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varolio

AI for Apparel & textiles

Keep every style movingFrom sample to shipment

Connect tech packs, sample feedback, purchase orders, and factory updatesFind the approval loops and missing inputs that put delivery dates under pressureConnect tech packs, sample feedback, and factory updatesClear the approval loops that put delivery dates at risk

Find your first AI opportunitySee the workflow

Start with your operationNo defined AI use case needed

Fashion designer working with fabric scraps.
Apparel & textilesThe work behind the workflow

The work

Connect tech packs, sample feedback, purchase orders, and factory updatesFind the approval loops and missing inputs that put delivery dates under pressure

The evidence

  • Tech pack
  • Sample feedback
  • Factory update

The first measure

Sample approval turnaround

01Reconstruct

The full context behind every style

Connect the latest specifications, sample comments, order details, and factory commitmentsGive each revision a traceable place in the workConnect specifications, sample comments, order details, and factory commitments

Records from several systems converge into one reconstructed case

The operational footprint

Case intelligence

Style Order

STY-0412

Reconstructed
Owner
Production merchandising
Current blocker
Sample revision approval pending
Next step
Assemble the sample review
  1. Record
  2. Update
  3. Current state

Evidence 03

Current blocker

Sample revision approval pendingThe next step is assigned to production merchandising

02Find the friction

Find the loop that threatens the date

Trace repeated clarification, missing feedback, and approval waitsIdentify the coordination work that keeps a style from moving into productionTrace repeated clarification, missing feedback, and approval waits

Process mining · 218 style orders · last 90 days

Stage

Stuck

Approval

196 of 218 style orders reached this step

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

Waiting for

buyer 78%us 22%

Where they go next

  • ↺ Sampled27%
  • Production73%

03Deliver

Get the right revision to the right reviewer

Agents can collect feedback, prepare approval packages, and follow up with factoriesYour team approves product, quality, and commercial decisionsAgents collect feedback, assemble review packages, and follow up with factoriesYour team approves product, quality, and commercial decisions

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

AI delivery workspace

Customer-specific solution

Assemble the sample review

Case contextAgent skillsAction rules
Operational object
Style Order
Actions
Collect evidence, check requirements, route review
Boundary
Sensitive decisions follow your approval rules
Success measure
Sample approval turnaround

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

  • Factory & freight invoices

    Factory, trim and freight invoices matched to orders before payment

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

  • Wholesale collections

    Past-due accounts chased, with chargebacks and disputes surfaced early

    Overdue payments
    down25%

  • Samples & approvals

    Every sample owned from request to approval, with comments carried through

    Time back per person
    up~6 hrs/wk

  • Testing & compliance

    Lab dips, test reports and certifications complete before goods leave the factory

    Exception to owner
    DaystoMinutes
    Resolved without escalation
    85%

  • Shipments & delivery

    Shipments tracked from factory to warehouse, with alerts before a window slips

    Late deliveries
    down27%

  • Leadership

    Every season, factory and brand; the cause, not the symptom

    Live exposure total
    Per season

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

Sample approval turnaround

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 styles lose time before production?

Let’s explore the coordination between samples, suppliers and production approvals, and where Varolio could helpLet’s explore samples, supplier updates and production approvals

Find your first AI opportunity

No systems need to be connected for the first conversation