Part 9/11:

Given the rapid changes in retail and the emergence of quick commerce (e.g., 5-minute delivery platforms), the AI system adapts swiftly, addressing new forms of shelf-related challenges.

Conclusion: The Power of Data-Driven Inventory Optimization

Sunil, the presenter, emphasized that while exact precision in forecasts is valuable, the overarching goal remains ensuring products are available when customers want to buy them. Through a combination of sophisticated machine learning, careful data management, and continuous feedback, Kinu is making substantial progress in minimizing lost sales and inventory discrepancies across numerous retail outlets.