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AI adoption: Logistics & Supply Chain

AI adoption in Logistics & Supply Chain

Logistics generates more data and documents than people can read in time. AI turns them into earlier warnings and better plans.

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Use cases

Where AI pays off first

  • 01

    Document processing

    Reading invoices, bills of lading and proofs of delivery into your systems.

  • 02

    ETA and exception prediction

    Flagging shipments likely to be late while there is still time to act.

  • 03

    Routing and load planning

    Plans that balance cost, capacity and delivery promises.

The path

The path for Logistics & Supply Chain

Four stages, each ending with a decision. The first line of every stage is specific to your industry.

Step 1: Assess

Find where AI is worth it

  • Trace one shipment's paperwork and data end to end to find where time and accuracy are lost
  • List the work that is repetitive, slow or stuck in documents
  • Score each use case by value, feasibility and risk

Use case scoring

12 assessed
Use caseValueFeasibleRiskDocument processingETA and exception predictionRouting and load planning

Owner: Operations lead, one lane

Measure: touch time per document

Step 2: Pilot

Prove one use case

  • Automate one document type for one lane or customer and measure touch time and error rate
  • Build one narrow use case with real users and real data
  • Write evaluation tests before the first prompt

Pilot: document processing

Week 4

98.5% fields correct

Touch time per bill of lading

Baseline6 min
Pilot1 min

Decision: continue

Reviewed with the owner

Step 3: Integrate

Put it where work happens

  • Write results into the transport and warehouse systems and route exceptions to the right person
  • Connect to the systems people already use, not a separate tool
  • Add access control, logging and data protection

Connected systems

  • TMSShipments
  • Email inboxDocuments in
  • Customer portalStatus and ETAs
Access controlLoggingData protectionUsage policy
Step 4: Scale

Make it routine

  • Add predictive ETAs and planning optimisation across the network
  • Reuse the same platform, patterns and guardrails for the next use case
  • Move from assistants to agents where the evidence supports it

AI use cases

This quarter
  • Document processingLive
  • ETA and exception predictionLive
  • Routing and load planningPilot

1,900 hours

Saved this quarter

Logistics & Supply Chain

Every shipment visible, every route accounted for.

Logistics runs on thin margins and information that arrives late. We build the tracking, planning and partner tools that show where goods are and what to do when plans change.

What we buildWhat we build

Find your first AI use case

Tell us about your business and where the time goes. We will come back with the use cases we would assess first and how we would test them.

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Your project plan

Ready five days after the first call

Share plan

Approach

Fixed scope
  • Start with sign-up and onboarding, the riskiest flow
  • Ship to a pilot group every week from week three
  • Add the invoice reading agent once data is flowing
First release
Week 4
Demos
Weekly
Code
Yours

Team

5 people
  • PLProduct lead
  • SESenior engineer
  • SESenior engineer
  • PDProduct designer
  • AIAI engineer

Timeline

10 weeks
Discovery
Design
Build
Launch