A fully autonomous ecosystem leveraging industry-leading AI, data, and infrastructure to optimize the entire cold chain.
Powers the autonomous multi-agent AI decision-making system. Used for real-time spoilage prediction, emergency rerouting, and conversational analytics.
Autonomous Monitor, Decision, Notification, and Market agents communicate and act without human intervention.
AI agents use structured function calls like reroute_truck() and alert_wholesaler() to take real autonomous actions.
Legal & Compliance AI retrieves from a vector database of FSSAI regulations to generate definitive legal liability reports.
Natural language querying of fleet telemetry data. Ask plain English questions and get SQL queries + visual charts.
Camera-based cargo quality inspection. AI analyzes images for spoilage detection at delivery checkpoints.
Serverless container deployment for the entire backend API layer and autonomous agent execution.
Historical telemetry data warehouse powering the analytics dashboard and predictive models.
Real-time NoSQL database for live fleet state, bid management, and agent communication.
ML models that predict compressor failures and cooling anomalies before they happen.
Real-time carbon footprint tracking, food waste reduction metrics, and economic impact for farmers.
Real-time ingestion of temperature, humidity, GPS, and vibration data from truck-mounted sensors.
Live GPS tracking with route visualization, geofencing, and distance-optimized rerouting.
LoRaWAN mesh network fallback ensures data continuity in zero-connectivity rural areas.
Automated processing of invoices, bills of lading, and compliance certificates using advanced OCR.
Real-time, multi-lingual support for regional drivers and farmers across diverse geographies.
Advanced conversational agent for managing driver queries and autonomous dispatch coordination.
Seamless integration with Docs, Sheets, and Gmail for automated reporting and notifications.