The "peanut butter problem" occurs when a customer orders a specific kind a peanut butter to be delivered in a grocery order, but the picker fulfilling the order sees that it’s not on the shelf. Which of the fifty other kinds of peanut butter should the picker select instead?
This whitepaper lays out a framework for substituting out of stock items from the perspective of a retail store or order fulfillment platform.
The traditional retail industry, as a whole, has faced a number of obstacles over the past 10 to 20 years. Whether it’s the great recession of 2009, the advent of online shopping or recovering from a worldwide health crisis, established retailers have seen a myriad of challenges. While the economy appears to be on an upward trajectory and consumers are buying more online, it’s not simply recessions and online shopping that have impacted retail.
Moving top-brand consumer goods products off store shelves is the chief priority for a North American retail marketing giant. The marketer recently decided to expand the vast analytics capabilities it already offered to the manufacturers it partners with. It collaborated with BlueGranite to design and implement an advanced Azure solution that features even deeper proprietary analytics offerings, and largely automates a once onerous report building process.
Keeping up with constantly evolving buyer tastes is key to success in the Consumer Packaged Goods (CPG) arena. A century of successful innovation has kept one global food and beverage distributor at the top of its industry. One of its newest North American product lineups, sold in almost 80,000 U.S. retail outlets, capitalizes on the protein-centric and sustainability trends dominating today’s food and beverage industry.
A common data source among retailers are online reviews from ecommerce sites - what buyers have been saying about their products after a purchase. This example scenario includes users who make a purchase from ABC Apparel are asked whether they recommend the product, how they would rate the product on a scale of 1 to 5, and to review the product in a free text form.
This Power BI example report was made to analyze this information. It contains a summary of reviews, ratings, and recommendations sliced by the most important categories for ABC Apparel. In addition, we can also see ratings distributions for the most important categories, and we can drill down to see the individual reviews. ABC might be having a problem with repeat customers, so they are turning to reviews to see if it exposes any product issues. Or they might just be doing a brand health check and want to be sure that there are mostly positive reviews left on their website.
Explore insightful blog posts from the BlueGranite team covering Retail Analytics, Microsoft Azure, artificial intelligence, and more.