Daniel Palmer 1 posts 0 comments

Daniel's first job out of college was to create a sales projection model for Little Caesars that used Real-time in-store data and it saved Little Caesars 1.5% of gross revenue by dramatically decrease inventory waste. Daniel further went on to create an algorithm that classified employees as potential thieves, which found $4MM in employee theft. In 2015, Daniel joined The Coca-Cola Company, where he created a tool that incorporated the Walmart Buyer's strategy, ML-based store specific predictions, and store specific constraints to generate a unique assortment for each US Walmart location, this resulted in almost $100MM/year in new sales for Walmart. Daniel is currently leading the development of next generation of category management tools working at HIVERY. An AI company. The tools will empower retailers and FMCG/CPG companies to better understand what the shoppers want and how to optimize their 4 Ps; Product, Placement, Price, and Promotion.