Reduce manual validation
Move routine line matching from spreadsheets into a consistent business workflow.
CPG revenue operations · Solution brief
Validate retailer and ecommerce promotion claims against approved schemes, actual sales, eligible stores, SKUs, dates, rates, quantities, and supporting evidence—without relying on thousands of manual checks.
Exception-first review Teams focus on claims that need judgment—not every transaction.
Trade promotion claims automation is a controlled workflow that validates retailer claims against the approved promotion agreement and actual eligible sales activity. It brings together claim, scheme, store, SKU, date, rate, quantity, budget, invoice, and evidence data—then routes only exceptions for human review.
Move routine line matching from spreadsheets into a consistent business workflow.
Surface unsupported quantities, incorrect rates, duplicate claims, and invalid eligibility.
Prepare clearly supported claims for faster approval while isolating exceptions.
Record the source evidence, decision reason, approver, and final outcome.
The business challenge
After a campaign ends, the brand must prove that every claimed amount is supported by the commercial agreement and actual sales. Even with a DMS or ERP, reconciliation often spills into spreadsheets, emails, reports, and documents.
Agreements, claims, sales, invoices, masters, and approvals live in different formats.
Every retailer, store, SKU, date, quantity, and rate must be checked.
Commercial and finance teams match records instead of resolving exceptions.
Duplicates, wrong rates, ineligible stores, and excess quantities create risk.
Long cycles delay retailer payments and increase avoidable disputes.
Leaders lack one view of pending, disputed, and recurring claim issues.
The solution
Explore the six-stage flow. The solution works around your existing processes, systems, agreements, and approval policies.
Stage 01
Retailer or ecommerce claim files and supporting documents enter the workflow without forcing partners to adopt a new submission experience on day one.
Stage 02
The workflow connects claim lines with promotion agreements, store and SKU masters, sales records, invoices, campaign calendars, approvals, and historical submissions.
Stage 03
Retailer, store, SKU, transaction date, quantity, discount rate, budget, sales activity, and required evidence are evaluated against the approved commercial conditions.
Stage 04
Incorrect rates, excess quantities, duplicate claims, invalid dates, unsupported stores, missing documents, and budget breaches are flagged with the relevant evidence.
Stage 05
Commercial, finance, or audit teams receive only cases that are disputed, high-value, incomplete, unusual, or require approval under company policy.
Stage 06
Approved, adjusted, and rejected amounts are documented with the decision reason, supporting information, approver, and settlement status.
What the solution checks
Rules remain visible and business-owned. Expand each group to see what promotion claims validation can evaluate.
Illustrative claim
Select each unit group to inspect the evidence and see exactly why the recommended amount changes.
| Eligible product | Chocolate Cake, 500 g |
|---|---|
| Claimed quantity | 2,300 units |
| Discount claimed | ₹20 per unit |
| Total claim | ₹46,000 |
This example is illustrative and does not represent a client result.
Business outcomes
The goal is not automation for its own sake. It is a faster, clearer, evidence-backed way to protect working capital and retailer relationships.
Designed around your data
The claims workflow can operate alongside current operations and connect approved information from multiple sources.
Human oversight
Routine, clearly supported claims can be prepared faster. Unusual, disputed, high-value, or incomplete claims remain subject to human judgment and the company’s approval policy.
Management dashboard
Give finance, commercial, and leadership teams a shared view of claim volume, exceptions, value, cycle time, and recurring partner issues.
Illustrative portfolio
Illustrative interface and data only. A production dashboard is configured to each company’s claim structure, roles, metrics, and controls.
Why Sovereign SLM Labs
We begin with claims economics, rules, accountability, and evidence—then fit the technology to the operating environment.
Start with current claims, bottlenecks, commercial rules, approvals, and expected financial outcomes.
Work alongside DMS, ERP, documents, spreadsheets, and approval processes.
Keep agreements, pricing, retailer data, and financial records inside approved infrastructure.
Attach evidence, a decision reason, confidence, and the required approval path.
Fit the solution to the business and technology environment without unnecessary lock-in.
Support assessment, pilot validation, integration, rollout, monitoring, and improvement.
Pilot approach
A focused pilot can prove processing, control, and financial value before a wider rollout.
Frequently asked questions
It helps consumer-product companies validate retailer claims against agreed promotion conditions, eligible products and stores, sales activity, rates, quantities, budgets, and supporting documents.
Yes. It can use sales, invoice, retailer, store, and SKU information already available in the DMS while also reviewing claim files, agreements, and supporting records from other sources.
The business defines the approval model. Routine claims may be prepared for approval, while high-value, unusual, incomplete, or disputed claims can be routed to the appropriate person.
The approach can support discounts, markdowns, retailer schemes, visibility programmes, bundles, ecommerce campaigns, store-level promotions, and other agreed commercial programmes.
Yes. Claims can be checked against previous submissions, invoice references, sales transactions, store, SKU, date, quantity, and promotion details to identify potential duplication.
No. The solution can initially operate alongside existing processes and systems. A pilot identifies which steps should be automated and where human approval should remain.
Begin with one retailer, one promotion type, a defined set of SKUs, and historical claim data. This creates a measurable way to evaluate processing effort, accuracy, exceptions, and financial impact.
The next practical step
Start with one retailer, one promotion type, and a representative set of historical claims. Identify how much work can be automated, where discrepancies occur, and what value can be protected before wider rollout.