Gurugram, India, September 1, 2026
Shipsy, an AI-native enterprise logistics management platform, today announced the beta launch of Shipsy Brain, a fine-tuned AI model purpose-built for logistics. The model combines specialized open-source models with proprietary data generated across Shipsy’s platform, and is designed to help enterprise AI agents interpret the relationships among shipments, drivers, documents, carriers, routes, contracts and financial processes, and then act on them with considerably greater accuracy, speed and control than general-purpose frontier models.
The company positions Shipsy Brain as a response to the limitations of general-purpose frontier models in logistics. Such models are trained largely on internet text and often lack the operational context specific to supply-chain work, from the structure of a freight invoice to the many ways an address or consignment number is written across systems. In operations where a single decision can carry significant financial consequences, that missing context becomes a material problem.
“AI in logistics must understand how shipments, drivers, documents, carriers, contracts and many other variables interact with each other and then take the right action. Shipsy Brain brings this operational depth to global supply chains. It is built to help enterprises move beyond dashboards and copilots toward AI systems that can reason, recommend and act within clearly defined business controls.”
What sits behind Shipsy Brain
Shipsy Brain combines specialized open-source models with logistics data generated through Shipsy’s platform. That includes:
- 50 billion+ operational events recorded over five years
- 1 billion+ auto-assigned decisions and 500 million+ human decisions, along with reassignment history
- 100 billion+ GPS location pings connected with route and delivery outcomes
- 3 billion+ delivery labels across different carriers and formats
- 342 carrier integrations and more than 50 million routing decisions
- 3 billion+ hub scans covering the movement of shipments through the network
- 5,000+ workflows built across Shipsy’s Workflow Builder and AgentFlow platform
This data enables Shipsy Brain to understand logistics-specific context that is often ambiguous to a general model. Shipsy Brain coordinates specialized models across documents, consignments, trips, workflows and financial processes. These models can power agents for document validation, address intelligence, anomaly detection, ETA prediction, routing, settlement management and workflow recommendations.
Shipsy Brain lives inside Shipsy’s AgentFleet platform, where it watches live operations, identifies manual work it can automate, requests permission, and self-executes gated by its confidence on each specific action. When a human corrects it, it learns from the correction, so the platform improves from what it runs.
Shipsy Brain is also model-agnostic. It can draw on whichever underlying model performs best for a given task, so every advance in general-purpose AI makes Shipsy Brain more capable.
How Shipsy Brain drives impact
Accuracy. Shipsy Brain is built on proprietary knowledge from more than 5 billion shipments, billions of platform actions, and thousands of logistics workflows. This allows it to interpret domain-specific nuances, such as the different names enterprises use for consignment numbers, that generic models often miss. In document-intelligence benchmarks, Shipsy’s model scored 86.6% on document understanding and 82.2% on overall field extraction, against 63.4% for the closest Gemini comparison.
Speed. Shipsy Brain uses fine-tuned, logistics-specific models that already understand industry terminology, workflows and operational context. Unlike general-purpose frontier models, which must process extensive prompts to understand each task, these specialized models respond and execute faster, accelerating decisions, customer support, and the deployment of new logistics use cases.
Cost. Shipsy Brain runs on fine-tuned, self-hosted open-source models instead of relying entirely on expensive frontier-model tokens. Specialized models require less computation and fewer tokens for logistics tasks, helping reduce the cost per interaction at enterprise scale. This approach also gives customers greater predictability and control, avoiding exposure to price increases or the discontinuation of lower-cost models by external providers.
Against frontier models, a logistics-tuned model wins on the documents that matter
| Metric | Shipsy Brain | Gemini 3.5 | Gemini 3 | Gemini Pro |
|---|---|---|---|---|
| Overall field extraction | 82.2% | 63.4% | 62.0% | 62.4% |
| Logistics domain knowledge | 92.4% | 45.9% | 38.6% | 45.9% |
| Document references | 83.6% | 51.6% | 52.8% | 44.1% |
| Document understanding | 86.6% | 81.2% | 82.7% | 78.9% |
The gap does not hold steady, it widens. Every shipment, decision and human correction feeds back into the layer, and the platform improves from what it runs.
Shipsy frames the launch as a step from a system of record toward a system of action, one that can determine and complete the appropriate response, with the final financial and customer-impacting decisions remaining with people.
Shipsy Brain is currently available in beta to selected enterprises. Feedback from participating organizations is expected to inform its continued development, including how customers define permissions, select workflows and set the level of human oversight required. The company has not announced a timetable for wider availability.
About Shipsy
Shipsy is redefining the multi-trillion-dollar logistics industry with its AI-native Enterprise Transportation Management Platform, helping 9 Fortune 500 companies and 18 of the world’s leading industry players run AI-native supply chains. The company is headquartered in Gurugram, India, and today serves enterprise customers across 30+ countries.
With Agentic AI at its core, Shipsy drives enterprise-wide transformation for 150+ customers globally. Featured in the Gartner Magic Quadrant for both Transportation Management (global) and Warehouse Management (APAC), Shipsy operates from its India headquarters alongside global offices in London, Amsterdam, Riyadh, Dubai, Singapore, and Sydney. Learn more at www.shipsy.ai.