Packaging Company Case Study: Building a Data Driven Demand Forecasting Solution

In an era where agility and accuracy are vital for supply chain resilience, this case study highlights the transformation of a global packaging manufacturer’s demand planning process—from fragmented, manual forecasting methods to a centralized, data-driven and machine learning approach. Faced with inconsistent ac‑ curacy, reactive planning, and excess inventory, the company implemented a scalable solution that integrated key data sources and introduced more consistent, forward-looking forecasts. The transformation improved forecast accuracy, streamlined planning cycles, and enabled better alignment across sales, operations, and finance. As a result, the organization strengthened its ability to anticipate demand, reduce costs, and support future growth with greater ...