Supply Chain Optimization

The core challenge was 'data fragmentation'. Sensor data from the fleet was stored in different formats than warehouse inventory data, and neither spoke to the central ERP system. This meant that 'cleaning' and 'unifying' the data for reporting was a Herculean task that took weeks every month. By the time reports reached executive desks, the data was already stale.

The inconsistency in data formats across different regional offices was causing significant friction in the supply chain, as inventory levels in one region often didn't match the projected demand in another. This led to overstocking in some areas and stockouts in others, costing the company millions in lost sales and excessive storage fees.