Optimizing Material Procurement Based on Order Demand

A global industrial manufacturer was drowning in disconnected data. ERP systems, supplier portals, IoT sensors, and production software all captured critical information about raw materials, but none of it worked together.

Production delays became routine. Inventory piled up in some areas and ran dangerously low in others. Leadership couldn’t see a clear picture, and making confident, data-driven decisions felt impossible.

DataPeak changed that. By integrating data from every system, layering on machine learning to predict demand, and automating procurement workflows, the company shifted from reactive firefighting to proactive supply chain control.

The impact?

Read the full story of how they did it and see what DataPeak could do for your team.

• 30% reduction in production delays

• 25% lower inventory holding costs

• 20% boost in production efficiency

• 15% reduction in overall costs

The result? A smarter, faster, and more resilient supply chain, driven by data, not gut feel.

Disclaimer: Results described in this case study are specific to the featured client’s experience. Actual outcomes may vary based on your business context and implementation.