Haladir

Haladir provides an AI-powered decisional layer for logistics that unifies data from multiple systems into a single operational graph and embeds optimization, ML models, and process intelligence to improve supply chain decisions. It positions itself as a platform for operational superintelligence across warehouses, transportation, and global logistics operations.

Haladir sits on top of existing WMS, TMS, YMS, OMS, LMS, IMS, ERP, WOS, EDI, and WCS/WES systems to unify data into one operational graph. It offers five stages: data infrastructure to reconcile data into first-class objects; process intelligence to create a live digital twin and track operations; models and optimization combining ML predictions with constraint solvers for VRP, pick-path, dock-door, labor, and inventory decisions; implementation options including direct pushes into existing systems or AI agents for multi-system coordination; and monitoring for decision traceability and continuous correction. The framework is configurable per customer and can be implemented with operator review, direct system pushes, or AI agents depending on problem type. It targets continuous, optimized decision-making across warehouses, trucking, air and ocean freight, and related logistics operations.

Who it’s for: 3PLs/Contract logistics operators; Distributors; BCOs (beneficial cargo owners) and shippers managing global freight spend and multi-mode transportation

seed funding announced ($4.3M to date); platform integration and customer-specific deployments mentioned