Property of Fluctuations of Sales Quantities by Product Category in Convenience Stores
نویسندگان
چکیده
The ability to ascertain the extent of product sale fluctuations for each store and locality is indispensable to inventory management. This study analyzed POS data from 158 convenience stores in Kawasaki City, Kanagawa Prefecture, Japan and found a power scaling law between the mean and standard deviation of product sales quantities for several product categories. For the statistical domains of low sales quantities, the power index was 1/2; for large sales quantities, the power index was 1, so called Taylor's law holds. The value of sales quantities with changing power indixes differed according to product category. We derived a Poissonian compound distribution model taking into account fluctuations in customer numbers to show that the scaling law could be explained theoretically for most of items. We also examined why the scaling law did not hold in some exceptional cases.
منابع مشابه
E-Cigarette Market Trends in Traditional U.S. Retail Channels, 2012-2013.
INTRODUCTION E-cigarette sales continue to increase in the United States. To date, little surveillance research has documented the specific product attributes driving growth. This study uses national market scanner data to describe sales trends in traditional U.S. tobacco retail channels between 2012 and 2013 and identifies product features associated with sales increases. METHODS Data on e-c...
متن کاملA Theoretical Model for Testing New Product Sales Velocity at Small Format Retail Stores
The present study proposes a theoretical model to test sales velocity for new products introduced in small format retail stores. The model is designed to distinguish fast moving products within a relatively short period. Under the proposed model, the sales of a newly introduced product are monitored for a prespecified period T , e.g., one week, and if the number of items sold over T is equal to...
متن کاملInventory Management of a Fast-Fashion Retail Network
Working in collaboration with Spain-based retailer Zara, we address the problem of distributing over time a limited amount of inventory across all the stores in a fast-fashion retail network. Challenges specific to that environment include very short product life-cycles, and store policies whereby a reference is removed from display whenever one of its key sizes stocks out. We first formulate a...
متن کاملA Comparative Study on the Forecast of Fresh Food Sales Using Logistic Regression, Moving Average and Bpnn Methods
Different prediction methods give different performance predictions when used for daily fresh food sales forecasting. Logistic Regression (LR) is a good choice for binary data, the Moving Average (MA) method is good for simple prediction, while the Back-Propagation Neural Network (BPNN) method is good for long term data. In this study we develop and compare the performance of three sales foreca...
متن کاملIntegrating Tobacco Control and Obesity Prevention Initiatives at Retail Outlets
Tobacco products are sold in approximately 375,000 US retail outlets, including convenience stores and pharmacies, which often sell energy-dense, low-nutrient foods and beverages. The Food and Drug Administration's (FDA's) increased authority over tobacco product sales and marketing, combined with declining smoking rates, provides an opportunity to transition tobacco retailers toward healthier ...
متن کامل