Retail Demand and Inventory Optimization

This application area focuses on using data-driven forecasting and optimization to continuously align retail inventory, locations, and related supply chain decisions with true customer demand. It integrates demand forecasting, inventory planning, allocation, and replenishment so retailers can decide what to buy, how much to stock, where to place it across stores, DCs, and channels, and when to move or mark it down. The same capabilities are tuned for specific contexts like holidays and perishables, where volatility and spoilage risk are high. It matters because traditional planning tools and spreadsheet-based processes cannot keep up with volatile demand, omnichannel complexity, and rising logistics and labour costs. By leveraging advanced forecasting models and prescriptive optimization, retailers can cut stockouts and overstock, reduce waste and markdowns, improve service levels, and better utilize working capital. This directly impacts revenue, margins, and customer satisfaction, especially in peak periods and fast-moving or perishable product categories.