- Industry
- Logistics & Transport
- Channels
- WMS · TMS · Customer messaging
- Deploys
- Cloud, hybrid or on-premise
- Control
- Human approval where it matters
- Pilot
- Measured proof in 4 weeks
- Built on
- Agent Factory in a Box
Solutions/Logistics & Transport/Logistics AI Agent
IND-03Agent 01 of 03
Logistics AI Agent
Optimises the warehouse, plans the route and tracks every shipment — before problems reach your customer.
01 — The challenge today
Where the
time goes.
- Manual pick paths and poor slotting create warehouse inefficiencies.
- Static routes miss live traffic, time windows and load constraints.
- Delays aren't surfaced until customers escalate.
- Returns processing is slow, costly and mostly manual.
02 — How the agent works
It acts —
not just answers.
Every step runs inside your systems and under your rules — with a person approving anything that matters.
Optimises pick paths, slotting and labour allocation in real time.
Recalculates delivery routes live based on traffic, load and time windows.
Detects exceptions early — auto-notifying customers and rerouting shipments.
Automates return authorisations, restocking decisions and refund processing.
03 — Business value
What it
pays back.
Outcomes your team can measure — not a demo that never leaves the lab.
Outcome 01
Higher throughput
20–30% warehouse efficiency gain without new headcount.
Outcome 02
Fuel savings
optimised routes cut delivery cost per stop.
Outcome 03
Proactive CX
delays caught and communicated before customers ask.
Outcome 04
Returns velocity
reverse-logistics cost per unit reduced significantly.
An operations agent that keeps the whole chain moving — quietly solving problems you never had to hear about.
04 — Getting started
Proof in
four weeks.
We would rather prove one use case properly than describe five. Pick the process that hurts most — we will run it on your own data in four weeks.
Week 1 · Scope
One process, one team, one measure. Agree what “better” means — in hours, days or cost — and measure it before anything changes.
Weeks 2–3 · Shadow
The agent runs alongside your team on live work, with a person approving each action. Its output is compared honestly with what your team produced anyway.
Week 4 · Measure
Report against the baseline, agree the guardrails that stay and document what your team owns. Then decide whether the next process follows.
Three operating principles
Principle 01
Acts inside your systems
Works where the work already is — your core systems, documents, inboxes and channels. No new tool for your team to copy things into.
Principle 02
Bounded by your rules
Limits are set per process: what the agent may do on its own, what needs human approval and what it may never do. Anything outside the boundary goes to a person.
Principle 03
Reviewable and reversible
Every step is logged — what it read, what it changed, who was notified and when. Evidence you can use in audit and compliance reviews.
05 — FAQ
Questions,
answered.
The short answers buyers ask us most about the Logistics AI Agent.
What does the Logistics AI Agent do?
Optimises the warehouse, plans the route and tracks every shipment — before problems reach your customer. Optimises pick paths, slotting and labour allocation in real time. Recalculates delivery routes live based on traffic, load and time windows.
Which problems does it solve for Logistics & Transport teams?
Manual pick paths and poor slotting create warehouse inefficiencies. Static routes miss live traffic, time windows and load constraints. Delays aren't surfaced until customers escalate. Returns processing is slow, costly and mostly manual.
What business value can we expect?
Higher throughput: 20–30% warehouse efficiency gain without new headcount. Fuel savings: optimised routes cut delivery cost per stop. Proactive CX: delays caught and communicated before customers ask. Returns velocity: reverse-logistics cost per unit reduced significantly.
Does a person stay in control?
Yes. The agent works within limits you set for each process: what it may do on its own, what needs human approval and what it may never do. Every action is logged, reviewable and reversible.
How quickly can it be deployed, and where does it run?
Most teams start with a four-week pilot: scope one process in week 1, run the agent alongside your team with human approval in weeks 2–3, and measure the results against the baseline in week 4. It works across WMS · TMS · Customer messaging, and can be deployed in the cloud, hybrid or fully on-premise.
06 — Explore
More for Logistics & Transport.
Every agent can be combined, adapted or built from scratch around the way your business runs. See all 29 solutions →
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Your move
Specify
your agent.
Tell us the process that hurts most. We'll have an agent working on it within weeks.
Book a demo