All solutions
Book a demo

Industry pack · Retail

Match every deduction to the proof. Dispute it inside the window.

Agents match each retailer deduction to the PO, invoice, ASN, BOL, scale ticket and signed POD, catch duplicates, and draft a cited dispute. A named analyst signs. Shown for Brightfield Foods, a fictional supplier.

Book a demo Open the live demo

Brightfield Foods (fictional supplier) · fictional names, simulated data

Deduction view with evidence match and duplicate card (simulated data) Simulated data
  1. DeductedShortage, 214 cases, $12,860
  2. MatchedSigned POD, all 1,284 cases
  3. DuplicateSame claim deducted twice
  4. Signed$25,720 in dispute

The problem

Deductions arrive faster than anyone can check them.

Retailers deduct for shortages, damages, pricing and compliance straight from remittances. The proof that a shipment arrived complete exists, but it sits across five systems, and each dispute window keeps running.

  1. 01

    Evidence in five places

    PO, invoice, ASN, bill of lading, scale ticket and signed proof of delivery live in different systems and portals.

  2. 02

    Duplicates slip through

    The same claim can be deducted again on a later remittance and look like a new line.

  3. 03

    Windows close quietly

    Dispute windows vary by retailer. Disputes filed late are lost regardless of merit. Windows in the demo are illustrative.

How it works

Five agents do the matching. An analyst signs.

The healthcare pattern applied to deductions, on the ThoughtShieldAI platform, with Nexus policy checks and Pulse cost on every dispute.

  1. Deduction Sentinel

    Opens a case for each deduction line as remittances and claim backup arrive.

  2. Evidence Matcher

    Matches PO, invoice, ASN, BOL, scale ticket and POD, and predicts validity with confidence.

  3. Dispute Drafter

    One cited package per case; duplicates are disputed together.

  4. Analyst signs

    Submit stays locked until every citation is opened, under policy P-01.

    Human step

  5. Escalator

    Red and amber bands for windows closing; proposes, and a named human approves.

  6. Ledger & prevention

    Recovered, in dispute and valid deductions, with root causes routed to an ops owner.

The human approval

Maya Okafor · Senior Deductions Analyst (fictional)

Opens all eight citations, signs, and submits to the retailer portal. Valid deductions go to prevention instead.

The scenario

A $12,860 shortage that was really a duplicate.

Deduction DED-40718 at Brightfield Foods, a fictional supplier, from Crestmart, a fictional retailer.

  1. 01

    Caught on arrival

    Claim backup posts 21 days into a 30-day window. The Deduction Sentinel opens DED-40718: shortage, $12,860, 214 cases on PO 4500-88213.

    Deductions inbox with the hero deduction caught (simulated data) Simulated data

  2. 02

    The proof, and a second deduction

    The BOL shows 38,520 lb, the scale ticket 38,410 lb, and the POD is signed for all 1,284 cases with no exceptions: invalid at 96%. The same claim was deducted again on a later remittance as DED-40731.

    Deduction view with evidence match and duplicate card (simulated data) Simulated data

  3. 03

    One package, eight citations, one signature

    The Dispute Drafter streams one package for both deductions. Maya Okafor opens all eight citations and signs under policy P-01, with nine days left.

    Dispute composer with analyst signature (simulated data) Simulated data

  4. 04

    The ledger counts it

    $25,720 moves to In dispute, linked back to the evidence. The model cost of the dispute is $0.39.

    Recovery ledger showing the amount in dispute (simulated data) Simulated data

  5. 05

    The quarter at a glance

    Open dollars, predicted invalid, recovered quarter to date, win rate and days to dispute, by retailer and type.

    Deduction recovery overview (simulated data) Simulated data

Governance and lineage

From source data to outcome, every link kept.

The decision chain behind this scenario, as ThoughtShieldAI records it. Each step can be opened in the live demo.

  1. Source data

    Remittance RA-0093107, claim backup SC-66120, PO, invoice, ASN, BOL, scale ticket, signed POD

  2. AI recommendation

    Evidence Matcher: invalid at 96%; duplicate DED-40731 found

  3. Agent collaboration

    Dispute Drafter: one package, 8 citations; Nexus policy checks pass

  4. Human approval

    Maya Okafor, Senior Deductions Analyst, opens 8 of 8 and signs (P-01)

  5. Execution outcome

    Submitted to the retailer portal; $25,720 in dispute; $0.39 model cost

Atlas

Evidence lineage

Each ledger entry links back to the documents that justify it.

Nexus

Nine policies

Named analyst signature before submit; escalations proposed by agents, approved by people.

Pulse

Cost per dispute

Model spend by agent, and the cost of each dispute package.

Security

Hashed audit trail

Every match, draft, citation opened and signature, with hashes.

Live demo

Play it yourself.

The full Retail Deduction Recovery app runs right here, offline, with simulated data. Press Play demo for the guided scenario (about 68 seconds), or click around freely. Reset is in the top bar.

/demos/retail/overview Simulated data Open in new tab (opens in a new tab)
Open the live demo

Designed for screens 1280 px and wider. On a phone it opens full screen.

Outcomes

What the scenario changed.

$25,720
in dispute from one shortage claim
1
duplicate deduction caught
9 days
to spare before the window closed
$0.39
model cost of the dispute

SimulatedSimulated outcomes for a fictional supplier. Not a customer result.

Questions buyers ask first

Does it submit disputes automatically?

No. A named analyst opens every citation and signs before anything is submitted to a retailer.

What about deductions that are valid?

They are accepted and routed to prevention, where the root cause (for example, short-ships from one DC) is assigned to an ops owner.

Are the retailers real?

No. Brightfield Foods and the retailers in the demo are fictional, and dispute windows are illustrative.

Is the data real?

No. It is simulated and deterministic, and the demo makes no network or model calls.

See it on your own workflow.

A 30-minute walkthrough of the live demo, then a conversation about the agents, data and approvals in your environment.

Book a demo Open the live demo

Opens an email to hello@anvevoice.app

More from ThoughtShieldAI