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09Logistics

The network should replan itself. People should handle the exception.

Demand shifts, lanes clog, and partners still coordinate in email. We engineer forecasting, routing, and exception intelligence that can replan under live constraints — so operations sees the disruption while there is still a move left, not in the next morning’s report.

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A coordinator overlooking a container port at dawn

Architecture

A network architecture that can change its mind

Static plans die on contact with weather, volume, and carrier reality. We keep orders, inventory, and telematics in one operating picture, simulate before we commit, and push exceptions to people with the context to act.

Why it matters

Why logistics AI has to be live

A nightly plan is a hypothesis. The product is what you do when the hypothesis is wrong at 14:00.

  • Replan, don’t report

    Models and solvers run on events, not on a morning batch that is already stale.

  • Constraints are the product

    Hours of service, dock slots, and service promises are inputs — not footnotes on a pretty route.

  • Exceptions with options

    The queue shows what broke and what is still possible, not a red dot on a map.

How it works

Forecast, optimize, and handle the exception

  1. 01

    Forecast

    Demand and capacity at the grain operations actually buys and staffs against.

  2. 02

    Optimize

    Routes, loads, and labor under live constraints — then re-optimize when a constraint breaks.

  3. 03

    Exception

    Detect the miss early, attach the options, and route it to someone who can still change the outcome.

A worker with a scanner in a high-rack warehouse aisle

In production

What production logistics AI actually does

How the system behaves when it is live — not in a demo.

  • 01

    How it works

    The network state is current. Plans are proposals until they are committed.

    • Ingests orders, inventory, and location at the cadence dispatch needs.
    • Forecasts and optimizes under constraints, then simulates the commit.
    • Pushes work to TMS/WMS and opens exceptions when reality diverges.
  • 02

    Why it is different

    This is not a map with ETAs glued on.

    • Solvers respect the constraints dispatch already knows are real.
    • Partner and customer updates are APIs, not extra phone trees.
    • Monitoring is 24/7 on routing and forecast jobs, because freight does not sleep.
  • 03

    Why it matters

    Cost, service, and sanity stop being a three-way loss.

    • Planners spend time on the ugly exceptions.
    • Customers see an ETA that still means something.
    • The network absorbs a shock without a war room by default.

The challenge

Where supply networks lose time

Demand forecasting, route optimization, and real-time operational intelligence built for complex, fast-moving supply networks.

  • 01

    Plans vs. the afternoon

    Routes and labor are locked in the morning. The world is not.

  • 02

    Visibility gaps

    Warehouse, linehaul, and last mile each have a system. Nobody has the shipment.

  • 03

    Partner coordination

    Carriers, 3PLs, and customers still learn about delays by calling.

  • 04

    Last-mile economics

    Density, windows, and failed deliveries punish you unless routing can replan cheaply.

Put it to work

What we build for Logistics

Network capabilities we deploy together — forecast without routing is a report; routing without exceptions is a wish.

  • Demand forecasting

    SKU, lane, and node forecasts that replenishment and labor can actually staff to.

    • Forecasts
    • Grain
    • Accuracy

  • Route & load optimization

    Constraint-aware routing with a replan path when a stop, vehicle, or window breaks.

    • Routes
    • Loads
    • Replans

  • ETA & exception detection

    Arrival prediction and early warning when a shipment will miss — with next-best options.

    • ETAs
    • Alerts
    • Options

  • Warehouse intelligence

    Slotting, labor, and replenishment signals inside the WMS cadence.

    • Slotting
    • Labor
    • Replenishment

  • Control-tower workflows

    Exception queues with owners, SLAs, and partner notifications.

    • Queues
    • Owners
    • Notify

  • Supplier & carrier risk

    Early signals on capacity, performance, and concentration — for planners, not a slide.

    • Risk
    • Concentration
    • Watchlists

Logistics

The work Logistics teams run

Demand forecasting, route optimization, and real-time operational intelligence built for complex, fast-moving supply networks.

  • 01

    Route Optimization

  • 02

    Demand Forecasting

  • 03

    Fleet Intelligence

  • 04

    Operations Automation

  • 05

    Warehouse Management Systems

  • 06

    Shipment Tracking Automation

  • 07

    Inventory Replenishment Models

  • 08

    Delivery Time Prediction

  • 09

    Supplier Risk Analysis

  • 10

    Last-Mile Delivery Optimization

  • Planning

    Forecasts operations will staff to

    Demand and capacity at a grain that labor and inventory can use.

  • Dispatch

    Exceptions with an owner

    Control-tower workflows, partner updates, and SLA clocks.

  • Stack

    TMS and WMS, evented

    Intelligence on the systems you already dispatch from.

  • Playbooks

    What we did last time this lane broke

    Retrieval over SOPs, tariffs, and incident notes when the clock is running.

Simulate, then commit

Do not dispatch a guess

We treat a route as a proposal until constraints, cost, and service have been checked. Irreversible or expensive commits stay behind a human or a rule you can defend at 2 a.m.

  • Simulation before commit on costly moves
  • Replan triggers from telematics, orders, and docks
  • Exception packets with options, not just alerts
A freight truck at a loading dock in daylight

System flow

How we engineer for logistics & supply chain

  1. Operational data
  2. Forecast & optimize
  3. Automate dispatch
  4. Track in real time
  5. Adapt to disruption

The outcome

Networks that plan smarter, respond faster, and keep goods moving reliably.

What changes for the teams that run this work every day.

  • Morning plan, afternoon fire drill

    Event-driven replan with options

  • ETA as a hope

    Arrival prediction with miss alerts

  • Partners informed by phone

    APIs and exception queues

Under the hood

Industry-specific AI / ML

Forecasting, routing, and exception detection for networks that cannot stay static.

  • 01

    Demand forecasting at SKU, lane, and region level

  • 02

    Route and load optimization under live constraints

  • 03

    ETA prediction and carrier exception detection

  • 04

    Warehouse slotting, labor, and replenishment models

Production & governance

  • 01

    Real-time ingestion from TMS, WMS, and IoT

  • 02

    Simulation before committing routes

  • 03

    APIs to dispatch, customers, and partners

  • 04

    24/7 monitoring on routing and forecast pipelines

How we deliver

A clear path from first conversation to production

  1. 01

    Map the network

    Nodes, constraints, systems, and who currently gets the 2 a.m. call.

  2. 02

    Make state visible

    Orders, inventory, and location in one picture before we optimize anything.

  3. 03

    Optimize with a human gate

    Shadow-run against last week’s chaos; only then commit to live dispatch.

  4. 04

    Operate the exceptions

    Launch the queue, the notifications, and the monitoring — then tighten constraints.

Technology

Tools and platforms we work with

We choose the simplest stack that fits the constraint — and work in yours where you already have one.

Python

FastAPI

PostgreSQL

Redis

PyTorch

AWS

Docker

Kubernetes

GitHub Actions

OpenAI

Engagement outcome

What you receive

  • Forecasting and/or routing services tied to TMS/WMS
  • Exception queues with options and owners
  • Simulation-before-commit on costly actions
  • Partner and customer notification APIs
  • Runbook for dispatch, planning, and engineering

Where it connects

Capabilities we draw on

FAQ

Questions we hear in this sector

Straight answers about how we work — without invented case results.

Will this auto-dispatch without a planner?

Only inside constraints you define. Expensive, irreversible, or customer-sensitive commits start with a human or a strict rule. The point is to replan fast, not to remove judgment.

Can you work with our TMS and WMS?

Yes. We integrate with the systems dispatch already opens. Replacing them is not the opening move.

What if telematics is sparse?

We design for incomplete location. Confidence should fall in public; the system should not invent a precise ETA from a missing ping.

How do partners get updates?

APIs, events, and the same exception packet your tower sees — not a separate email chain that drifts out of date.

Keep exploring

Related industries

Ready to engineer this for Logistics?

Tell us about the operation, the constraint, and what production has to look like. We'll come back with an honest first increment — not a generic AI pitch.

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