This is like giving your entire logistics network a nervous system and a brain: sensors (IoT) constantly tell you where every vehicle, part, and package is and how it’s doing, while AI decides the best routes, loading plans, and schedules to cut delays and waste.
Reduces logistics costs and delays by using AI plus IoT data to optimize routes, loads, fleet usage, and warehouse operations, while increasing visibility and reliability across the supply chain.
Tight integration of AI with proprietary operational and telematics data, process know‑how in logistics and automotive supply chains, and embedded workflows that make the optimization engine hard to displace once integrated into fleet and warehouse operations.
Hybrid
Vector Search
High (Custom Models/Infra)
Streaming and storing high‑volume IoT telemetry while keeping AI inference (routing, scheduling, anomaly detection) fast and cost‑effective at fleet and network scale.
Early Majority
Positioned around combining AI optimization with IoT telematics and logistics operations rather than being a generic analytics or AI platform, targeting automotive and complex supply-chain environments where real-time data from vehicles and assets materially changes routing and planning decisions.