The Decisional AI Layer for Logistics
Halagon is the decisional AI layer for logistics. We sit on top of your WMS, TMS, OMS, YMS, and ERP systems, unify their data into one operational graph, and embed solver-grade optimization, machine learning models, and process intelligence into the decisions that power modern supply chains.
Today's AI brought intelligence. The next frontier is judgement.
/ The Problem
Today's logistics operations are powered by dozens of specialized systems: warehouse management, transportation management, order management, yard management, enterprise resource planning, and more. Each system optimizes its own silo, but the decisions that actually matter span multiple systems.
The result? Operators spend hours reconciling data across systems, making decisions based on incomplete information, and firefighting problems that could have been predicted and prevented.
Halagon changes this. We create a unified operational graph from your existing systems and embed AI-powered decisional intelligence directly into your workflows.
/ The Operational Graph
Halagon reconciles IDs, timestamps, and event semantics across all your systems so that SKUs, orders, shipments, lanes, pallets, and shifts become first-class objects in a single operational graph.
We automatically match and merge entities across systems. The same SKU, order, or shipment is recognized whether it appears in your WMS, TMS, OMS, or ERP.
Every status change, scan, handoff, and exception is captured and linked to the correct operational objects, creating a complete audit trail across your entire supply chain.
We model the complex relationships between entities: which orders contain which SKUs, which shipments serve which lanes, which shifts handle which pallets.
The graph updates continuously as events flow in from your systems, giving you a live digital twin of your operation that reflects reality within seconds.
/ Platform
Our framework transforms raw operational data into actionable intelligence, unlocking maximally optimal decisions at breakneck speed across warehouses, trucking, air and ocean freight, and everything in between.
Stage 01
Unifies operational data across the systems you already run: WMS, TMS, OMS, YMS, ERP. IDs, timestamps, and event semantics are reconciled so that SKUs, orders, shipments, lanes, pallets, and shifts become first-class objects in your operational graph.
Stage 02
Reconstructs the operation from the events your systems produce, building a live digital twin of the warehouse floor, the lanes, and the labor schedule. Object-centric process mining tracks entities, not just activities, so you understand what happened and why.
Stage 03
Brings together ML predictions and constraint solvers. ML models predict uncertain quantities like demand, dwell time, ETA, and no-show risk. Solvers turn predictions plus constraints into optimized decisions that maximize throughput and minimize cost.
Stage 04
Supports several channels for decision execution: operator review dashboards for high-stakes calls, direct system integration for well-constrained decisions, and AI agents for multi-system coordination across carriers, customers, and internal teams.
Stage 05
Provides live system state, decision traceability from inputs to action, and recommended-versus-executed comparison. When something goes wrong, failures are attributed back to the layer that caused them so you can fix the root cause.
Ready to see how Halagon can transform your operation?
Explore the full platform/ AI Capabilities
Halagon combines three types of AI to deliver decisional intelligence: machine learning for prediction, mathematical optimization for decision-making, and AI agents for coordinated execution.
Know before it happens
Our ML models are trained on your operational data to predict demand, dwell times, carrier performance, labor requirements, and exception probability. Predictions feed directly into optimization.
Optimize under real-world constraints
We embed industrial-grade mathematical solvers that turn predictions and constraints into optimal decisions. These aren't heuristics—they're proven optimal solutions to complex combinatorial problems.
Execute across systems
Our AI agents can take actions on your behalf across multiple systems and external parties. They handle routine coordination so your team can focus on strategic decisions and exception handling.
/ Built For
Halagon is designed for complex, multi-system logistics operations where decision quality directly impacts cost, service, and competitive advantage.
Global and regional contract logistics providers spanning warehousing and fulfillment, cold-chain storage, air freight, ocean freight, and trucking. You manage complexity for your customers—we help you manage it better.
Common Use Cases
Brand-owned and independent distribution networks spanning DTC fulfillment, wholesale replenishment, retail allocation, and multi-DC inventory positioning. We help you get the right product to the right place at the right time.
Common Use Cases
Beneficial cargo owners and shippers managing global freight spend, multi-mode transportation, and carrier performance across their own supply chain. We help you see and optimize your freight operation end-to-end.
Common Use Cases
/ Integration
We tap the integration layers you already use across WMS, TMS, OMS, YMS, ERP, and data warehouses, feeding their data into a single operational graph. No re-onboarding partners, no rip-and-replace, no multi-year implementation.
From that graph, our five-stage platform turns your operation into continuously optimized decisions, executed back through your existing systems or through AI agents acting on your behalf.
Typical implementation timeline: 6-12 weeks. We work with your existing data pipelines and can often go live without changes to your source systems.
Manhattan, Blue Yonder, Körber, SAP EWM, Oracle WMS
Oracle TMS, Blue Yonder TMS, MercuryGate, project44
Manhattan OMS, IBM Sterling, Fluent Commerce
C3 YMS, FourKites, Descartes
SAP, Oracle, Microsoft Dynamics, NetSuite
Snowflake, Databricks, BigQuery, Redshift
/ Why Halagon
We're not another visibility platform, another BI tool, or another point solution.We're the decisional layer that makes your entire stack smarter.
Most supply chain software shows you what happened. We tell you what to do. Our platform doesn't just surface insights—it generates specific, actionable recommendations that can be executed automatically or with operator approval.
We built from the ground up around an operational graph, not relational tables. This lets us model the complex relationships between entities and reason about your operation the way experienced operators do.
We use the same mathematical optimization technology that powers airline scheduling, chip manufacturing, and financial trading. These aren't heuristics or rules—they're provably optimal solutions to complex problems.
Every decision we make becomes training data for better decisions. Our models improve over time as they learn the specific patterns and constraints of your operation, getting smarter the longer you use them.
/ Contact
If you run a 3PL, a contract logistics operation, a distribution network, or a global supply chain, and you believe AI should do more than generate reports, we should talk. We work with a limited number of design partners to ensure we can deliver exceptional results.