Question: Is there a tool that uses machine learning to improve forecasting and inventory management in retail and manufacturing operations?

First, RELEX is a unified supply chain and retail planning platform that employs advanced AI and machine-learning methods to improve forecasting and inventory management. It offers real-time visibility and collaboration across all levels, helping companies lower costs, improve responsiveness to market changes, and boost sales. RELEX works with multiple types of customers, including manufacturers, distributors and retailers, and has been successful for customers like Lowe's and Rossmann in optimizing retail and manufacturing operations.

Another contender is Antuit, an AI-based demand forecasting and omnichannel inventory optimization platform. Antuit helps companies make inventory decisions based on data by applying advanced AI to forecast demand and execute inventory decisions across channels. Among its features are direct-store-delivery predictive ordering, intelligent order promising, and omnichannel allocation with size optimization. The platform has been shown to improve inventory efficiency, reduce stock-outs and increase revenue growth.

For a more narrow focus on profit margins, Profitect offers a prescriptive analytics platform that uses machine learning to automatically analyze vast amounts of data and offer real-time recommendations. Profitect helps retailers and CPG companies optimize operations by finding areas like inventory accuracy, sales and waste, leading to major improvements in sales, margin and labor efficiency.