untapped potential of B2B
advertising: A literature review and future agenda. Industrial Marketing Management, 89, 581-
593.
[20] Guerola-Navarro, V., Oltra-Badenes, R., Gil-Gomez, H., & Gil-Gomez, J. A. (2021).
Research model for measuring the impact of customer relationship management (CRM) on
performance indicators. Economic research-ekonomska istraživanja, 34(1), 2669-2691.
[21] Saura, J. R., Palos-Sanchez, P., & Blanco-González, A. (2019). The importance of
information service offerings of collaborative CRMs on decision-making in B2B
marketing. Journal of Business & Industrial Marketing, 35(3), 470-482.
[22] Prieto, F., & Braga, H. (2021). Contribution of artificial intelligence in B2B sales: A
Danfoss case study. International Journal of Advanced Engineering Research and Science, 8(4),
225-234.
[23] Singh, J., Flaherty, K., Sohi, R. S., Deeter-Schmelz, D., Habel, J., Le Meunier-FitzHugh, K.,
... & Onyemah, V. (2019). Sales profession and professionals in the age of digitization and
artificial intelligence technologies: concepts, priorities, and questions. Journal of Personal
Selling & Sales Management, 39(1), 2-22.
[24] A. Iuchanka, "How do AI chatbots work? Algorithms and languages.".
[25] Bullemore Campbell, J., & Fransi, E. (2017). Managing sale forces: An exploratory study of
the Chilean companies using the Delphi method. Revista Academica y Negocios RAN, 2(2), 1-16.
[26] Ahearne, M., Jones, E., Rapp, A., & Mathieu, J. (2008). High touch through high tech: The
impact of salesperson technology usage on sales performance via mediating
mechanisms. Management science, 54(4), 671-685.
[27] Honeycutt Jr, E. D. (2005). Technology improves sales performance—doesn't it?: An
introduction to the special issue on selling and sales technology. Industrial Marketing
Management, 34(4), 301-304.
[28] Probert, D., Dissel, M., Farrukh, C., Mortara, L., Thorn, V., & Phaal, R. (2013). The process
of making the business case for technology: A sales and marketing perspective for
technologists. Technological Forecasting and Social Change, 80(6), 1129-1139.
[29] Upadhyay, A. K., Khandelwal, K., Nandan, T., & Mishra, P. (2018). Sales technology
usage: Modeling the role of support service, peer usage, perceived usefulness and attitude. Asia
Pacific Journal of Marketing and Logistics, 30(1), 257-271.
[30] Rocco, R. A., & Bush, A. J. (2016). Exploring buyer-seller dyadic perceptions of
technology and relationships: Implications for Sales 2.0. Journal of Research in Interactive
Marketing, 10(1), 17-32.
ISSN:3006-4023 (Online),JournalofArtificialIntelligence GeneralScience (JAIGS)102
[31] Sharma, A., Iyer, G. R., & Evanschitzky, H. (2008). Personal selling of high-technology
products: The solution-selling imperative. Journal of Relationship Marketing, 7(3), 287-308.
[32] Lucas Jr, H. C. (1975). Performance and the use of an information system. Management
Science, 21(8), 908-919.
[33] Ahearne, M., Hughes, D. E., & Schillewaert, N. (2007). Why sales reps should welcome
information technology: Measuring the impact of CRM-based IT on sales
effectiveness. International Journal of Research in Marketing, 24(4), 336-349.
[34] Bullemore, J. (2019). Metrics in Key Account Management.
... A significant impact of AI and ML in B2B sales and marketing is their ability to harness big data (Mikalef et al., 2021;Spreitzenbarth et al., 2021;Moradi and Dass, 2022). The vast amount of data generated by digital interactions can be overwhelming for human analysts (Hofacker et al., 2020;Smith, 2024;Keegan et al., 2022). However, AI and ML excel at processing and interpreting large datasets, extracting actionable insights that inform strategic decisions. ...
... Account-Based Marketing (ABM) is a strategic approach that targets high-value accounts with personalized marketing efforts (Rodriguez and Peterson, 2024;Smith, 2024;Keegan et al., 2022;Wei and Pardo, 2022). AI and ML optimize ABM strategies by identifying the most promising accounts and tailoring marketing activities to their specific needs. ...
Article
Full-text available
This research presents an in-depth review of how artificial intelligence (AI) and machine learning (ML) are being integrated into business-to-business (B2B) sales and marketing. With the rapid pace of digital transformation, AI and ML technologies have become crucial in modernizing traditional B2B approaches. The paper examines the diverse applications of AI and ML in B2B sales and marketing, focusing on their impact on customer relationship management, lead generation, sales forecasting, personalized marketing, and the automation of routine tasks. By analyzing recent studies and industry reports, the paper identifies key trends and innovations, such as predictive analytics, chatbots, and advanced data analytics, which enhance efficiency and effectiveness in B2B strategies. Additionally, the review addresses the benefits and challenges of adopting AI and ML in B2B settings. The benefits include better decision-making, improved customer insights, increased operational efficiency, and the ability to execute highly targeted marketing campaigns. On the other hand, the challenges involve data privacy concerns, the need for substantial investments in technology and skilled personnel, and the complexities of integrating AI and ML with existing systems. The paper concludes by exploring future directions and potential research areas, stressing the importance of ethical considerations and developing robust frameworks for the successful implementation of AI and ML in B2B sales and marketing. This review aims to offer valuable insights for academics, practitioners, and policymakers interested in harnessing AI and ML to drive innovation and growth in the B2B sector.
... A significant impact of AI and ML in B2B sales and marketing is their ability to harness big data (Mikalef et al., 2021;Spreitzenbarth et al., 2021;Moradi and Dass, 2022). The vast amount of data generated by digital interactions can be overwhelming for human analysts (Hofacker et al., 2020;Smith, 2024;Keegan et al., 2022). However, AI and ML excel at processing and interpreting large datasets, extracting actionable insights that inform strategic decisions. ...
... Account-Based Marketing (ABM) is a strategic approach that targets high-value accounts with personalized marketing efforts (Rodriguez and Peterson, 2024;Smith, 2024;Keegan et al., 2022;Wei and Pardo, 2022). AI and ML optimize ABM strategies by identifying the most promising accounts and tailoring marketing activities to their specific needs. ...
... Updating and constantly adjusting the system is necessary for the AI driven systems to become better. Businesses can implement the usage of AI to handle routine jobs and sales teams cannot have to do exercises over crucial ones [9]. The strategies enable organizations to improve CRM performance, involve customers more and sustain sales growth. ...
Article
Full-text available
The focus of this research is to study the results of the use of AI enabled sales intelligence and predictive analytics onCRM systems. The combination of AI and CRM makes CM forecasting more accurate and productive throughprediction of future trends based on customer data analysis. Predictive analytics provides data-driven insights that helpoptimize sales tactics and decision-making processes. Customer interaction and personalization in CRM systemsbecome more open to strong connections in the time of AI is included. Updates are available continuously and dataruns into the AI models in real time. The results confirm the great enhancement of CRM performance and companyoutcomes provided by AI. The importance of future research is in further refining methodology to create CRM basedon the needs of specific industries for optimal results.
... AI has become a transformative force in digital marketing, with businesses leveraging machine learning to analyze consumer behavior, optimize marketing strategies, and enhance customer engagement [3]. The integration of these three domainsmachine learning, web technology, and digital marketing-has enabled businesses to harness big data for targeted advertising, improve cybersecurity measures in digital transactions, and enhance ecommerce experiences through chatbots and recommendation engines [4]. However, challenges remain, including ethical concerns surrounding AI in marketing, the complexities of data management, and the ever-evolving landscape of cybersecurity threats [5]. ...
Article
Full-text available
This review paper explores recent advancements in artificial intelligence (AI), machine learning (ML), and digital transformation across various domains, including customer engagement, financial technology, healthcare, education, and marketing. Key studies highlight the role of AI chatbots in customer loyalty, the integration of ML in cancer detection, and the influence of digital transformation on FinTech adoption in emerging markets. Additionally, research on machine learning operations (MLOps), big data analytics, and Industry 4.0 technologies underscores the growing demand for automated and scalable AI solutions. The paper also examines the ethical and socioeconomic implications of AI adoption, focusing on privacy concerns, algorithmic bias, and workforce displacement. In digital marketing, AI-driven strategies such as reinforcement learning and NLP-based content optimization have significantly enhanced consumer engagement and targeting. Furthermore, AI applications in robotics, poultry farming, and computational modeling of science communication demonstrate the technology's diverse impact. While AI and ML offer transformative potential, challenges such as data security, regulatory frameworks, and model interpretability remain critical concerns. This review provides a comprehensive synthesis of AI's evolving landscape, emphasizing the need for ethical AI development and interdisciplinary collaboration to maximize its societal benefits.
... The purpose of the study is to find patterns and correlations that may be used to influence strategic decisions on the management of sales teams in technology companies. We will accomplish this by applying statistical tools such as regression analysis (Smith, 2024). ...
Article
Full-text available
This study evaluates how sales staff and training hours affect PT.X's retail sales performance from March 2021 to June 2023. The quantitative time series analysis shows that both variables significantly affect monthly gross merchandise value (GMV), with training hours having a greater effect. The regression study shows that each salesperson and training hour improve GMV by IDR 17,890,000 and IDR 168,189,000. The R² value of 0.645 emphasises the significance of sales training, as well-trained staff can improve sales outcomes and maintain performance during workforce reductions. Strategic managerial decision-making requires a balanced strategy that prioritises quality training to optimise sales success. Future research should consider additional factors such as market conditions and customer satisfaction for a comprehensive understanding
Article
This study explores how AI-powered personalization enhances brand awareness in the B2B e-commerce sector. Through a quantitative approach, the research examines six dimensions of AI personalization, testing seven hypotheses with data from 371 B2B clients in the retail and agricultural sectors. Structural equation modelling using SPSS 25 and AMOS reveals that AI-driven factors such as customer service, information and recommendation, machine learning, information and satisfaction quality significantly boost brand awareness. We have conducted analysis of demographics, exploratory factor analysis (EFA) for reliability test and validity assessment, confirmatory factor analysis (CFA) and structural equation modelling (SEM) for testing the hypothesis, SPSS 25 and AMOS were used for the analysis. However, privacy, interaction and accessibility, as well as the mediational effect of value co-creation, show no notable impact. This study provides fresh insights into AI’s role in B2B branding, offering a valuable framework for professionals looking to integrate AI into their marketing strategies to bolster brand awareness.
Article
Full-text available
Sales performance is crucial in ensuring business growth, profitability, and sustainability, especially in the highly competitive and dynamic Fast Moving Consumer Goods (FCMG) sector. Improving sales performance can be a determining factor for companies to remain relevant and superior in an ever-evolving market. This study aims to analyze the effect of information technology capability on sales performance through the mediation of job crafting and organizational resilience. This study is based on the data from 385 respondents who are salespeople in the Fast Moving Consumer Goods (FMCG) sector in North Sumatra, Indonesia, focusing on how information technology can support the improvement of salespeople’s adaptability and productivity. This study applies the Structural Equation Modeling (SEM) analysis method with the Partial Least Squares (PLS) approach. The study’s results indicate that information technology capabilities affect sales performance (p = 0.000), and information technology capabilities positively affect job crafting (p = 0.000). Information technology capabilities affect organizational resilience (0.611), job crafting affects sales performance (0.533), and organizational resilience hurts sales performance (0.161). Furthermore, the indirect effect shows that information technology capabilities on sales performance through job crafting show a significant effect (0.406), and information technology capabilities affect sales performance through organizational resilience (-0.098), information technology capabilities do not affect organizational resilience through job crafting (0.083). Job crafting does not affect sales performance through organisational resilience (-0.018). This study found that information technology capabilities are essential in improving sales performance through direct and indirect channels, primarily through job crafting and organizational resilience. Acknowledgment This research is supported by the Directorate General of Higher Education, Research, and Technology of the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia, Direktorat Jenderal Pendidikan Tinggi, Riset, Dan Teknologi) through the Regular Fundamental Research Funding in 2024 with contract number 103/E5/PG.02.00.PL/2024; 16/LL1/AL.04.03/2024; 09/II.3-AU/UMSU-LP2M/C/2024. Our deepest gratitude to all parties who have contributed to the completion of this research and our gratitude to the University Leadership and Faculty of Economics and Business, Universitas Muhammadiyah Sumatera Utara, who have provided support facilities for this research to be carried out, and our gratitude to the respondents who voluntarily took the time and provided their insights during the data collection process.
Article
This study looks at how automation, optimization, and Internet of Things (IoT) technologies affect customer trust and loyalty in e-commerce. It raises the important question of how these technologies change what consumers think and how they act. Using a quantitative analysis, the study collects data from customer surveys, transaction records, and performance statistics from different e-commerce sites that use these technologies. The results show that more automation and optimization lead to higher customer trust and loyalty. At the same time, IoT integration boosts the personalization and responsiveness of services, which helps engage customers more. These findings are significant not just for e-commerce but also for healthcare, where customer trust is crucial for accepting digital health solutions. By showing the positive impacts of technology on consumer trust, the research highlights how healthcare providers can also use automated and optimized systems to build trust and loyalty with patients. Thus, this study offers important insights into the wider effects of technology in service industries, indicating that organizations focusing on these innovations may achieve better customer retention and satisfaction, ultimately promoting growth and sustainability in the changing digital world.
Research
Full-text available
Social media marketing (also known as digital marketing and e-marketing) is the use of social media—the platforms on which users build social networks and share information— to enhance brand awareness, foster customer engagement and interaction, conduct market research and gain insights, create and distribute content, as well as generate sales and leads. These elements collectively contribute to the overall success of a business. A systematic review of literature from databases like Google Scholar, Semantic Scholar and Scispace, published since 2020, is conducted. Studies are included based on relevance to social media in Business, focusing on consumer engagement, growth and other related aspects. The search identified 14 studies through which 5 core domains are identified where social media helps business industries: 1) brand awareness and promotion, 2) customer engagement and interaction, 3) market research and insights, 4) content creation and distribution, 5) sales and lead generation. Various social media platforms have shown substantial potential in these areas. Social media has revolutionized business marketing and consumer engagement by creating direct channels for communication, brand building, and customer insights. Effective strategies include selecting the right platforms that align with target audiences, maintaining a consistent brand voice, and using visually engaging, high-quality content. Data analytics offer valuable insights for tailoring content that resonates with consumers, while user-generated content builds authenticity and community. With algorithms often limiting organic reach, social media advertising expands visibility and reach, especially when paired with influencer collaborations. Lastly, businesses benefit from regularly evaluating and adapting their social media strategies to keep pace with trends, ensuring ongoing growth and relevance.
Article
Full-text available
Purpose — The objective of this study is to evaluate the prevailing trends in publications and investigate the literature derived from multiple studies concerning the impact of digitalization on SMEs and their internationalization process.Method — We employ the Systematic Literature Review (SLR) methodology to identify and consolidate publication trends from various articles. The literature utilized in this study is sourced from the Scopus database. By referring to the PRISMA chart, a total of 33 literature works were selected for analysis using VOSviewer. In this research, we utilize bibliometric analysis to examine article trends and employ content analysis to assess the literature.Result — We discovered that there were 19 keywords representing the latest and seldom explored themes among researchers, which were organized into 5 clusters for further analysis within a research framework. Moreover, we identified new and infrequently studied themes such as effectuation, international performance, digital transformation, digital technologies, and export performance. Additionally, we uncovered novel research topics that have the potential to inspire future studies in related areas.Contribution — This study contributes by examining literature on digitalization and internationalization, identifying research trends and proposing future directions, especially for SMEs in Southeast Asian countries. It also introduces the rarely-used Systematic Literature Review (SLR) approach to examine the role of digitalization in internationalization, challenging the dominance of quantitative methods in prior research.
Article
Full-text available
Social media and digital networks have gradually changed how firms sell themselves. In a world where technology is permeating society more and more, understanding how sales teams use business-to-business (B2B) markets can provide insight into the motivations driving the selling process. In the three crucial stages of the B2B sales process, this study investigates how global SMEs use traditional, digital, and social media sales communication methods. The paper's use of grounded theory shows how social media may be quite effective in luring clients from outside. The effective phase appears to be where digital communication tools are most common, whereas customer relationship management still favours more conventional communication methods. Nevertheless, certain important potential boundary circumstances, like relationship culture and closeness to a location, technology, the strategic value of the consumer, creativity, and capital, appear to have an impact on how international SMEs employ a range of communication channels when conducting business. To assist foreign SMEs with their sales communication, designers provide a method for understanding the flow of the B2B sales process.
Article
Full-text available
Customer Relationship Management (CRM) has established itself as one of the fastest growing business management technology solutions in recent years, which makes it a key tool for companies that seek sustainable commercial success over time. The three CRM modules (sales, marketing, and services) are a definitive tool to obtain better business results through the customer-centred approach of modern marketing theories.
Article
Full-text available
Purpose The importance of information service offerings is directly linked to decision-making processes for buying and selling in business-to-business (B2B) companies. B2B companies intend to offer information that helps other companies choose a product or service. This paper aims to identify the relationship between the types of information offered by a B2B company in its B2B marketing strategy and the decision-making of the companies which buy products and services. Design/methodology/approach For this purpose, a data set has been consulted that contains 439 observations that are the result of transactions using customer relationship managements (CRMs) of B2B-type companies. A total of 9 different products were consulted from 20 B2B vendors that manage their transactions with CRM software for B2B operations. A total of 439 different transactions were recorded by these vendors during 2018 ( n = 439) with their information service offerings strategies. The results were analyzed with the partial least squares structural equation modeling. Findings The results showed that the significance of the relationship between internal control factors and external control factors ( H4 ) is the strongest one when using information services offerings strategies in a B2B environment. The results of this research can help B2B companies to improve their decision-making strategies and to define the structure of the information offered in their B2B marketing plans. Originality/value This research makes a contribution to an existing gap, which is to identify what the most important information is for purchasing companies in B2B environments and the relationship with this information, so that B2B purchasers can make good decisions thanks to the information service offerings strategy of the selling companies using CRMs.
Article
Full-text available
Recognizing the rapid advances in sales digitization and artificial intelligence technologies, we develop concepts, priorities, and questions to help guide future research and practice in the field of personal selling and sales management. Our analysis reveals that the influence of sales digitalization technologies, which include digitization and artificial intelligence, is likely to be more significant and more far reaching than previous sales technologies. To organize our analysis of this influence, we discuss the opportunities and threats that sales digitalization technologies pose for (a) the sales profession in terms of its contribution to creating value for customers, organizations, and society and (b) sales professionals, in terms of both employees in organizations and individuals as self, seeking growth, fulfillment, and status in the functions they serve and roles they live. We summarize our discussion by detailing specific research priorities and questions that warrant further study and development by researchers and practitioners alike. © 2019
Article
The internet of things (IoT) is rapidly becoming one of the most popular emerging technologies in business and society. One of the major verticals that has recently begun to effectively use IoT technologies is the retail industry. Given the unprecedented opportunities IoT generates for brands and retailers, it is important to glean timely insights regarding the business value of IoT and understand whether the introduction of an IoT technology as an alternative purchase channel for consumers affects the sales of physical products. Using empirical data from a multinational online retailer who adopted an IoT technology that largely automates the consumers’ purchases and employing a quasi-experimental framework, we study the effect of the introduction of IoT as an alternative sales channel on product sales. Our analyses reveal a statistically and economically significant increase in sales and demonstrate the business value of the IoT channel for retailers and brands. In addition, we conduct other analyses of IoT to delve into the effect of heterogeneity and empirically validate the underlying mechanisms by examining the impact of IoT for products in different price ranges, levels of substitutability, and product categories. For instance, our analyses reveal that less expensive and more differentiated products, as well as experience and utilitarian goods, can accrue higher benefits leveraging more effectively novel IoT technologies. This is the first paper to study the impact of an IoT technology on product sales, drawing important implications for devices and technologies largely automating the purchase process.
Article
Purpose This study aims to analyze the available literature on the use of digital marketing in a business-to-business (B2B) context. It identifies gaps in the current research knowledge and proposes a research agenda for scholars and practitioners. Design/methodology/approach A systematic literature review has been conducted on B2B digital marketing. The various themes have been identified on the basis of the comprehensive analysis of extant literature. Also, semi-structured interviews with B2B marketing experts were also conducted to further refine the emerged digital marketing themes. Findings Although some B2B firms use digital marketing, most are unable to leverage its full benefits because of the dearth of comprehensive research on the subject. This review provides an insight into the emerging themes by developing a collaborative conceptual framework. The review highlights that few areas such as digital marketing communication and sales management have witnessed steady development while decision support systems, critical success factors, electronic marketing orientation (EMO), etc., were lesser explored. Furthermore, it identifies research gaps and highlights the emerging research themes for future researchers. Practical implications The collaborative framework will help organizations to align their digital marketing activities as per the changing market dynamics such as the focus on building social media capability, EMO and value co-creation. Originality/value Research on the use of digital marketing by B2B firms is still at the embryonic stage. This study is a pioneering effort to review the use of digital marketing in B2B organizations and identify research priorities for scholars and practitioners.
Article
Academic research has not kept pace with the growth of and investment in B2B advertising. Important topics need to be addressed and critical questions remain unanswered. This review systematically analyzes, consolidates and identifies knowledge gaps in prior research related to B2B advertising in order to motivate dedicated future study. Based on a methodical, concept-centric approach, B2B advertising literature is categorized by: 1) type of article; 2) theories applied; 3) message appeals, content, and strategies used; 4) media selected; 5) effectiveness and performance measurement; and 6) budgeting approaches. The review indicates limited and outdated research on several topics including message strategies and appeals, advertising budgets, advertising effective measures related to buyer and financial outcomes, and media usage. Furthermore, research on overall B2B integrated marketing communications strategies is lacking. The review highlights research opportunities and questions with the potential to provide guidance to B2B marketing managers.