Author: Satish Garla

Updated Case Study Background: Forecasting Sales using dotData's Feature Engineering Platform Kaggle, the world's largest data science community, and the University of Nicosia conducted a global competition to forecast the sales of thousands of products sold by Walmart, the world’s largest retailer. The competition involved over 5500 teams from all over the world, during a period of 4 months. The objective was to forecast daily unit sales for over 3000 unique products across 10 Walmart locations in 3 US states. The available data included item-level, department, product categories, calendar, selling price, and store details.  The dotData team leveraged our Enterprise AI Automation platform for M5 data analysis and delivered outstanding results - ranking in the top 1.8% (#102 out of 5,500+ teams). The process required less than one hour of manual effort from a single person and almost zero data preprocessing. The purpose of this blog is to demonstrate how…