Logistics

AI-Driven Supply Chain Optimization

We built a custom machine learning model that predicts demand surges 14 days in advance, allowing for proactive stock allocation.

+32%

Efficiency Gain

$1.4M

Cost Saved

98%

Accuracy

The Challenge

"The client was facing $2M in annual losses due to inventory stockouts and inefficient warehouse routing during holiday seasons."

Our Solution

Implementation of a predictive AI engine integrated with their existing ERP. We overhauled the data pipeline to support real-time sensor data from 40+ warehouses.

Hard Results

32% reduction in stockouts

18% lower transportation costs

ROI achieved in 7 months

Need similar results?

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