Manufacturing · Digital Twin · Scenario Simulation · Inventory Optimization · Dispatch
Production scheduling required multiple teams and 3–4 days per supply cycle — blocking rapid response.
Poor stock availability and planning delays caused significant lost revenue across 850+ towns and cities.
Demand surges and operational disruptions had no structured simulation path — decisions were reactive.
Inconsistent schedules led to last-minute procurement, idle capacity, and rising operational costs.
Built a digital twin that simulates production capacity, live inventory levels, and regulatory permit constraints in real time.
Automated scheduling across production, packaging, dispatch, and permit workflows — 5+ plants, 850+ towns.
Demand forecasts directly linked to raw material procurement schedules — eliminating ad-hoc buying.
Real-time simulation and planning dashboards enabling decision-makers to evaluate scenarios before committing.
Planning cycle compressed via the digital twin.
Sales loss rate reduced.
Plants fully optimized & covered.
Towns & cities in the distribution network.