Recognized in the 2026 Gartner® Magic Quadrant™ for TMSNiche Player · 3rd consecutive yearRecognized in the 2026 Gartner® Magic Quadrant™ for TMSNiche Player · 3rd consecutive yearAUTOMOTIVE
Manage inbound parts logistics, outbound vehicle distribution, and aftermarket delivery across domestic and international lanes, with AI-native execution.
The Problem
Inbound, multi-modal and aftermarket — three fault lines where a single blind spot stops a line, hides a delay, or lets a dealer down.
The Solution
Shipsy connects inbound, outbound, and aftermarket logistics into a single AI-native platform.
Supplier milk-run consolidation, carrier scheduling, and cross-border planning — with real-time inbound tracking and exception alerts.
Vehicle and parts distribution with FTL optimisation, multi-stop routing, and dealer delivery scheduling.
Spare-parts delivery to dealers and workshops with priority routing, real-time tracking, and proactive delivery notifications.
POWERED BY AGENTFLEET
From inbound parts to outbound vehicles and aftermarket delivery, three AI agents orchestrate, route, and settle the network end-to-end. Humans step in only on exception.
Optimises routes for inbound parts, outbound vehicles and aftermarket delivery, and executes navigation across every lane.
Proven Results
Case Study
FAQ
AI optimises supplier milk runs to consolidate parts shipments, reducing transport costs while ensuring just-in-time delivery to assembly plants.
Yes. Shipsy manages international lanes across ocean and road with customs documentation, container tracking, and cross-border compliance.
Priority-based routing ensures critical spare parts reach dealers and workshops on time, with real-time tracking and proactive delivery notifications.
End-to-end visibility from supplier to assembly line to dealer, across all modes, carriers, and geographies in a single dashboard.
Logistics is too critical for reactive systems. The world’s leading enterprises are amplifying their teams with AI that acts, so their people can focus on what matters most.