Field to
Factory
An AI-powered supply chain system for agriculture. Fleet management, transport planning, and real-time monitoring across remote fields and multiple factories.
The Challenge
Multiple factories lacked unified analytics. No visibility into delays, queues, or quota execution. The client needed a system that adapts to specific business goals and processes.
Core Modules
Three components coordinating transport from field to factory. AI-assisted planning. Mobile apps for drivers. Real-time dashboards for managers.
Transport Planning
AI computes optimal routes considering quotas, distance, field status, traffic, and weather. Visual dashboards show real-time vehicle positions and loading schedules.
Driver App
Trip management, schedule adjustments, delay reporting. Works offline in poor connectivity zones. Voice commands and tactile-friendly interface for gloved hands.
Operations Dashboard
Real-time fleet status across 756 vehicles. Supply planning vs. actual. Geo-monitoring with weather prediction. Factory quota execution tracked per location.
The Impact
Real-time tracking replaced retrospective planning. Costs dropped. Safety improved.
AI-assisted route planning reduced empty miles and idle time across 756 vehicles.
Fuel and overtime expenses dropped as the system optimized delivery sequences in real time.
Speed and fatigue alerts caught risky driving before incidents happened. Insurance claims fell.
Staggered scheduling spread departures across wider time windows, easing yard and road bottlenecks.
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