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Agentic AI Solutions

AI Agents That Close the Loop in Retail Operations

From procurement exceptions to trade fund recovery, these agents don't flag problems for humans to solve — they reason, act, and close the loop autonomously.

The Real Problem

Retail operations generate thousands of exceptions, disputes, and time-sensitive decisions every week. Existing platforms surface them — but they don't resolve them. The gap between a flag and a closed loop is where margin leaks, deals slip, and teams burn out.

Agent 01Procurement Operations

PO Exception Management Agent

Category managers spend 45–90 minutes per exception cross-referencing contracts, emailing suppliers, and updating the ERP. With 300–600 exceptions weekly, the backlog is permanent. Low-value exceptions get rubber-stamped; critical ones get delayed. Stockouts happen while the queue grows.

What the agent does
  • Reads incoming EDI 856 / 810 data and flags deviations against live PO terms
  • Retrieves supplier contracts to identify applicable SLA clauses and penalty triggers
  • Scores urgency against real-time inventory levels and sales velocity
  • Auto-resolves low-risk exceptions with ERP notation; escalates nothing that doesn't need a human
  • Drafts and sends supplier cure requests; follows up autonomously if unanswered at 24h / 48h
  • Simultaneously engages alternate approved suppliers for high-urgency exceptions and requests quotes
  • Logs all reasoning and actions in the ERP audit trail for full traceability
$800K – $1.6M
Year 1

Labor savings (2–4 FTE freed) + stockout reduction on affected SKUs for a $500M retailer

PO Exception Management Agent
01
Agent 02Loss Prevention

Returns Fraud Investigation & Resolution Agent

Fraud scoring tools (Forter, Signifyd) give you a risk number. Someone still decides what to do — then communicates it, updates the OMS, and flags fraud rings. That orchestration layer doesn't exist in any product. Analysts review 20–40 cases per day. The queue always wins.

What the agent does
  • Pulls a 360° evidence package: full purchase/return history, device fingerprint, loyalty tier, payment method
  • Identifies non-obvious signals: first return after account dormancy, claimed defective with zero prior support contact
  • Assigns a disposition: auto-approve, deny, offer store credit, request documentation, or flag for escalation
  • Executes the disposition in the OMS and triggers a context-calibrated customer communication
  • Adjusts tone automatically: empathetic for high-LTV customers, neutral for moderate risk, firm for confirmed fraud
  • Aggregates confirmed patterns across accounts into a fraud ring report for the loss prevention team
$2.5M – $4M
Annually

Fraud recovery + false-positive reduction (retained high-LTV customers) for a $500M retailer

Returns Fraud Investigation & Resolution Agent
02
Agent 03Trade Finance

Trade Promotion Fund Reconciliation Agent

Retailers leave 15–25% of valid supplier deductions uncollected because the dispute cycle outlasts team bandwidth. Finance teams spend months on reconciliation. Disputes expire unchallenged. For a $1B retailer, that can be $5–15M walking out the door annually.

What the agent does
  • Ingests post-promo POS scan data and maps it against planned promotional events in the TMS
  • Reads supplier trade agreements — including PDFs and email threads — to extract funding rates and compliance terms
  • Calculates accurate billback amounts per event, per supplier, per SKU
  • Submits formatted deduction claims via the supplier's preferred channel: EDI 844/849, portal API, or email
  • Monitors for acknowledgment; follows up automatically at 14 / 30 / 45-day intervals
  • On dispute: retrieves the supplier's objection, prepares an evidence-backed counter-response, submits it
  • Escalates to a human trade finance manager only when a dispute exceeds $50K or 60 days unresolved
$5M – $15M
Annually

Uncollected deduction recovery for a $1B retailer — one of the highest-ROI agent use cases in retail

Trade Promotion Fund Reconciliation Agent
03
65%
PO exceptions resolved autonomously
without category manager involvement
15–25%
of trade deductions previously uncollected
now systematically recovered
$4M+
average blended annual ROI
across all three agent workflows
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