Sales - Science topic

You're on the right track by diving into time series forecasting in machine learning! Since you're already exploring the basics and popular forecasting methods, here are some scientifically grounded suggestions to deepen your understanding and enhance the quality of your analyses:

1. Go Beyond Traditional Forecasting Methods

While classical models like ARIMA, Exponential Smoothing (ETS), and Holt-Winters are widely used, machine learning-based approaches such as Long Short-Term Memory (LSTM), Transformer-based models, and Temporal Fusion Transformers (TFT) have revolutionized time series forecasting. Consider comparing these approaches on the same dataset to evaluate their strengths and weaknesses.

2. Feature Engineering is Key

Unlike traditional statistical models, machine learning approaches benefit significantly from feature engineering. Some useful engineered features include:

Lag variables (previous values of the series)

Rolling statistics (moving averages, standard deviations)

Fourier transformations (to capture seasonality)

External covariates (macroeconomic indicators, weather data)

3. Consider the Stationarity of Your Data

Many traditional forecasting models assume stationarity (constant mean and variance over time). If your data is non-stationary:

Use differencing or log transformations to stabilize variance.

Test for stationarity using the Augmented Dickey-Fuller (ADF) test.

If using ML models, consider models like XGBoost or LSTMs, which can work well with non-stationary data.

4. Model Selection and Hyperparameter Tuning

Each forecasting method has hyperparameters that significantly impact accuracy:

For ARIMA: Use grid search over (p, d, q) to find optimal values.

For ML models: Tune parameters like number of trees (Random Forest, XGBoost) or number of layers and neurons (LSTM, Transformers).

5. Performance Metrics Matter

Evaluate models using the right performance metrics:

Mean Absolute Percentage Error (MAPE): Good for percentage-based accuracy.

Root Mean Squared Error (RMSE): Penalizes larger errors more heavily.

Mean Absolute Error (MAE): A simpler alternative to RMSE.

Diebold-Mariano Test: Use this test to compare two forecasting models statistically.

6. Understand Real-World Constraints

In real-world applications:

Data availability and quality can be a bottleneck.

Concept drift (changes in underlying patterns) can reduce model accuracy over time.

Computational efficiency matters, especially for real-time forecasting (e.g., in financial markets).

7. Experiment with Advanced Methods

Try Facebook’s Prophet if you want an interpretable ML-based model.

Experiment with Attention-based Transformers (e.g., Informer, Time Series Transformers) for long-range dependencies.

Use AutoML frameworks (like AutoTS, H2O AutoML) for automated feature selection and model tuning.

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Final Advice

If you're making educational content on this topic, consider: ✔ Comparing classical vs. ML-based methods on the same dataset.

✔ Demonstrating real-world applications (e.g., stock price forecasting, sales predictions).

✔ Explaining trade-offs (e.g., accuracy vs. interpretability).

By integrating statistical rigor, ML advancements, and real-world applications, you’ll not only master time series forecasting but also create valuable educational content for others.

Research and Development (R&D) lag can negatively impact sales revenue in several ways:

1. *Delayed Product Launches* : When R&D processes take longer than expected, it can delay the launch of new products, causing missed market opportunities and allowing competitors to gain an advantage.

2. *Increased Costs* : Prolonged R&D can lead to higher costs, which can reduce profit margins and make it harder to price products competitively.

3. *Reduced Innovation* : Slow R&D can stifle innovation, leading to a lack of new and improved products that can drive sales growth.

4. *Market Misalignment* : If R&D is not aligned with market needs and trends, the resulting products may not meet customer expectations, leading to lower sales.

First of all avoid buying disputed rights property of any type specially when matter is subjudice

here are some points explaining sale of disputed rights properties (it means immovable assets, financial instruments and others)

Sale of Disputed Rights: Key Points

Definition: A sale where the seller transfers rights or property under dispute or litigation to a buyer.

Risk Assumption: The buyer takes on the risk of the dispute’s outcome; success or failure impacts their ownership or benefits.

Legal Validity: Generally valid under laws like the Transfer of Property Act, 1882 (India), provided it does not involve inalienable rights or statutory prohibitions.

Caveat Emptor: The buyer is expected to perform due diligence and accept the risks involved.

Disclosure: The seller must inform the buyer of existing disputes to avoid claims of fraud or misrepresentation.

Discounted Price: The sale price usually reflects the uncertainty and potential risk associated with the dispute.

Legal Documentation: Clear agreements outline the nature of the dispute and risk transfer to the buyer.

Prohibited Practices: Avoidance of maintenance (lawsuit support for profit) or champerty (sharing lawsuit proceeds) is necessary to ensure fairness.

Example of a Sale Involving Disputed Rights:

Scenario:

A seller owns a piece of agricultural land that is under litigation due to a boundary dispute with a neighboring landowner. The court case has been ongoing for several years, and the final decision is pending.

Transaction:

The seller offers to sell the land to a buyer at a discounted price, clearly informing them of the ongoing dispute. The sale agreement explicitly states:

Details of the litigation.

Acknowledgment by the buyer of the dispute and assumption of risk.

No liability on the seller if the court rules against the seller’s claim to the land.

Outcome:

If the court rules in favor of the seller, the buyer retains undisputed ownership and benefits from the lower purchase price.

If the court rules against the seller, the buyer loses the disputed portion of the land but cannot claim compensation from the seller.

This example highlights the importance of disclosure, risk assumption, and clear documentation in disputed rights transactions.

In case you have specific query about any transaction do write and we can explore its outcome

Yes, you can consider purchasing a high-end, vented kiln as an alternative to a large muffle furnace, but they are not entirely interchangeable due to some key differences in their design, functionality, and intended use. Hence they are interchangeable subject to comparison below. If that falls in your working parameters range. Go ahead

Here are the key differences between a muffle furnace and a vented kiln:

Maximum Operating Temperature: A muffle furnace can reach up to 1,600°C or higher, while a vented kiln typically operates up to 1,400°C or lower.

Heating Environment: A muffle furnace uses a fully sealed environment, ensuring uniform and controlled heating. In contrast, a vented kiln allows gas exchange through its ventilation system.

Primary Use: Muffle furnaces are commonly used for sintering, material testing, metallurgy, and calcination. Vented kilns are primarily used for ceramic production, pottery, and glass firing.

Temperature Precision: Muffle furnaces offer very high temperature precision, while vented kilns have moderate precision.

Ventilation: Muffle furnaces lack ventilation to maintain complete isolation, while vented kilns include ventilation mechanisms to allow gases or byproducts to escape during firing.

Typical Applications: Muffle furnaces are suited for laboratory testing and sintering metals, while vented kilns are best for ceramics, pottery, and glass-related firing processes.

Specifically, based on your sentence

"The manager suggested that we sell our products with a ten percent discount for cash sales, but This problem was not solved."

So, presumably, you have the sales data before and after the discount. Thus, (1st) create (fit) a demand function on these sales data; and (2nd) write down (create) the correponding revenue function and maximize it - - a standard textbook example, however, maximization will reviel the optimal discount value that may work out well for you (under the given (your) sales data).

btw, Additionally, a cost function can be incorporated in the revenue function, which is then maximized again for a more optimal (and conservative) discount.

Good luck

Will be the result

To develop an effective sales plan, it is essential to consider several aspects ranging from analyzing the current situation to establishing strategies and monitoring results. Below is a process outlined in key steps:

Market and Competitor Analysis: Examines the current environment in terms of market trends, competitors, and customer needs. This analysis provides a clear view of where the product or service stands in relation to the market.

Defining Sales Objectives: Establish clear, specific, measurable, attainable, relevant, and time-bound (SMART) goals. Objectives may include annual or quarterly sales, market share, or growth in new segments.

Ideal Customer Profile (Buyer Persona): Defines the ideal customer, considering demographic factors, needs, problems faced, and purchasing motivations. This facilitates the customization of strategies and messages.

Sales Strategies: Develop strategies aligned with objectives. Some strategies may include market segmentation, product differentiation, focusing on specific distribution channels, or cross-selling.

Action plan: Detail the specific actions for each strategy, such as marketing campaigns, promotional tactics, team training, strategic alliances, etc. It is important to assign responsibilities and times for each action.

Defining the team and resources needed: Define the human and material resources needed to fulfill the plan. This includes training, customer management tools (CRM), and any other relevant resources.

Establishing the budget: Calculate the total cost of implementing the plan and allocate the necessary budget for each activity. Make sure to adjust the budget based on resources and priorities.

Implementation and monitoring: Execute the action plan and establish a KPI (Key Performance Indicator) monitoring system that allows you to monitor progress. Some KPIs can be number of leads generated, conversion rate, sales achieved, among others.

Evaluation and adjustments: At the end of each period, perform an analysis of the results obtained by comparing them with the initial objectives. Adjust the strategies and actions based on the results to optimize the plan.

This approach helps create a structured and adaptable sales plan, with a clear focus on the customer and continuous improvement of results.

I would compare the church and the organization.

The former has the covenantal shepherd and belivers. The latter has contracted employees.

As for my CLAY WORKS, I HAVE BEEN CARELESS & WANTON. Whoever are in possessions of those CLAY SCUPTURES might think they are seating on BILLIONS. I TRUST THE FORBIDDEN CITY HAS SAFEGUARDED THEM...

For me, WOO cares...

I can ALWAYS DO THE WAR OF ART...

Можно незначительно увлажнять порошковую смесь, а затем это вещество возгонять при термообработке( спекании).

Tajudeen Yahaya Wassel Al-Bodour Qasim M. Shakir Chinnaraji Annamalai

Predictive analysis of online retail sales trends and customer behavior involves using historical sales data, customer interactions, and advanced analytics techniques (like machine learning) to forecast future sales, identify purchasing patterns, and tailor marketing strategies to improve customer engagement and sales performance.

To successfully market your online courses, follow these strategies:

Rohit Kumar

Local farmers often face several economic disadvantages due to the import and sale of off-season vegetables:

In my opinion this approach is true. Because short size texts are more attractive for people, due to the fact that they can consider that they will read it in a few minutes and understand easily. Actually, to produce short and understandable texts in academy is not that simple ( because we want to write everything clearly ) , readers and researchers need this type of readings.

The integration of Augmented Reality (AR) in online luxury retail has a significant impact on UK consumer purchases by enhancing the shopping experience, increasing confidence in product selection, and reducing the likelihood of returns. AR allows consumers to virtually try on products, visualize how items will look in their physical space, and explore intricate details, such as fabric texture and craftsmanship, all from the comfort of their own home. This immersive experience bridges the gap between the online and offline shopping experience, thereby fostering a deeper connection with the product and brand.

Engineering management can optimize AR integration in online luxury retail by prioritizing several key strategies:

User Experience Design: Invest in intuitive and seamless AR interfaces that enhance the overall shopping experience. This involves collaborating closely with UX/UI designers to create interfaces that are easy to navigate and provide realistic representations of luxury products.

Technological Innovation: Stay at the forefront of AR technology advancements to continually improve the quality and realism of virtual try-on experiences. This may involve leveraging computer vision, machine learning, and 3D modeling techniques to create lifelike renderings of products.

Performance Optimization: Ensure that AR features are optimized for performance across various devices and internet connections. This requires rigorous testing and optimization to minimize latency and ensure smooth rendering, particularly on mobile devices, which are increasingly becoming the primary platform for online shopping.

Veuillez consulter mon document de recherche "Modèle d'excellence commerciale axé sur le client". Il montre diverses activités, leurs interrelations et les résultats attendus.

yes. souls are so invaluable, and can only be redeemed by Jeusus' precious blood.

Algunas variables relevantes para el pronóstico de ventas en una cadena de supermercados podrían incluir:

1. Historial de ventas pasadas: Analizar patrones de ventas anteriores puede proporcionar información sobre tendencias estacionales y ciclos de demanda.

2. Datos demográficos: Información sobre la población local, como edad, ingresos, tamaño de la familia, y características socioeconómicas pueden influir en las preferencias de compra.

3. Cambios en la economía local: Factores como el desempleo, la inflación y el poder adquisitivo pueden afectar el comportamiento de compra de los consumidores.

4. Promociones y publicidad: La efectividad de las campañas promocionales y de marketing puede influir en las ventas, así como el tipo y la frecuencia de las promociones.

5. Competencia: La presencia y las estrategias de los competidores pueden impactar en las ventas de la cadena de supermercados.

6. Eventos especiales y días festivos: La planificación para eventos como días festivos y días de descuento puede ayudar a prever cambios en la demanda.

7. Estacionalidad y tendencias de consumo: Factores estacionales, como el clima, así como las tendencias de consumo en productos específicos, pueden influir en las ventas.

8. Ubicación de la tienda: La ubicación geográfica de las tiendas y las características del área circundante pueden afectar las ventas.

Al considerar estas variables y utilizar técnicas de análisis de datos, como modelos de series temporales o análisis de regresión, una cadena de supermercados puede mejorar su capacidad para pronosticar ventas con mayor precisión.

Use correlation or regression methods

Well, I don't get a clear picture of the variables you are considering for your study. Since you are considering daily data and you have more than one variable you can either apply non-linear ARDL(s) or multivariate volatility models depending on the objectives of your study. Bear in mind that the pre-tests are highly instrumental to the choice of models.

Best wishes!

In my opinion, the penalty provisions for violating the agreement are invalid.

The penalty is the "legal consequences" part of the complete contranctual article, and contract law that discourages illegal behavior, will also invalidate its legal consequences. And the law stipulates that real estates can only be transferred by " registration", and over-the-counter transactions are not allowed, which is a basic requirement to protect transaction security. Furthermore, the breaching party's duty of good faith shall be based on the most basic spirit of the contract, and there is no room for compliance with illegal agreement, and it cannot engage in illegal activities because of good faith.

If remedial measures are considered, where one party has paid the purchase price of a house, but is unable to register and cannot obtain the property, the breaching party can be required to return the unjust enrichment and return purchase price that has been paid; At the same time, considering whether the counterparty is at fault in the negotiation process of such transaction, it claims the liability for negligence in the contracting of invalid agreement, and requires appropriate compensation for loss of opportunity cost of negotiation.

Dear Ashish Thakur please recommend my answer if helpful.

Scaling the adoption of Additive Manufacturing (AM) can indeed be challenging, and addressing the shortage of workforce skills is a crucial aspect of successful implementation. Here are some strategies that engineering management can adopt to handle the shortage of workforce skills in the context of AM:

1. **Invest in Training and Education:**

- Develop comprehensive training programs for existing employees to upskill them in AM technologies. This can include both theoretical knowledge and hands-on training. Consider partnering with educational institutions to provide specialized courses or certifications in AM.

2. **Recruitment and Talent Development:**

- Actively recruit individuals with a background in AM or related technologies. Look for candidates with experience in 3D printing, materials science, and computer-aided design (CAD). Additionally, invest in programs to develop talent internally by offering mentorship and career development opportunities.

3. **Collaborate with Educational Institutions:**

- Establish partnerships with universities, technical schools, and research institutions to influence curriculum development. This collaboration can help ensure that graduates are equipped with the necessary skills for AM. Consider offering internships or co-op programs to bridge the gap between academia and industry.

4. **Cross-Functional Training:**

- Encourage cross-functional training within the organization. Employees with expertise in traditional manufacturing methods can undergo training to understand and adopt AM technologies. This promotes a multidisciplinary approach, fostering collaboration between different departments.

5. **Knowledge Sharing and Collaboration:**

- Foster a culture of knowledge sharing within the organization. Encourage collaboration between teams working on AM projects and those focused on traditional manufacturing. This helps in the exchange of skills and expertise.

6. **Create Centers of Excellence:**

- Establish dedicated Centers of Excellence (CoE) for AM within the organization. These centers can serve as hubs of expertise, where employees can receive specialized training, work on AM projects, and share knowledge.

7. **Utilize External Training Resources:**

- Leverage external training resources, such as workshops, conferences, and online courses, to supplement internal training efforts. This can expose employees to the latest advancements in AM and provide opportunities for networking with industry experts.

8. **Employee Engagement and Recognition:**

- Recognize and reward employees who demonstrate a commitment to learning and adopting AM technologies. This can boost morale, create a positive learning environment, and motivate others to acquire new skills.

9. **Stay Informed on Industry Trends:**

- Engineering management should stay informed about the evolving landscape of AM technologies. Regularly assess the skills required in the industry and align training programs accordingly to ensure relevance and competitiveness.

10. **Continuous Improvement:**

- Establish a continuous improvement mindset within the organization. Regularly assess the effectiveness of training programs, solicit feedback from employees, and adjust strategies based on changing workforce needs and technological advancements.

Addressing the shortage of workforce skills in AM requires a holistic approach that combines training, recruitment, collaboration, and a commitment to ongoing learning and development. By strategically investing in workforce development, engineering management can position their teams for success in adopting and scaling AM technologies.

Unfortunately, many debates are won by violence. People become large and intimidating when venting an opinion steeped in emotional experience.

Artificial Intelligence (AI) has made significant strides in transforming customer service, sales, and correspondence across various industries. In customer service, AI technologies play a pivotal role in enhancing efficiency and improving the overall customer experience.

In customer service, AI-powered chatbots and virtual assistants are widely used to handle routine inquiries and provide instant responses. These AI systems are designed to understand natural language and can address customer queries, resolve issues, and offer information 24/7. This not only reduces the workload on human customer service agents but also ensures swift and consistent responses for customers.

Sales processes have also been impacted by AI. AI-driven analytics and predictive modeling help sales teams analyze customer data, identify trends, and make informed decisions. AI algorithms can predict customer preferences, recommend personalized products or services, and optimize pricing strategies. Additionally, AI-powered sales chatbots can engage with potential customers, answer queries, and guide them through the sales funnel.

Correspondence, including emails and written communication, benefits from AI in various ways. Natural Language Processing (NLP) enables AI systems to understand and generate human-like text. AI tools can assist in drafting emails, providing grammar and style suggestions, and even automatically categorizing and prioritizing incoming messages. This not only saves time but also enhances the quality of written correspondence.

Moreover, AI facilitates sentiment analysis in customer interactions. By analyzing the tone and context of conversations, AI systems can gauge customer satisfaction, identify potential issues, and help businesses address concerns proactively.

However, while AI brings numerous advantages, it's important to note that the human touch remains crucial, especially in customer-centric fields. AI should complement human efforts, allowing professionals to focus on complex problem-solving, emotional intelligence, and building deeper customer relationships.

Poetry can also be regarded as the creative probabilistics of natural human language.

Tax can be a serious burden for small and medium enterprises and therefore a demotivating factor if not applied with a consideration for the SMEs, though a source of revenue for the government that is charge with the responsibility of providing an enabling environment for SMEs. The side of it most be put into consideration.

Competitive advantage is a crucial aspect of an organization's success, and it is influenced by a myriad of internal and external factors. Internally, the organizational culture plays a pivotal role. A positive and adaptive culture fosters innovation, employee satisfaction, and efficient operations, all of which contribute to gaining a competitive edge. Additionally, the skillset and expertise of the workforce contribute significantly. Organizations that invest in training and development often find themselves better equipped to adapt to changing markets.

Moreover, effective leadership is a key internal factor. Visionary leaders who can navigate uncertainty, make strategic decisions, and inspire their teams contribute to sustained competitive advantage. The efficiency of internal processes and operations also plays a critical role. Streamlined and well-organized processes enhance productivity, reduce costs, and improve the overall competitiveness of an organization.

Externally, market dynamics and competition are primary factors affecting competitive advantage. Understanding market trends, consumer behavior, and anticipating industry changes allow organizations to proactively position themselves ahead of competitors. Moreover, having a strong brand image and reputation in the market is crucial. A positive brand perception can attract customers, build loyalty, and differentiate a company from its rivals.

Technological advancements are another external factor. Organizations that leverage cutting-edge technologies to enhance products, services, or operational efficiency gain a significant competitive advantage. Economic conditions, regulatory environment, and geopolitical factors also impact an organization's competitive position. Adapting to these external factors requires strategic planning and flexibility.

achieving and sustaining competitive advantage is a multifaceted challenge that requires a holistic approach. Internally, it involves fostering a positive culture, developing human capital, and ensuring efficient operations. Externally, organizations must be vigilant in understanding market dynamics, embracing technology, and navigating the ever-changing external environment. Successful organizations adept at balancing these internal and external factors are well-positioned to thrive in competitive landscapes.

search in Kaggle

good luck

A vendor who focuses on providing genuine value to customers, even if it involves selling a higher-value product or service, is likely to establish trust and credibility. Over time, this approach can lead to customer loyalty, repeat business, and positive referrals. Hence i feel your statement is false.

Hope it helps

Yes, the incorporation of social media marketing tools can help businesses create new sales and promotion opportunities. Here are some specific examples:

Carbon trading, also known as emissions trading or cap-and-trade, is a market-based approach to controlling and reducing greenhouse gas emissions. It is a system designed to incentivize organizations, industries, and countries to limit their carbon dioxide and other greenhouse gas emissions. The goal is to mitigate climate change and global warming by putting a price on carbon emissions.

Here's how carbon trading works:

The idea behind carbon trading is to create economic incentives for emission reductions. Companies that can reduce emissions at a lower cost can sell their allowances, while those facing higher costs can buy allowances to comply with regulations more economically.

Carbon trading is a tool aimed at achieving emissions reduction targets outlined in international agreements like the Kyoto Protocol and the Paris Agreement. It offers a market-based solution to address climate change while allowing flexibility for industries to transition to cleaner technologies and practices.

Dear researchers, scientists, friends, participants in discussions on the discussion forums of this Research Gate portal

In the midst of these our substantive discussions on various topics and issues considered scientifically, there are unfortunately but fortunately few malicious responses, in fact they are not substantive responses only malicious emotionally negative comments, comments that may suggest negative emotional states towards other people participating in the discussions, towards other cultures that these people represent. This could inspire an interesting research topic. It may be worth addressing this problem scientifically and conducting research on the subject. I encourage you to do so. I would be happy to join the research on this topic, if a research team would be formed on this topic. How about forming an international research team on this topic? Dear researchers, scientists, friends, participants in discussions on the discussion forums of this Research Gate portal, what do you think?

On the other hand, I am glad that, despite the occurrence of a few malicious, disrespectful comments to other people, most of the responses of people participating in various discussions, on various issues of scientific problems, most of the answers given by researchers and scientists, people participating in various discussion threads give fully substantive answers without negative emotional charge to the author of the questions asked, to other people inspiring discussion. Thanks to substantive answers with respect for other people, other researchers and scientists, including people representing other countries, other cultures, etc., science really develops, scientific cooperation develops.

Thank you very much and I invite you to substantive discussions.

My warmest greetings,

Dariusz Prokopowicz

Could you please clarify your question?

There are many aquafeeds available in the world market. According to a report by Grand View Research, the global aquafeed market size was valued at USD 72.5 billion in 2022 and is anticipated to grow at a compound annual growth rate (CAGR) of 4.4% from 2023 to 2030

The ethical implications of consuming lab-grown meat vary depending on one's perspective. Supporters argue that it has the potential to address issues such as animal welfare, environmental sustainability, and food security. Lab-grown meat can be produced without raising and slaughtering animals, reducing the need for land, water, and other resources associated with traditional livestock farming. It could also potentially reduce animal suffering.

On the other hand, some people have concerns about the long-term health effects and safety of lab-grown meat, as well as the potential impact on traditional farmers and the economy. Additionally, there are philosophical and cultural considerations surrounding our relationship with food and the natural world.

If someone were served lab-grown meat without being informed, their reaction could vary. Personally I might not have any issue with it and simply enjoy their meal, while others might feel deceived or have concerns about the unknown health effects. Whether legal action is taken would depend on the specific circumstances, local laws, and the individual's personal values and beliefs.

I can understand your frustration, but it's important to stay positive and keep trying. Here are some tips that may help in fostering dialogue and attracting researchers to share their ideas:

Be clear and concise in your message: Make sure to clearly communicate the purpose and benefits of your magazine in a concise manner. Researchers receive a lot of emails, so it's important to make your message stand out and get straight to the point.

Highlight the quality and legitimacy of your publication: emphasize the quality of your magazine, citing examples of high-quality papers that have been published. Researchers want to know that their work will be given the appropriate attention and credence.

Show appreciation for their work: Demonstrate that you value their work and contributions, and show interest in their research areas. Reach out to them in a personal manner and let them know their work is valued.

Use different channels: In addition to email, consider using social media, academic networks, and other media to engage with researchers. These platforms can help to reach a broader audience and increase the visibility of your magazine.

Collaborate with other organizations: Consider partnering with other organizations to collaborate on publishing and promoting high-quality research. By working with other organizations, it may be easier to bring in researchers and gain greater credibility.

Remember, fostering meaningful dialogue and collaborating with researchers takes time and effort, but it's possible. Hang in there, and keep pushing forward!

This is a marketing decision.

What kind of image do you want to project?

If you want to be seen to be exclusive, then premium pricing (high price) is the answer. Ferrari does this well, their cars cost £1 million, this does not reflect the cost of building the car, but the value added to the brand.

If not Skimming pricing, start with a high price to launch to create an image of high quality, then reduce slowly to mass market. The phone companies (Apple, Samsung) do that. I phone 13 is $1500, Iphone 12 $ 1200, I phone 11 $900, I phone 10 $500, etc. But they all started at $1500 at launch.

Then you have penetration pricing. You start low price, cost price sometimes to capture large part of the market and then raise the price slowly once you have loyal customers, this is Disney+ to take market from Netflix. They started at £5.99 a month, now it is £7.99 a month.

Then you have economy pricing, you sell cheaper, with reduced profit margin, hoping for high volumes of sales but then you project an image of cheap product. This is the Big Mac!

Hi any luck with Aquaguard solution or an alternative to it? I am also looking for an alternative as it is hard to find one to buy.

Cybersecurity based on signatures and patches is not a winning strategy

Cybersecurity based on signatures and patches is not a winning strategy. Signature-based detection only works when the threat actor is using known malware, which they often are not. In addition, patches are not always effective against zero-day threats. A better strategy is to use a layered approach to security, which includes monitoring and controlling network traffic, using multiple layers of defense such as firewalls, antivirus software, and intrusion detection systems, and educating users on safe computing practices

It's as easy as it can be on Spss. First you have to enter your quantitative data into Spss. Identify your variables in the variables view. In the data view, you transform the measures of your Marketing strategies into composite variables. Also transform your sales variable into a composite variable.

Then, click on analyze >>regression >> linear. Drag your independent variables (marketing strategies) into the independent variables box. Drag your dependent variable (sales) into the dependent variable box. Then click okay.

Your multiple regression output will come out showing the relationship between your variables as well as the effects of each of your marketing strategies on the dependent variable - - sales.

You can send me a direct message here for more clarity. I might have not been so detailed in this answer.

still, the points I made are valid but, of course, you can also vent the chamber with air - normally nitrogen is used because it doesn't react and nearly every lab has a nitrogen gas supply. If you use bottled gas, also no dust and dirt is sucked into the chamber.

There are two types of items. One is high price elastic and other one low price elastic and essential commodities are third group. hence change in demand will depend on this type and coefficient of relationship. In launch of new product price fixation is a major exercise done prelaunch by surveys of consumers and studying alternative products. For example price of liquor specially premium brands wont much affect demand. Same way drugs wont be affected by price change. yes but in drugs consumers can shift form branded medicines to generic medicines supplied at much lesser price. Price change will affect only discretionary and non essential purchases. If consumer can do without product elasticity will be high . Mostly in ral world economics theories don't work since there is no perfect competition and there is always price leader in that field or cartels. hence prices are increased together by all suppliers, If the inflation raises the earnings of citizens at the same time demand is hardly affected. It is complex subject and often dealt with by excerpt agencies. The sales managers keep doing trials and collect opinions and data form consumers and dealers about demand estimate at a given price band. I am using price band not price point. Since in certain range consumer wont discern . Alternative product example is airlines. You cant raise fairs significantly since people will shift to car travel by road or railroad. In fact airlines globally have been making losses as they were heavily taxed, salaries and operations cost were high but consumer wont pay more as they have alterative cheaper transport. Some allege that airlines are deliberately put in loss to subsidize rich and bureaucrat class at cost of poor tax payers by refinancing losses by governments. After all glamour costs money which passengers really don't need. In short in premium voluntary use products price change wont change demand. In others it will depending on elasticity and market liquidity

Good packaging is a very important element in product marketing

We can provide

It is not strictly required to recode the Likert scale values to numerical values (-2 to 2) before applying regression, but it can be useful in some cases. For example, if you want to use a linear regression model, it may be more appropriate to use numerical values rather than ordinal categories. The interpretation of the results will also be different. When using ordinal categories, the coefficients represent the change in the dependent variable associated with a one-unit change in the independent variable, whereas when using numerical values, the coefficients represent the change in the dependent variable associated with a one-unit change in the independent variable.

The table you provided shows the results of a linear regression analysis where ease of use is the independent variable and channel selection is the dependent variable. The dependent variable is modeled as a linear function of the independent variable, with an intercept and a coefficient for each level of the independent variable.

The intercept (0.37931) is the expected value of the dependent variable when all independent variables are equal to zero.

The coefficients for EaseLow priority, EaseModerate priority, EaseNeutral, and EaseSomewhat a priority represent the change in the dependent variable associated with a one-unit change in the independent variable, holding all other independent variables constant.

The t-value represents the ratio of the coefficient to its standard error. The larger the t-value, the more significant the coefficient. The p-value is used to determine the significance of the t-value. A small p-value (typically less than 0.05) indicates that the coefficient is significantly different from zero and that the independent variable has a significant effect on the dependent variable.

In this case, all independent variables have a positive coefficient and a p-value less than 0.05, which suggests that ease of use is positively associated with channel selection. Additionally, the coefficients for EaseLow priority and EaseModerate priority are larger than the others, which suggests that these levels of ease of use have a stronger positive effect on channel selection than the other levels.

Okay, Thanks a lot Yogesh Singh for answering.

Customer lifetime value (CLV) is a prediction of the net profit attributed to the entire future relationship with a customer. The CLV can be affected by a variety of factors, including:

Overall, companies can increase CLV by focusing on customer retention, offering a wide range of products and services, building a strong brand reputation, providing positive customer experiences, and implementing effective marketing and pricing strategies.

I attach the video related to the redirect motion.

Unless schematic flow diagram with valves and instruments is available definite comments cant be made .You can send me to :cityju@rediffmail.com

There is no problem because the variable you use (log of exports/sales ratio) has negative values.

The underlying relation that you are going to estimate export/sales = exp(Xb) holds equally

Can you exactly mention what kind of data you are looking for?

Shafagat Mahmudova , what am looking for mail conversations among B2B sales, not as a email list . Thanks for this

From my experience, I would not use a linear predictor for elasticity. I know your question is asking about mathematically correct solutions but I don't think that's your issue. I would probably use logistic regression as a first choice.

Hi Ismael,

just don't screw the cap on tightly

good luck

This may be a good start:

See the attached reference. Best wishes David Booth

You can refer inderscience journals related to marketing domain

A transfer of clear title in favour of the buyer of an immovable property also requires that the buyer should be a bonafide purchaser. That is he took all the diligence available to ascertain that the immovable property in question has a clear title vested in the vendor. Thus, the caveat emptor also determines the bonafide of the buyer and saves his legal rights and financial interests against others including the vendor or the third party.

Dear Jevohna England,

The relationship between the IV and DV should be termed as "the effect of a variable (IV) on the other variable (DV)". In this context, your IVs are Temperature, Distribution and Price and the DV is Sales Volume. Accordingly, the relationship between the IVs and DV can be termed as "The Effect of Temperature, Distribution and Price (IVs) on the Sales Volume (DV)" as indicated above by Piyush Sharma.

Hence, you have to initially (first) run the correlation analysis to confirm the significant relationship between the variables. If the correlation between an IV and DV can confirm the effects of IV on DV and between IVs can confirm the existence of a level of multicollinearity. Once you confirmed all these, then it is appropriate to run the Multivariate Regression as indicated above by Marcelo Linardi.

Hope this will help you. If you have a question, feel free to communicate.

Good luck with your progress.

Regards,

S. Senthilnathan.

More links;

Below article looked at M&A in the sharing economy:

Check...

Yes, you can add both firm-specific and industry-specific variables and regress them together. However, in terms of explanation, you need to be very specific. It is suggested that you create different panels of your results and then proceed with the explanation.

Kindly check

What's this

Dear David, I surely read your answer, but maybe I was not clear. I was supporting your statement that count variables are typically not suitable for OLS regression and hence not for PROCESS. And my second part referrered to that even if the dependent variables were unbounded, metric etc, i.e. ok for OLS regression, PROCESS would not be able to handle the (structural) model that the OP was asking for. PROCESS cannot handle several IVs and several DVs. It is only possible to specify one IV, one DV, two moderators, several mediators and covariables. If you meant this, I think this was not clear and your attachment do not directly refer to this topic.

Best, Rainer

Bloomberg's

I guess we teach our students to check both (Mean and SD) as we can have the same mean with different SDs. Which means that the SD calculations are not integrated into the Chi Square value, but can have both... I guess

I think there are two key articles to analyze and identify the best Chinese public companies. I share them with you. Kind regards.

Try the Avansce Synchronicity. It works with an app and gives 'scores' for rider or coaching use, but you can also extract the raw data for research purposes, and it records at 100Hz.

Interesting points.