Part 10/11:

This AI-driven approach exemplifies the potential for manufacturers and supply chain stakeholders to collaboratively address longstanding retail challenges. As the systems are refined and scaled, they promise to deliver even greater efficiency, revenue growth, and customer satisfaction in the rapidly evolving retail landscape.

Questions & Answers Highlights

• Model Rebuilding Frequency: Forecasting models are typically retrained weekly, with some classification models updated more frequently, leveraging recent data to stay aligned with market dynamics.

• Improvement in Alert Accuracy: From an initial 10%, accuracy has increased to about 55% through iterative model tuning, better data quality, and feedback incorporation.