From Mathematical Hallucination To Physical Truth

Resource Introduction

AI-driven inventory planning can produce misleading recommendations when the data misses how products are sold, manufactured, and delivered.

In this session, Jason Sheng, Head of Digital Innovation & AI at Aland Group, shares lessons from the IVC Intelligent Supply Chain Hub. Through three cases involving missing consumption data, distorted demand classifications, and excessive minimum order quantities, he explains how business challenges helped uncover weaknesses in the planning logic.

The presentation introduces an approach that combines finished-goods demand with manufacturing constraints to calculate safety stock and reorder points for execution through Oracle ERP and MRP. It also explores why complete data, lifecycle-aware calculations, and customer commitments matter, and how a governed data foundation supports the next stage of supply chain AI.