A leading automotive manufacturer operating one of India's largest commercial vehicle production networks — with multiple plants managing thousands of production lines, assembly stations, and logistics workflows simultaneously.
The organisation runs a complex inbound logistics operation where hundreds of parts need to be available at the right line-side location, at the right time, in the right quantity — continuously, without interruption.
Context
The problem wasn't production capacity. It was the logistics layer holding it together.
Replenishment requests were manual — operators called or messaged logistics teams when parts ran low. Configuration data for storage locations, routes, PFEP rules, and station-level BOMs lived in spreadsheets and individual knowledge, with no centralised system of record.
Material movement was tracked on paper or not at all. Inventory visibility across warehouses, supermarkets, and line-side locations was fragmented. When critical shortages hit, there was no structured escalation — just reactive firefighting that disrupted production schedules.
The risk was constant and compounding. A single missed replenishment could stop a production line. And with hundreds of parts moving across multiple plants simultaneously, the margin for error was zero.
The manufacturer needed a system that could digitise the entire replenishment and logistics execution layer — from configuration through to material movement — and make it scalable across every plant without dependency on individual knowledge.