
AI-native platform for autonomous supply chain and logistics management.
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Gain visibility and agility to cut through complexity and scale your supply chain with real-time intelligence.

Inventory management

Supply chain management

Cloud-based inventory software for total visibility, ensuring on-time deliveries and accurate stock levels.
Comprehensive cloud-based software for intermodal drayage, truckload, and brokerage operations.
Automate and optimize your supply chain with intelligent software and flexible automation solutions.
Shipsy's Agentic AI is at the core of its platform, enabling enterprises to move towards an autonomous supply chain. This AI intelligently automates processes for planning, procurement, execution, and tracking of every shipment, and generates highly efficient routes considering over 200 constraint parameters, which is a key differentiator in achieving self-optimizing logistics.
The Intelligent Warehouse Management System is designed to optimize inbound operations by reducing Dock-to-Stock cycle times. It achieves this through optimized inventory storage, avoidance of shrinkage losses with shelf-life management, and precise unit-level inventory tracking using serial numbers.
Yes, Shipsy offers robust integration capabilities. It can integrate with ERPs like SAP, Oracle Netsuite, and Microsoft Dynamics using REST APIs. The platform is also highly configurable to seamlessly connect with existing Order Management Systems (OMS) and other Transportation Management Systems (TMS).
Shipsy enhances last-mile logistics through features like AI-native route optimization, which can generate efficient routes for thousands of orders and hundreds of riders. It also supports intelligent multi-carrier management, rider allocation, batching, and COD operations, as evidenced by customer testimonials reporting scaling from thousands to hundreds of thousands of orders daily.
Shipsy's platform contributes to environmental sustainability by optimizing logistics processes. The company reports having saved over 850 KT+ of carbon emissions, indicating that its efficient routing and operational optimizations lead to a significant reduction in the carbon footprint of logistics operations.
Source: shipsy.io