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varolio

AI for Retail & distribution

Keep stock, orders, and promises in sync

Connect store requests, warehouse records, supplier updates, and delivery evidenceFind the exceptions that create repeated chasing across your distribution operationConnect store requests, warehouse records, and delivery evidenceResolve the exceptions behind repeated chasing

Find your first AI opportunitySee the workflow

Start with your operationNo defined AI use case needed

Stockroom employee organizing shelves.
Retail & distributionThe work behind the workflow

The work

Connect store requests, warehouse records, supplier updates, and delivery evidenceFind the exceptions that create repeated chasing across your distribution operation

The evidence

  • Store receipt
  • Dispatch record
  • Transfer order

The first measure

Discrepancy resolution time

01Reconstruct

One case across the store and warehouse

Connect transfer requests, dispatch records, receipts, and messagesShow the difference between what was expected and what arrivedConnect transfer requests, dispatch records, receipts, and messages

Records from several systems converge into one reconstructed case

The operational footprint

Case intelligence

Replenishment Case

REP-0641

Reconstructed
Owner
Distribution operations
Current blocker
Received quantity differs from dispatch
Next step
Prepare a discrepancy review
  1. Record
  2. Update
  3. Current state

Evidence 03

Current blocker

Received quantity differs from dispatchThe next step is assigned to distribution operations

02Find the friction

Find where reconciliation keeps repeating

Trace repeated receipt checks, missing documents, and unclear ownershipChoose the handoff that creates the most avoidable workTrace repeated receipt checks, missing documents, and unclear ownership

Process mining · 742 replenishments · last 90 days

Stage

Stuck

Review

668 of 742 replenishments reached this step

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

Waiting for

warehouse 78%us 22%

Where they go next

  • ↺ Dispatched27%
  • Received73%

03Deliver

Prepare the resolution with evidence

Agents can gather receipt records, draft follow-ups, and route discrepancies to the right ownerStock adjustments and commercial decisions follow your controlsAgents gather receipts, draft follow-ups, and route discrepanciesStock adjustments and commercial decisions follow your controls

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

AI delivery workspace

Customer-specific solution

Prepare a discrepancy review

Case contextAgent skillsAction rules
Operational object
Replenishment Case
Actions
Collect evidence, check requirements, route review
Boundary
Sensitive decisions follow your approval rules
Success measure
Discrepancy resolution time

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

  • Procurement & AP

    Vendor, import and freight invoices matched; overbilling caught before payment

    Invoice lines auto-verified
    ~95%
    Duplicate payments
    down98%

  • Deductions & vendor compliance

    Shortages and damage documented as they happen, with evidence for every claim

    Deductions defended and collected
    Every one

  • Store requests & replenishment

    Every store request owned from the order to the receipt

    Time back per person
    up~6 hrs/wk

  • Receipt discrepancies & returns

    Received quantities checked against dispatch, with every gap owned on a timer

    Exception to owner
    DaystoMinutes
    Resolved without escalation
    85%

  • Deliveries & scheduling

    Delivery windows confirmed and reschedules handled before a promised date slips

    Late deliveries
    down27%
    Scheduling cost
    down~75%

  • Leadership

    Every store, warehouse and route; the cause, not the symptom

    Live exposure total
    Per region

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

Discrepancy resolution time

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

Which store-to-warehouse handoffs need attention?

Let’s explore the work behind stock movements, replenishment and store handoffs, and where Varolio could helpLet’s explore stock movements, replenishment and store handoffs

Find your first AI opportunity

No systems need to be connected for the first conversation