MAP Monitoring and Brand Protection
Minimum advertised price monitoring becomes impractical when staff have to check reseller listings by hand. We build automated brand-protection workflows that scan reseller pricing on a recurring schedule, compare it with each item's MAP agreement, flag the exact difference, and filter secondhand or unrelated results that would otherwise create false positives.
The scope, and what has to get right.
- Scheduled reseller-price monitoring. Automated checks run across reseller listings on a recurring schedule rather than relying on occasional manual searches.
- Item-level MAP comparison. Observed pricing is compared with the minimum advertised price stored for the relevant item.
- Violation detail. Flags preserve the exact price difference so the brand team can review what was found and why it was classified as a violation.
- False-positive filtering. Keyword rules suppress secondhand or unrelated listings that should not be treated as a violation.
Inside the system, not bolted on.
MAP rules live with product data
Monitoring uses the same item records and pricing rules the business already maintains rather than a disconnected list.
Automation runs continuously
Recurring jobs perform the repetitive price checks without requiring a person to search every reseller manually.
Reviewable exceptions
The workflow surfaces suspected violations and the comparison behind them so a person can act on evidence rather than a black-box score.
Multi-marketplace ERP, EDI and logistics automation for a US consumer electronics brand
- Reporting, royalties and MAP monitoring: A self-service reporting engine with saved templates, exports and scheduled email covers sales, inventory, purchasing and royalty or commission reporting for licensed brands. An automated monitoring process checks reseller listings for MAP violations and flags them.
- Every channel in one order queue: Amazon Vendor Central and Seller Central (SP-API), Walmart, HSN, QVC, Costco, several Shopify storefronts, eBay and direct wholesale accounts land in one system. Vendor Central purchase orders are accepted or rejected back to Amazon from the same screen that shows system, 3PL and allocated stock.
Real failure modes, and how they get diagnosed.
- Manual reseller checks cannot cover the catalog By the time a person revisits the same item, pricing may already have changed across several sellers.
- Search results produce too many false positives Secondhand, unrelated or ambiguously named listings need keyword filtering before they reach the review queue.
- MAP evidence is disconnected from product records A spreadsheet of violations quickly drifts away from the item and agreement data that explains the threshold.
Common questions.
What does the monitoring compare?
It compares live reseller pricing with the minimum advertised price stored for the corresponding item and flags the exact difference.
How are false positives handled?
Keyword filtering can suppress secondhand or unrelated listings before they enter the review queue, based on rules supported by the product catalog.
Does the system enforce MAP automatically?
The documented capability monitors and flags violations. It gives a brand team reviewable evidence; it does not invent or automate an enforcement action.
Can monitoring be connected to an existing ERP?
Yes. Our implementation runs as part of a broader ERP where product, reseller and pricing data already live.
Where this connects.
How much of the reseller market are you checking by hand?
Tell us where MAP pricing is stored and how violations are reviewed today, and we will map the automation around it.