Policy-Based Price Matching
Compare each observed advertised price with the correct threshold for the matched product and policy period.
- SKU-level policy rules
- Variation-specific thresholds
- Policy effective dates
- Multiple policy versions
Find below-policy listings before discounting spreads. Kvetoiq connects each potential violation to the right product, seller, policy rule, and timestamped evidence so your team can review and respond with confidence.
Manual checks miss short-lived offers, changing seller identities, product variations, and repeat incidents. By the time a team confirms the listing, the evidence may be gone and other sellers may already have reacted.
MAP violation detection compares publicly advertised product prices with the applicable Minimum Advertised Price thresholds supplied by a brand or manufacturer.
A flagged listing is a potential policy exception for authorized review. It is not, by itself, a legal determination or automated enforcement decision.Kvetoiq connects catalog matching, policy rules, seller information, listing observations, and evidence records so each incident reaches the right team with the context required for review.
A connected compliance toolkit built around four operational stages, not a collection of disconnected monitoring features.
Compare each observed advertised price with the correct threshold for the matched product and policy period.
Identify listings that appear inconsistent with the MAP thresholds and rules supplied by your team.
Evaluate offer structures that basic price checks frequently misunderstand or overlook.
Connect each potential violation with the seller, storefront, retailer, and marketplace responsible for the offer.
Map marketplace listings to the correct products despite inconsistent titles, identifiers, and variations.
Observe applicable listings across marketplaces, retailers, distributors, and approved ecommerce sources.
Preserve the listing context your team needs to review a suspected policy exception.
Understand patterns in seller behavior instead of treating every incident as an isolated listing.
Turn individual records into clear summaries for channel reviews and internal reporting.
Notify the appropriate team when a new, recurring, or commercially important incident requires attention.
Organize potential violations in a structured queue for accountable human review and follow-up.
Send monitoring records into the compliance, analytics, or operating systems your teams already use.
Each stage protects the context needed for a reliable compliance workflow.
Products, identifiers, thresholds, and effective dates.
Connect listings, variations, offers, and sellers.
Collect advertised prices on an agreed schedule.
Apply product and policy-specific review rules.
Validate the record and preserve source evidence.
Send prioritized alerts to responsible teams.
Record review status, resolution, and recurrence.
A price difference alone is not enough. Kvetoiq can preserve the listing, seller, product match, policy threshold, observation time, and supporting source details required for a responsible review.
Rank incidents using commercial impact, recurrence, seller context, evidence completeness, and policy variance so teams can focus on what matters first.
Material policy gap on a priority product from a recurring or high-reach seller.
A validated rule match that needs human review before follow-up.
A short-lived, ambiguous, or lower-impact offer that may become important.
A reviewed incident preserved for recurrence and seller behavior analysis.
Identify seller and listing patterns that may undermine channel policy or brand value.
See where marketplace offers create price pressure across important products.
Support reseller conversations with consistent product, seller, and incident records.
Review organized evidence and policy context before deciding on appropriate action.
Connect recurring channel behavior with products, markets, and commercial priorities.
Understand compliance patterns, seller recurrence, and resolution progress over time.
Coverage is scoped around your catalog, policy, business purpose, selected markets, and technically eligible public sources.
Observe applicable product offers, marketplace sellers, variations, and advertised prices.
Explore Amazon data →Track eligible marketplace and retailer listings with seller and offer context.
Explore Walmart data →Build custom monitoring for approved retailer, dealer, distributor, and category websites.
Explore custom extraction →Choose the delivery method that fits your review process, analytics environment, and internal ownership model.
Kvetoiq evaluates source availability, legitimate business purpose, proportionality, source conditions, collection frequency, and data-handling requirements before production monitoring.
MAP violation detection compares publicly advertised product prices with the applicable Minimum Advertised Price thresholds supplied by a brand or manufacturer. Listings that match defined exception rules are routed for review.
MAP is a policy threshold for the advertised price of a product. MSRP is a manufacturer suggested retail price. They serve different purposes and should not be treated as interchangeable fields.
No. A detected price difference is a potential policy exception. Product matching, policy dates, seller context, promotions, bundles, location, and other factors may require authorized human review.
Depending on source eligibility and project scope, monitoring can cover major marketplaces, retailer websites, distributor listings, dealer websites, direct stores, and category-specific commerce platforms.
Seller names, storefront URLs, seller identifiers, fulfilment context, and authorization status can be included when displayed or supplied for matching.
Evidence records can include listing screenshots, source URLs, collection timestamps, advertised prices, policy thresholds, product matches, sellers, and relevant offer context.
Yes. Monitoring rules can account for displayed coupons, strike-through discounts, bundles, multipacks, shipping context, and other observable offer structures when required.
Products can be matched using quantity and pack-size attributes. Applicable comparison rules are then agreed with your team so the monitoring logic reflects the supplied policy.
Yes. Observed sellers can be compared with an authorized seller list supplied by your team, allowing unknown or unauthorized sellers to be routed into a separate review workflow.
Frequency depends on catalog size, channel volatility, source behavior, geographic scope, technical feasibility, and how quickly your team can review and respond to alerts.
Yes. Delivery options can include APIs, webhooks, CSV, Excel, JSON, cloud storage, databases, warehouses, and business intelligence systems.
Kvetoiq provides monitoring data, potential violation detection, evidence records, and workflow support. Your authorized internal or external advisors determine whether and how a policy should be enforced.
Useful inputs include your product catalog, identifiers, MAP thresholds, policy effective dates, authorized seller list, priority channels, monitoring frequency, alert rules, and preferred delivery method.
Share your catalog, MAP thresholds, authorized sellers, priority marketplaces, and review requirements. Kvetoiq will map the monitoring, evidence, and delivery workflow for your program.
Share the platforms, categories, competitors, SKUs, regions, or business questions you care about. KVETOiQ will help define the right data strategy, output format, and operating cadence.
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