Logistics

The exceptions are the job.

Scheduling, dispatch, documentation and the constant stream of things that did not go to plan, handled by agents, with your controllers deciding what matters.

Schedule call Read the method

The problem in logistics

Coordination, not transport, is where the margin goes.

A shipment moves fine until a field is wrong, a slot is missed or a count disagrees. The cost is people reconciling systems that never agreed.

Exception handling that is routine enough to automate60 to 85%

Systems a controller touches per exception4 to 6

Manual steps removed in our own operation81%

Weeks to a first exception type live4 to 8

MIT NANDA, 2025 Cisco AI Readiness Index, 2025

Ranges without a named source are Momentem’s own engagement data, including Gridwork, a company we own and operate. Treat them as observed ranges, not guarantees.

A records aisle of boxed files running away into the dark

Data in six systems

TMS, WMS, portals, email, spreadsheets. None agreeing.

Undocumented rules

The senior controller knows. Nobody wrote it down.

Write-back nobody trusts

No reversal path, no sign-off from operations.

Thin margins per move

Automation has to be cheap per case to count.

What we can deploy here

Real applications, in the order we would usually deploy them for an operation this shape.

Agent

Exception Desk

Reads the exception, gathers context across your systems and proposes the resolution for a controller to approve.

Awaiting approvalconfidence 0.91

Rebook shipment: SLA at riskexception-agent

ApproveRejectAsk for detail

Agent

Rebooking Agent

Finds the next viable slot, carrier and route when a movement fails.

Slot found: carrier Bready

Awaiting customer windowheld

Rebooked: 14:20done

Service

Document Clerk

Extracts and cross-validates manifests, invoices and declarations before submission.

Fields extracted38 per doc

Cross-checked against3 sources

Mismatches flaggedpre-submission

Assistant

Track & Trace

Answers where-is-my-shipment from live system data instead of a controller checking screens.

answered without a person90%

Escalates only genuine problems, with history attached.

Service

Freight Audit

Matches invoices to movements and rate cards, queueing only real discrepancies.

Lines checkedevery invoice

Rate card matchautomatic

Disputes queuedwith evidence

Planner

Dispatch Planner

Drafts the daily schedule against your constraints for a controller to adjust.

Draft schedule ready06:10

Constraint conflicts2 flagged

Approved by controller06:24

Workflows worth automating

workflows

78%

average automatable

6 to 12

weeks to live

Exception handling

Late, short, damaged, refused

78%

Automatable

TodayControllers reading email and phoning to confirm what a system already knows

With usReads the exception, gathers context across systems, proposes a resolution for approval

−85%exception resolution time

Trade documents

Manifests, invoices, declarations

85%

Automatable

TodayManual checking against three sources, errors found after they cost money

With usExtracts and cross-validates fields, flagging mismatches before submission

−80%document error rate

Customer updates

Where is my shipment

90%

Automatable

TodayA controller checking three screens per enquiry

With usAnswers from live system data, escalating only genuine problems

−90%controller time per enquiry

Freight audit

Invoice vs rate card vs actual

80%

Automatable

TodayLine-by-line reconciliation, or simply not checking

With usMatches invoices to movements and rate cards, queueing real discrepancies

−75%invoice lines checked by hand

Dispatch planning

Daily planning against constraints

55%

Automatable

TodayHours of manual sequencing every morning

With usDrafts the schedule for a controller to adjust and approve

−70%morning planning time

Why Momentem

About the company →

We run a field operation ourselves

Gridwork is our own platform: agents draft the schedule, price the job and chase exceptions. Two operators now run what took eleven.

Reversible before automated

Nothing that touches a customer commitment ships without a documented rollback path and a switch your controllers hold.

Scored on your own exceptions

The eval set is built from your past exception history, including the awkward ones, and handed to your team to rerun.

Engineers in your control room

Our pod sits with your controllers in week one, because the real rules are not in the process map.

The business outcomes we measure against

Cost per shipmentthe ceiling any automation must beat

On-time deliverythe number the customer contract is written against

Controller hours per lanecoordination load we expect to remove

Detention and demurrageavoidable spend from late documentation

Claims and creditsmargin lost to exceptions handled slowly

Volume per controllerthe scale headroom you gain

Services that apply here

Custom AI platformsAgent systems and intelligent workflows

Data & integrationsConnecting the systems you already run

Software & internal platformsPortals, dashboards, operational tools

AI strategy & auditsWhere AI fits and what it is worth

How the build runs.

Week 0

Scope

Sessions with the people doing the work. We leave with a written target and a data map.

Week 1 to 2

Prove

A thin slice against your real records, scored on a test set drawn from your own history.

Week 3 to 12

Deploy

Integrations, approval gates, audit logging. Live on one team with a rollback switch.

Ongoing

Hand over

Runbooks, paired on-call and a decision log, until your team changes it without us.

Someone at a desk in a dark office beside a run of windows

Which of these workflows costs you most?

Forty-five minutes with the people who would build it. No pitch, and a straight answer on whether it is worth building.

Schedule call

Questions

All questions

Almost certainly. If it has an API, a database or an export directory we can work with it. If it is import-only, the design shifts to a reviewed queue with an approval gate.

Yes, as extraction and validation with confidence scores. Anything the system is not sure about goes to a person rather than being guessed at.

A scored eval set built from your own past exceptions, including the awkward ones, run before anything touches live traffic.

The exceptions are the job.

Coordination, not transport, is where the margin goes.

Data in six systems

Undocumented rules

Write-back nobody trusts

Thin margins per move

What we can deploy here

Exception Desk

Rebooking Agent

Document Clerk

Track & Trace

Freight Audit

Dispatch Planner

Workflows worth automating

Exception handling

Trade documents

Customer updates

Freight audit

Dispatch planning

Why Momentem

We run a field operation ourselves

Reversible before automated

Scored on your own exceptions

Engineers in your control room

How the build runs.

Scope

Prove

Deploy

Hand over

Which of these workflows costs you most?

Questions

Do you integrate with our TMS?

Can this handle customs documentation?

How do you prove it before we trust it with live shipments?

Other industries

Banking & finance

Real estate

Government

Healthcare

Construction

Retail

Professional services

Hospitality

Energy & utilities

Education

Legal