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AI for Logistics & freight

Keep shipments movingAct before exceptions become delays

Connect shipment records, carrier updates, documents, and conversations into one live operational modelSee what is blocked, who owns the next step, and where AI can take the follow-up work off your teamConnect shipment records, documents, and conversationsFind what’s blocked and deploy AI to handle the follow-up

Start with your operationNo defined AI use case needed

Two warehouse coordinators reviewing inventory on a clipboard.
Logistics & freightThe work behind the workflow

The work

Shipment exceptions, missing documents, and carrier follow-ups

The evidence

  • Carrier update
  • Delivery order
  • Customer thread

The first measure

Time to resolve an exception

01Reconstruct

The full story of every shipment

Bring carrier updates, customer conversations, documents, and internal handoffs into one caseConnect the current status to the evidence behind itBring carrier updates, customer conversations, documents, and internal handoffs into one case

Records from several systems converge into one reconstructed case

The operational footprint

Case intelligence

Shipment

SHP-1847

Reconstructed
Owner
Destination operations
Current blocker
Delivery document missing
Next step
Request the signed delivery note
  1. Record
  2. Update
  3. Current state

Evidence 03

Current blocker

Delivery document missingThe next step is assigned to destination operations

02Find the friction

Find where shipments lose time

Trace recurring waits, missing documents, and repeated follow-upsIdentify the workflows worth improving and agree how success will be measuredTrace recurring waits, missing documents, and repeated follow-ups

Process mining · 1,284 shipments · last 90 days

Stage

Stuck

Documents

1,156 of 1,284 shipments reached this step

To get here
3.4d · usually 0.9d
Slowest tenth
9d+
Hit an issue here
31%
Went back here
199 times

Waiting for

carrier 78%us 22%

Where they go next

  • ↺ In transit27%
  • Delivered73%

03Deliver

Give the next step an ownerLet AI handle the routine

Deploy agents to prepare follow-ups, check documents, route exceptions, and keep the case currentSet the actions that can run automatically and the ones your team reviewsAgents prepare follow-ups, check documents, and route exceptionsYou decide what runs automatically and what requires review

The same context, evidence and controls, from discovery into execution

AI delivery workspace

Customer-specific solution

Request the signed delivery note

Case contextAgent skillsAction rules
Operational object
Shipment
Actions
Collect evidence, check requirements, route review
Boundary
Sensitive decisions follow your approval rules
Success measure
Time to resolve an exception

A defined workflow built on your operational model

Examples from live deployments

Where it shows up

Six places this work pays back first, each measured in productionYour own numbers come from the map of your operation

  • Freight & carrier invoices

    Carrier and accessorial charges matched to the shipment before payment

    Invoice lines auto-verified
    ~95%
    Duplicate payments
    down98%
  • Billing & collections

    Customer invoices sent with proof of delivery and past-due accounts chased

    Overdue payments
    down25%
  • Bookings & requests

    Every booking owned from the quote to proof of delivery

    Time back per person
    up~6 hrs/wk
  • Shipment exceptions

    Missing documents, holds and claims owned on a timer, end to end

    Exception to owner
    DaystoMinutes
    Resolved without escalation
    85%
  • Delivery appointments

    Appointments confirmed and reschedules handled before a delivery slips

    Late deliveries
    down27%
    Scheduling cost
    down~75%
  • Leadership

    Every lane, customer and carrier; the cause, not the symptom

    Live exposure total
    Per lane

Value you can account for

See the opportunityMeasure the improvement

Agree what matters before deliveryThen connect the change in the operation to the evidence behind the resultSet the baselineMeasure the changeVerify the value

Example measure

Time to resolve an exception

Defined together, before deployment

The measurement agreementEvidence first
  1. 01

    Establish the baseline

    Count the work before the solution is deployed

    Cases, effort and waiting time

  2. 02

    Observe the change

    Compare equivalent cases over an agreed period

    Volume, mix and adoption

  3. 03

    Validate the benefit

    Separate time freed from savings actually realized

    Confirmed operational outcomes

  4. 04

    Account for the cost

    Include delivery and ongoing operating costs

    Net value, with assumptions

Validated benefit−Total cost=Net value

The foundation

Your first improvement is a starting point

Each deployment builds on the same operational modelExtend into adjacent workflows as priorities, evidence and readiness allow

Explore the five connected layers

Your next improvement

Where do your shipments get stuck?

Let’s explore the coordination behind your shipments, where Varolio could help, and what an initial discovery would involveLet’s explore shipment coordination and the right first step

No systems need to be connected for the first conversation