Haladir is a Logistics AI tool that unifies data across various logistics systems, deploys event-driven AI agents, and embeds solver-grade optimization into 3PL and distributor operations. It provides intelligent automation and machine learning for global logistics.
Haladir is an operational AI layer designed for global logistics, specifically targeting 3PLs and distributors. It unifies data from diverse systems such as WMS, TMS, YMS, OMS, LMS, IMS, ERP, WOS, EDI, and WCS/WES into a single queryable operational graph. The platform deploys event-driven AI agents with execution authority to automate tasks like releasing fulfillment waves, directing picking and packing, assigning docks, and resolving exceptions. Furthermore, Haladir embeds solver-grade optimization and machine learning capabilities, including vehicle routing, multi-echelon inventory optimization, mixed-integer programming, demand forecasting, ETA prediction, pick-path optimization, labor forecasting, and shift scheduling, directly into core operations.
Best used for
Ideal for 3PLs and distributors who need to unify disparate logistics data, automate operational tasks with AI agents, and embed advanced optimization into their supply chain. Especially valuable for organizations running live freight networks, including global carriers and specialized fulfillment operators, or AI labs seeking RL environments.
Not publicly disclosed. Check haladir.com for current pricing.
FAQs
What types of logistics systems can Haladir integrate with?
Haladir is designed to ingest, normalize, and reconcile data from a wide range of logistics systems, including WMS, TMS, YMS, OMS, LMS, IMS, ERP, WOS, EDI, and WCS/WES. This creates a single, queryable operational graph for comprehensive oversight.
How does Haladir use AI agents for automation?
Haladir deploys policy-bounded AI agents that listen for events across logistics flows. These agents have execution authority to autonomously release fulfillment waves, direct picking and packing, assign docks, and resolve exceptions within guardrails defined by operators, ensuring intelligent automation.
What kind of optimization and machine learning capabilities does Haladir offer?
Haladir provides solver-grade operations research and machine learning in production. This includes vehicle routing (VRP, CVRP, VRPTW), multi-echelon inventory optimization (MEIO), mixed-integer programming (MILP), demand forecasting, ETA prediction, pick-path optimization, labor forecasting, and shift scheduling.