Questions related to Sales
True or false: a vendor is better at sales if that seller can make more money for selling less value? Why or why not?
Aim of the study
To analyse the impact of social media marketing on sales and promotion of hotels.
The buying and selling of credits that permit a company or a country to emit a certain amount of carbon dioxide or other green houses. The carbon trading is done with a goal of gradually reducing overall carbon emissions and mitigating their contribution to climate change. Carbon trade agreement allow for the sale of carbon credits in order to reduce the total emissions.
In a social market economy, is the concentration of capital and monopolization of markets through the development of large corporations a manifestation of the imperfection of realistically existing markets?
In a social market economy, is the concentration of capital and monopolization of markets through the development of large multinational corporations that take over most of the markets for the sale of their product or service offerings the result of objectively operating processes of a highly liberalized system that allows the market mechanism to operate, or is it rather a manifestation of the imperfection of realistically existing markets?
The basis for this question is the changing relationship in many countries over the past few decades between the numerous economic entities that make up the SME sector and the few large corporations that increasingly monopolize markets and displace the many smaller companies and enterprises that make up the SME sector.
And what is your opinion on this topic?
I invite everyone to join the discussion,
Thank you very much,
According to CNN, the United States of America has approved the commercial sale of lab grown meat. The idea is plausible but ethically, is it right to consume such meat?
As an individual, will you feel offended if you are served cultivated or lab grown meat (uninformed or unknowingly) in an eatery that you use to patronize before?
What will be your reaction?
To sue them, I presume.......hahahaha!!! Or you will just sit back & enjoy your meal?
Your reactions can help enlighten the public and the government too, with regards to what they should & shouldn't approve.
I need to vent my frustration! As the editor of a powerful and cost-free magazine for readers, I've been trying to bring researchers from other countries to share their ideas with us. Our magazine is a potent platform interested in circulating ideas from around the world within the Brazilian environment, and the best part is that we don't charge anything for its circulation. Unfortunately, many seem to ignore my messages, possibly due to those damn predatory journals out there, spamming our email inboxes without any quality criteria. It's incredibly frustrating. We need to value legitimate publications and promote quality academic dialogue. Any tips for fostering dialogue?
J'ai besoin de me confier sur ma frustration ! En tant que rédactrice en chef d'un puissant magazine gratuit pour les lecteurs, j'essaie d'amener des chercheurs d'autres pays à partager leurs idées avec nous. Notre magazine est une plateforme puissante intéressée par la circulation d'idées du monde entier dans l'environnement brésilien, et le meilleur dans tout cela, c'est que nous ne facturons rien pour sa diffusion. Malheureusement, beaucoup semblent ignorer mes messages, probablement à cause de ces maudites revues prédatrices qui pullulent, envoyant des messages dans nos boîtes e-mails sans aucun critère de qualité. Cela me rend très frustrée. Nous devons valoriser les publications légitimes et promouvoir un dialogue académique de qualité. Auriez-vous des conseils pour favoriser les échanges ?
- Step 1 - Cost Analysis: Understand the total cost of production for each item. This includes direct costs like materials and labor, and indirect costs like overheads. This will form the baseline for your pricing strategy.
- Step 2 - Value-Based Pricing: Determine the perceived value of your product to the customer. This can be done through market research, customer feedback, and analyzing the prices of similar products in the market. The price should reflect the value that customers are willing to pay for the benefits they receive from the product.
- Step 3 - Competitive Pricing: Analyze the pricing strategies of your competitors. While Schenck's products may be unique, understanding the pricing landscape in your industry can provide valuable insights. If your prices are significantly higher than similar products in the market, customers may perceive your product as overpriced, even if the value and quality are higher.
- Step 4 - Dynamic Pricing: Consider implementing dynamic pricing based on demand and market conditions. For example, you could increase prices during periods of high demand or offer discounts during slower periods to stimulate sales. This requires a good understanding of your market and regular review of your pricing strategy.
- Step 5 - Price Testing: Test your new pricing strategy on a small segment of your market to see how it performs. Monitor sales, customer feedback, and profitability to assess the impact of your new pricing strategy.
- Step 6 - Review and Adjust: Regularly review your pricing strategy and make adjustments as necessary. Market conditions, cost structures, and customer preferences can change over time, so your pricing strategy should be flexible enough to adapt to these changes.
Remember, the goal of your pricing strategy should be to maximize profitability while providing value to your customers. It's a delicate balance and may require some trial and error to get right.
We are looking for diatom cultures (Achnanthidium delmontii, Achnanthidium druartii, Achnanthidium rivulare, Actinocyclus normanii) either for sale or for cooperation. Is there anyone who deals with these kinds of diatom strains or can you recommend someone?
The sale of the above solution for the treatment and prevention of contamination of water baths within CO2 incubators is not permitted in Europe anymore.
Currently the cybersecurity is reactive. It reacts to the presence of certain signatures in the operating system, applications, middleware, protocols, frameworks and networks. When these signatures are detected, the appropriate patches are applied to plug the vulnerabilities represented by the signatures.
In this reactive approach, the initiative remains with the attacker. The defense is reactive to what the attacker does. And there is always a time lag between the initiative by the attacker and the construction of the corresponding signatures.
This is not a winning strategy.
Cybersecurity has taken many directions, trends, and new ideas. But this scenario has not changed, the strategy remain a strategy that is not a winning strategy.
In human based decision making, the law enforcement preempts the offender, and arrests the offender before the offence has taken place.
In cybersecurity, we need such a strategy. This would preempt the attacker. It would stop the attack before it begins.
Choudhary Associates in Bowie, MD, have a product that can accomplish this. That constitutes a winning strategy. The details and operations are proprietary. They cannot be disclosed. But the product can be demonstrated in operational scenarios.
Who do you think is a potential customer? How do you think the product can be marketed (currently there is no sales and marketing budget).
Would you be willing to invest in further development, marketing and sales? Who would be interested? Who could be a financier?
I have data on sales and various marketing efforts, such as advertising spend, social media engagement, and promotional activities. How can I use regression to quantify the effectiveness of these marketing strategies on sales?
Why do we vent the chamber with N2, because anyways it is going to be in the atmosphere while transferring the sample?
Price-elasticity models do not fit here (since they need previous/historic data with price changes to 'learn' the effect). We have sales-data for different items (with no price-changes till now). Business owners are thinking of changing the prices for the first time, and would like to estimate the customer reaction. (Customers are not tracked, anonymous and opportunistic).
There are no restrictions on the methods used as long as the problem can be solved or Suggestions are made. thanks
My lab is interested in buying ovariectomized rats/rabbits/guinea pigs for one of our studies. Are there any prominent companies specializing in the sale of animal models that are also able to provide ovariectomized animal models? Also, if any of you have previously worked with ovariectomized animals, have you performed the ovariectomies yourself or outsourced it to the animal model companies?
I'm analyzing survey data for my thesis. My dependent variable is sales channel selection and independent variable is channel attribute such as time, ease of use, price etc. How do I analyze if there is a correlation between one of the attributes ease of use on channel selection?
Will normal linear regression work? How will it interpret the likert scale?
Or is there any other method to do so?
Is it okay to use air compressor to operate Pneumatic valve and vent the chamber instead of using nitrogen cylinder or generator.
And how long will it take to achieve 10-6 T as with N2 cylinder it can be achieved almost within 2-3 hours.
I am a PhD student specializing in marketing, in the process of conducting a study on the factors affecting the customer’s lifetime value. I am asking for assistance in obtaining a company sales database, provided that it has various data that allow calculating the customer’s lifetime value and the influencing factors such as relationship duration, type of product, Prices, discounts...
looking for some cluster analysis about millennials and early Gen Z in the USA.
What is the proportion of e.g. hedonists, traditional consumers, or ecologists?
Good day everyone,
I am Cecilia, I recently published an article PrognHathism and Skeletal Class II - Definition from Dental Council of Hong Kong, it mainly gave the definition of Prognathism which means one or both both is protruded, it can be upper (maxillary) or lower (mandibular) protrusion and discuss a paragraph for the definition given by them. The attachment is in pdf, it shows the screenshots.
I can send the video for the redirect method.
Just after the publication, someone uploaded the paper to some malicious website.
The real official one are
In researchgate and Linkedin
I have the full right and I did not authorize anyone to upload to these malicious website.
1. . If I search Prognathism, Dental Council of Hong Kong, it shows the above official website and the document but also some malicious website or redirect..
2. the malicious websites are
3. They either said that your computer is infected (may be true) or redirect to Amazon for the Samsung sales, Amazon and Samsung sales may also be the victims, we need to investigate.
I reported to the USA phishing since the publisher is in the USA. Please help to report the case and assist us. Anyone can be a victim if we do not stop it as soon as possible, anyone can upload any information to malicious website by the similar method.
Thank you very much.
In one of our compressor ( LP casing), NDE side dry gas seal is suddenly showing zero pressure and flow from primary vent side (which is normally 0.3 kg/cm2 & 8.5 Nm3/Hr) and secondary seal gas N2 supply pressure is increased to 3.71 kg/cm2( same as header pressure) from normal 0.5 kg/cm2 and flow meter is showing no flow condition. When we opened primary vent line at 1st flange of casing, it is showing slight primary vent flow which is not measeured by PI.
There is no HC presence in seconday vent also.
Didi anyone faced similar problem? What are the possible causes and remedial measures ?
I would like to estimate a model in STATA, in which I have a variable called Export Intensity (Exports/Total Sales). As the measurement units are different, I prefer to use natural log of all the variables. Export intensity is in ratio (Decimal numbers) format, taking its ln gives negative numbers. Does it create problem if I use it in the estimation?
To avoid the problem of giving negative numbers, I can multiply the whole series with any multiple number (x100, x1000...), and then take ln, which will then give me positive numbers. Is it a right way to do so and use this new series in the estimation of the models? Thank you.
Hello everyone. Please I need a dataset for a project. It's about predicting sales volume and revenue for a retail business. Please I will be grateful if anyone can share a dataset on this.
scooping through the static socio-cultural typology clusters, I would like to learn more about the rigidity between the clusters in an intertemporal context.
How big is the difference between Continental Europe and the USA?
How likely is it that a traditional consumer morphs into an ecologist for example?
Cherish your feedback.
would like to learn more about the socio-cultural clusters of Vegans and Vegetarians in Western Societies.
A breakdown of motivations e.g. climate, ethics, health, etc. would be great. Has it got the potential to go mainstream, given the anthropogenic idiosyncrasies in Western Culture and Rituals?
Cherish your feedback.
looking for the most recent independent research about the Socio-Cultural Typology Clusters in the United States with clusters such as Postmodernists, Hedonists, Traditional Consumers, Ecologists, etc. with an analysis of their ability/willingness to adapt to changing circumstances.
As the coasts are very different from the center it would be awesome to study two or more areas.
Cherish your feedback.
I'm currently working on a Data Science project for optimizing the prices of the products one of the biggest supermarket chains in Mexico.
One of the things that we are working on, is finding the price elasticity of demand of such products. What we usually do, is that, apart from fitting an XGBoost model for predicting sales, we fit a linear regression, and we get the elasticity from the coefficient corresponding to the price (the slope).
However, it is abvious that linear regression is sometimes a poor fit for the data, not to mention that the execution times are way longer since it requires to run separately XGBoost and LR (which is not good considering that there are thousands of products to model).
Because of this, it ocurred to me that we could use numerical differentiation for finding the price elasticity. At last, calculating a numerical derivative is way faster than fitting another model.
However, I'm not sure if this is mathematically correct, since the data does not come from a function.
So the question would be, is this mathematically correct? Does it make sense?
I was trying to perform an assay, and I thought it could be interesting to have some type of vessel such as an Eppendorf of 1.5 mL with a ventilated cover but I can't find it to buy.
Thank you very much,
I wish to conduct analysis using secondary data using SMART PLS 3.0. How do we do this ? Request for some sample papers using this method.
We would really appriciate some help building regression model(s) using a paneldata set. The dataset consists of data from retailstores over two years. Our research question are as follows: How does different payment methods affect retailstores unregistered shrinkage?
As a result we want to see which payment method that gives the highest increase in shrinkage, and compare the payment methods.
We have tried to use these following models, but the results does not make sense. y = x1 + x2 + x3 + u
- Shrinkage = sale self-service checkout + revenue + region + u
- Shrinkage = sale ShopExpress + revenue + region + u
- Shrinkage = sale served checkout + revenue + region + u
We want to control for the stores size and region, which is why these variables are included. Also all stores in the dataset have served checkouts, and some have self-service and ShopExpress (Scan and go). We are therefore not able to use dummys for the payment methods?
We have also tried with this model, but also gets weird results:
4. Shrinkage = dummy served checkout + dummy self-service + dummy ShopExpress + revenue + region
- Is there a better way to create the regression models? Is it possible to gather them into one model?
- Do you have suggestions for other control variables that we should include?
- To be able to run the random effect model, we had to transform the variables into natural logaritm form. Does it make sense to use ln?
Hi, Could you please suggest a book or genuine paper for understanding marketing /sales funnel in Digital Marketing?
More and more companies merge, creating larger groups. In the process, there is a search for focus - with the consequent sale of companies active in areas not seen as essential. At the same time, new businesses, startups, are responsible for great amount of the innovation. Many startups attract resources from large groups, which funds their growth and enables the innovative process. The question at stake is whether mergers and acquisitions are positive to the economy.
Do you discount if a consumer ask for a discount? And if so by how much? And is there a difference between customers in terms of the discount strategy?
When you answer, please support your answer by scientific papers so I can read more on the topic.
My objective is to analyze the impact of inflow of FDI on innovation. I have data on industry level FDI and innovation. However, other control variables are firm specific(like debt to equity ratio, net export, marketing expenditure, total income/total sales). My question is, can I run a panel based on such firm specific and industry specific information?
I noticed on the Internet and even on RG that many researchers escape the answer of this question, where they say it is not good or bad, but it is low and high. For low SDs, we know that the variance is small and the values are close to the mean, but for large ones, we see data dispersed around the mean.
Still, the question is how large and how low...? Still I did not get am answer?
I am looking for a total number of patents (with International Patent Classification) invented by Chinese listed companies in English and some financial information such as sales, R&D investment, leverage ratio, ROE, and so on from 2000-2020.
The Federal Inland Revenue Service (FIRS), in a letter dated 10 August 2021, addressed to the Association of Bureau De Change, confirmed that Bureau De Change (BDC) operators are not liable to charge Value Added Tax (VAT) on the sale of Foreign Exchange (Forex) with effect from 1, January 2021.
In Nigeria, BDC operators are regulated by the Central Bank of Nigeria (CBN), who determines Forex buying and selling rates. However, the income earned by BDC operators have continued to come under pressure due to the statutory commission paid to the CBN and the imposition of VAT by the FIRS, who argues that the income earned by the BDC operators are liable to VAT. Given this challenge, BDC operators and stakeholders had engaged the government to obtain VAT exemption for their operations.
Please this is open for discussion
I am doing research on sales techniques, I have been working with techniques such as consultative selling method, scientific selling, SPIN method, the challenging salesperson, SDR model, Sandler Selling System, SNAP selling, FAB technique and BYAF technique.
The applicability of these techniques will depend on the type of client (consumer or corporate client), as well as the type of vendor (account representative, visitor, technical vendor, group vendor, telephone vendor, e-commerce vendor, network vendor, among others).
What other sales techniques could you suggest for research?
Hi, does anyone know theories related to (improvement of) product information and/or product (detail) page for online retailing? It will be appreciated a lot - thanks!
I am looking for examples of interesting SMART solutions in rural areas - for instance, vending machines, direct sales, self-service shops, etc. Please send me examples - along with short descriptions and pictures - of any interesting SMART solutions you may have come across.
Hi All, I’m requested to provide an online sales forecast for an ecommerce. I have data only from Sep 2019 - Oct 2020, with seasonal sales increase in Dec, May, and Jul. I have to forecast the sales value in Nov, Dec 2020 and Jan 2021. Which method is the best for this? And should I consider the effect of COVID into the equation?
I'm looking for insights on whether to forecast online sales with or without the returned stock. And what factors we shall consider.
Could you point me in the right direction? Thank you for any help you can offer.
I am looking to model an inventory-production process as a G/G/1 queue. The problem statement is as follows:
Customer demand for any particular part is fulfilled from the inventory system. Each unit of customer demand triggers one unit for replenishment through a production process. These replenishment units are grouped together and once an optimum size of the group/batch is reached, a production order is instituted and the batch is manufactured and stored in the inventory system.
When the production order is instituted, there are already a few other orders in the factor-floor due to which the batch under consideration cannot be fulfilled immediately, but needs to wait for its turn.There is no underlying pattern in production order fulfilment, rather it happens according to an arbitrary distribution pattern with a lot of ad-hoc decision making.
I am trying to arrive at a reliable estimation of the inventory in the system, taking into account the batch size per order and the probability distribution function.
Back-orders are not important for this problem and we are not taking into account lost sales.
I need to estimate E(Inventory), which, from my understanding is coded as given in the picture attached.
I am not sure of the probability model I should adopt, as there is no underlying probability distribution on the data-set I am working on. I am also not able to find a reliable estimate of the probability for the inventory replenishment system, while there have been estimates for stochastic modeling of production systems, on the basis of the G/G/1 model, taking into account the shop-floor utilization rate ( From the book stochastic modeling of manufacturing systems- a very detailed seminal text : Buzacott, J.A. and J.G. Shanthikumar. (1993). Stochastic Models of Manufacturing Systems. Prentice-Hall )
Any leads in this regard would be useful.
Looking forward to hearing from you all !
Thanks in advance,
Hydrogen plant has a turndown ratio of 40% and after reaching this stage, extra H2 is being produced than the required. So it is being vented.
Is there any way to stop this venting and use it as a fuel somewhere like boilers by mixing it with current fuel-natural gas?
I found this policy recommendation, ''In order to avoid slum expansion, the urban land laws have to be revised and the land ownership right has to be partially transferred to individuals. Currently, illegal selling of land is rampant as the landholders afraid the government will take the land anytime, against their will. This has created illegal land grabbing, slum expansion, pollution, and loss of agricultural capacity. Therefore, legalizing land sales, controlling the process, and preparation proper land-use plans will eliminate the problem from the root. The government will also collect tax from the sale. It will also support the landholder to use their land as collateral for a construction loan for the building project. However, as land is the main source of income for the government, transferring fully might affect the financial and decision-making capacity of the government. Therefore, I recommend partially transferring the land resource to individuals. The amount of land to be owned by individuals can be regulated by law so that a fair amount of land can be distributed to citizens''.
The financial statements for Jean Co. at the year-end of 2020 contained the following information.
Sales Revenue $ 0 $ 132,000
Accounts Receivable(gross amount) 3,000 6,700
Inventories 4,000 5,000
Unearned Revenue 9,000 11,000
Assuming that Jean Co. did not write off any Accounts Receivable. Please compute the amount of cash received from customers.
(I am sorry the messy format. There is a picture can look. Thanks)
I am currently working on a company's data set in my school work. I have the monthly revenues for each of the offers and I have to answer the question : Does offer A negatively impact the sales of other Offers? I do not have much more data than this and was wondering if it was possible at all to do such a test ? Any clues ? I would be very grateful thank you !
I'm finishing an article about how the visual communication of social presence affects sales in affiliate marketing: (1) case study research, (2) in cooperation with a practitioner/affiliate/publisher, (3) explained variable = real ales value 30 days after publishing the post, (4) explaining variables = different elements that communicate the social presence in posts published in the affiliate marketer's website. I have already completed the literature review to develop research question, and the co-author/practitioner selected six cases but can't find any material for anecdotal evidence that supports the research question.
I have seen a few stories (A / B tests) about how social presence affects click-throughs rates, but I haven't seen any story about how social presence in posts affects the real value of sales
Could you recommend any success stories or quotations of practitioners about how visual communication of social presence affects real online sales value to use as anecdotal evidence in the article?
Could you share your experiences in writing scientific articles with practitioners? Have you used case study research (according to suggestions of K. Eisenhart, R. Yin?) Have you published such articles?
My research group is currently working with a 12-litre fermenter. Somehow, if we do the fermentation for more than 20 hours, the process will be more prone to contamination. Our current suspect is the air vent filter. As we live in a tropical country, the humidity is quite high (40-50% with the HVAC system). The current material of the air vent filter is PTFE. Have you ever experiencing this problem before? Thank you!
Kind colleague, teacher or researcher in the sales field, this questionnaire is aimed at collecting data on the current state of sales education in European universities. The universities partners of the SPLASH Erasmus+ (8 partners from 4 nations) project are trying to research and to contribute to the current state of sales education in Europe.
Over the years, the need for companies to hire job-ready young graduates able to face challenges of the modern market has clearly emerged. In the face of this, however, in many European countries universities offer relatively few courses and programs concerning sales, and so far there are few international studies on this subject. In fact, no overall study traces an overview of the sales education in the EU context through secondary and primary data. Thus, following similar studies undergone globally and in North America, this survey aims to ask EU scholars, researchers and professors to provide information and own perceptions on sales education subjects and methodologies, to comprehend the overall state of sales education in partner countries and in the EU context.
Therefore, we kindly ask you to help the scholars of the partner universities in the SPLASH Erasmus+ project to understand the current state of sales education, to fill this gap and help us implement concrete actions that can improve the offer of sales education in Europe. The information you share is strictly anonymous and will be collected and processed for research and educational purposes only.
Greetings! I am a Master's Student at IBA Karachi. This survey is purely for research purpose and its objective is to gather information about performance variables and constraints that emerge with it. Your responses will be treated with utmost confidentiality. Thank you in advance for your time and cooperation.
Please fill the form below for ''Manufacturing planning & Performance Alignment''.
I would be grateful!
I would like to share a GC troubleshooting journey with you all in case it may help some other non-expert GC-MS users or maybe some well-experienced scientists as well. Because I have failed hard with this like an amateur :).
Among other unwanted ions, ion 73m/z (accompanied with ions 147, 207, 221 and so) which corresponds to the one and only Dimethylpolysiloxane, one of the most popular ones since -as you well know- it is the main component of most septums and methyl silica columns. When I first encountered bleeding signals (belongs to 73, our protagonist) in my chromatograms I knew what it was, because I had worked with the column quite a long time and it is expected from them to be degraded by time. On the other hand, I had always been careful with the conditions, and that had to be helped with the life-cycle of the column. Nevertheless, as expected, I changed the column and let it be conditioned over the night. When I continued to work with the instrument the other day, yes, the same peaks with the same ions occurred in my chromatogram once again.
If you are not familiar with the issue entirely let me clarify it; this re-occurring is quite overwhelming because you might have just ruined your brand new column too because bleeding signals may also occur with the help of a leakage. Oxygen and humidity coming from the atmosphere and/or from a low-quality carrier gas can also break the integrity of the stationary phase of your capillary column. So I checked all the possible leaking points with the help of a hand-held device but I couldn’t find any. The problem is with these type of high-end instruments, they consist of hundreds of pieces and there are so much to consider. Most of the time the end-user doesn’t bother at all and gives a call to the instrument’s support unit. Well, obviously, this doesn’t apply to me.
Then, the septums I have were actually quite old and it was possible that they started to decay. I replaced them with the new ones and started the instrument all over again. Still the same problem, our hero; Dimethylpolysiloxane. The liner was new and was replaced not long time ago. I cleaned it anyway and I pump the MS again and; Dimethylpolysiloxane. You can understand that almost every single time I had to vent and re-pump the instrument and it is a very time-consuming process, therefore, exhausting both physically and mentally. Though there were tiny little pieces of the septum in the glass wool of the liner which can be considered as a usual phenomenon because the needle can pluck some pieces from the septum of your vial and/or injection port if it is old and lost its sharpness. In this case glass wool steps in and detain these type of impurities to protect the column.
Then I thought; what if something wrong with that detaining mechanism? So I replaced the liner since it is hard to re-load the wool and, for me, was unnecessary. So I pump down the instrument again and once again; 73 and the other musketeers (Dimethylpolysiloxane).
Everything, almost everything was replaced and checked repeatedly, even the Helium was replaced with ultra-pure one, but the problem was still there. There was no other spare column so I was stuck with the contaminated/bleeding ones. Then an idea came to my mind and I vent the MS and remove the column and started to investigate the inlet part with a magnifier. Yes, there were tiny little rascals, lying inside of the column. They were septum pieces and they came to this far passing through the wool filter, vaporizing after 200 C in the oven and causing annoying repetitive signals. I simply bought a new column since even removing these particles can not be enough to get rid of ghost ions.
In the times after the commencement of the pandemic,, I have experienced push sales in all types of markets. Distribution system of products have been disturbed. Inflation rate is higher. Footfalls of customers have been reduced. What are your experiences? Scientists and researchers from around the world are being requested to take part in this discussion.
I have a back data trend for snacks product shipment towards end consumer sales out, and I need to define the time lag between releasing the shipment & product sales to the end consumer
The attached excel file includes the data, please help me at this issue using Excel.
Thanks in advane
Based on an analysis of the last six months' sales, your boss notices that sales of beef products are declining in your chain's restaurants. As beef sales have declined due to several newspaper stories reporting E. coli contamination discovered at area grocery stores, he suggests a survey of area restaurants to see if the situation is pervasive. What do you think of this research suggestion? How, if at all, could you improve on your boss's formulation of the research problem?
Hello, i have a topic that i'm really lost:
Influence of a company's (sales) growth RATE on the investment RATIO (in assets) and the profit in the FINANCIAL STATEMENTS - an empirical analysis of annual financial statements (Bachelor) or a model analysis.
I have read many researches which used regression analysis to describe the relationship between sales growth and profit, or assets growth and profit. But my research question is, how many x% should we invest in assets, when we want to have y % in sales growth, and how does the results of y% sales growth present in profit that we can see in the financial statements. Could you guys please recommend me some papers or researches which related to my question and which keywords should i use to find them.
Is model analysis a research method? Can i apply it to solve my question?
Thank you for your help!!!
I have a sales forecasting problem where I only have three months of year 2018 ( Jan, fev, march) and three months of year 2019 (oct, nov,dec) and I have to forecast the sales for all the months of 2020 (these are the only data the customer had provided to me, I cant have more). I am new with the forecasting problems and what I can conclude from these data that it is time series data but it's so limited and the gap between the two years is about 18 months so handling missing data won't be a solution for this. I have been so stack can anyone help me please. Can you suggest me what to do ?
Hey researchers! I am investigating in the field of context-aware recommender systems (CARS). Based on the title of the question, I am needed to model a (CARS) which is to automate the jobs of call agents to know when to propose and what item to recommend to customers a based on the intent and emotions (mined from dialogues) of the customer.
Do you guys know if there are any standard which have already been set on how non-content specific context (e.g., time, location, call length etc.) and the user profile (e.g., agent background and previous interactions) can be model to predict what and when a user needs the recommendation ? All I found is mostly related to user x item recommendations but not any as far on the relations of intent and emotions x user to suggest recommendations.
Hope the question is clear.
I am looking for examples of smart solutions when selling agricultural products.
I think about short distribution channels.
Do you know any examples?