AI-Driven Demand Forecasting for Retail

ChainPredict implemented an AI-driven demand forecasting model for a national retail chain. Using historical sales data, market trends, and external factors like weather, the AI predicted demand with 90% accuracy. This reduced overstock by 30% and stockouts by 25%, saving $5 million annually. The system integrated with the retailer’s ERP system, though initial data quality issues were resolved through automated data cleaning. The solution also provided real-time inventory insights, enhancing decision-making.