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Arixent

Industries

Engineering for Logistics & Supply Chain

Planners lack a reliable picture when shipment events, warehouse capacity and carrier updates arrive in different systems. We connect operational feeds and build forecasts and exception tools at the level where dispatch and capacity decisions happen.

Talk about your sector
Container terminal with cranes and stacked containers at sunset

Overview

Logistics is a real-time optimization problem disguised as an operations business. Every shipment, route, container and warehouse slot is a decision, and the data to make it better already exists in TMS, WMS, telematics and partner feeds. It is rarely joined up.

We build forecasting and optimization models, visibility and control tower platforms, streaming data pipelines and the software that shippers, carriers, 3PLs and freight platforms use to run their operations.

Data Engineering & Platform Modernization: Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.

Data Science & Predictive Modeling: Forecasting, churn, risk and optimization models, delivered by embedded data science teams.

AI Agents & Intelligent Automation: Agentic systems and automation that complete multi-step work under human oversight.

For a representative delivery approach, read Forecasting demand across a logistics network.

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Challenges

What gets in the way

Poor visibility

Shipment status and exceptions are scattered across carriers, partners and systems.

Manual planning

Routing, load building and scheduling depend on planner experience and spreadsheets.

Demand and capacity mismatch

Forecasts do not capture demand shifts, leading to idle or overloaded capacity.

Document-heavy processes

Bills of lading, customs paperwork and proofs of delivery are handled by hand.

Fragile integrations

EDI, APIs and partner feeds break quietly and are hard to monitor.

Legacy operational systems

Aging TMS and WMS limit new capabilities and data access.

Bring the use case. We will bring the engineering point of view.

Where it fits

Typical use cases

  • Real-time shipment tracking and ETA prediction
  • Route and load optimization
  • Warehouse slotting and labor planning
  • Customs and shipping document processing
  • Carrier and customer portals
  • Exception management with AI assistance

FAQ

Questions about Logistics & Supply Chain

Yes. EDI, APIs and file-based feeds are all part of our integration work, with monitoring so failures are visible.

It depends on data coverage, which we assess first. Models combine historical performance, live telematics and external factors, and report confidence so operations can act accordingly.

Yes, designed for offline use, rugged devices and quick interactions.

Yes. We add APIs, data pipelines and new interfaces around existing systems and replace components in stages.

Next step

Ready when you are.

Tell us what you are trying to build and we will come back with a point of view, not a pitch.