Bengaluru, India — June 2026 — Intugine Technologies, India’s supply chain intelligence platform tracking over 1 million trucks, today announced the general availability of Cruise — an AI Control Tower built for Indian freight operations. Cruise autonomously detects, communicates, and resolves logistics exceptions across 50+ exception types, reducing control room coordinator headcount by 70% at steady-state deployment.
The launch addresses a long-standing structural problem in Indian logistics: at scale, the volume of exceptions requiring driver and transporter communication outpaces what human coordinator teams can handle. A mid-sized operation managing 800 daily FTL trips generates 80–120 exceptions per day requiring active outreach. Night shift gaps and volume spikes routinely leave exceptions unresolved for 4–6 hours.
Cruise eliminates the coordinator bottleneck entirely.
Cruise operates across four integrated layers. The detection layer continuously monitors trip data using GPS, activity sensing using sensors, and network signals — identifying anomalies against contextual baselines rather than static thresholds. A halt near a known rest stop at 2am is treated differently from a halt at an industrial zone at 11pm on a time-sensitive shipment. The RCA layer classifies each anomaly by exception type, severity, and probable cause — distinguishing a mechanical breakdown from a back-unloading event, or a SIM failure from deliberate signal suppression, before any communication is initiated. The resolution layer determines the correct action path: self-resolve, communicate, escalate, or notify. The execution layer acts — autonomously, without waiting for a coordinator.
At the core of Cruise’s execution layer are two AI agents — Vedika and Ved. Vedika manages outbound driver communication in regional Indian languages, calling within 5 minutes of exception detection. She handles halt verification, ETA confirmation, back-unloading detection, tracking gap follow-up, and dozens of additional exception types — capturing structured responses and cross-verifying driver statements against activity sensing data in real time. Ved manages client and transporter escalations — notifying the right stakeholders with full context, confirmed ETAs, and recommended actions when exceptions require commercial intervention.
Cruise also predicts SLA breaches 3–4 hours in advance, giving operations teams lead time to intervene before a delay becomes a delivery failure.
“Indian logistics has a coordination tax,” said Mrinal Rai, CPO at Intugine. “Every large operation is carrying a team of people whose entire job is to call drivers and relay information. That work should not require humans. Cruise is built to do it autonomously — at 3am, in Hindi, across 2,000 simultaneous trips.”
Key metrics from Cruise deployments:
- 85%+ exception resolution rate without coordinator involvement
- 70% reduction in calling-related coordinator FTE
- 3–4 hours advance SLA breach prediction
- 15,000+ trips managed daily across Intugine’s client base
Cruise integrates with existing TMS and ERP infrastructure. Deployment typically goes live within 1–2 weeks. Operations at 500+ daily trips see payback within 3–4 months.
For more information or to request a demonstration, visit intugine.com or contact [contact email].
About Intugine Technologies Intugine is India’s supply chain intelligence platform, providing real-time visibility across road, rail, and air freight through a network tracking over 1 million trucks. The platform’s visibility, activity sensing technology and control tower is trusted by companies such as Flipkart, Hindalco, Gati, Adani cements and 100+ more companies
