Case Study: Jaguar Land Rover accelerates supply chain production planning from three weeks to 45 minutes with TigerGraph

Jaguar Land Rover accelerates supply chain planning from three weeks to 45 minutes

Jaguar Land Rover (JLR), a global automotive manufacturer, faced the challenge of timely re-planning an extremely complex, multi‑tier supply chain where forecast changes, distributed data across PLM/ERP/build‑simulation systems, and COVID‑era disruption could quickly cause supplier penalties and production disruption. To gain rapid transparency across forecasts, parts, configurations and suppliers, JLR engaged TigerGraph, deploying the TigerGraph graph database (via TigerGraph Cloud) to join siloed datasets and enable fast cross‑system analysis.

Using TigerGraph, JLR integrated 12 data sources into a single graph model (equivalent to 23 relational tables), automated ETL and linked orders to parts and suppliers so queries across the full order book that once took weeks now complete in about 45 minutes—cutting planning time from three weeks to 45 minutes. TigerGraph’s solution delivered measurable impact: decision speed increased ~120x, business value tripled, supplier risk fell ~35%, and JLR can now model re-sequencing and scenario analysis quickly to avoid millions of pounds in supplier charges.

Jaguar Land Rover

Harry Powell

Director of Data & Analytics