Unauthorized Sellers
Identify sellers operating outside approved channel lists or appearing across unexpected marketplaces and regions.
Seller identity, authorization, historyKvetoiq monitors marketplaces, retailers, and digital commerce channels for unauthorized sellers, counterfeit-risk listings, pricing violations, and content misuse, then turns every suspected incident into structured evidence your team can review and act on.
Brand protection is the coordinated work of monitoring, detecting, investigating, documenting, and addressing misuse of a company’s products, identity, intellectual property, and authorized sales channels.
Kvetoiq specializes in the public commerce data and marketplace intelligence needed to support that work.Automated signals can reveal risk, but they should not silently declare infringement or counterfeit status. Kvetoiq separates observation, risk assessment, human validation, and enforcement decisions.
Every risk type uses different evidence, thresholds, and next actions. Kvetoiq keeps those distinctions visible.
Identify sellers operating outside approved channel lists or appearing across unexpected marketplaces and regions.
Seller identity, authorization, historyFlag suspicious product, seller, price, image, content, and fulfillment combinations for qualified review.
Product match, anomalies, recurrenceConnect observed offers to governed products and evaluate them against applicable pricing rules.
Observed price, policy contextSurface products sold through unexpected sellers, geographies, marketplaces, or distribution paths.
Market, seller, shipping originLocate visible brand terms, logos, and identity elements used in potentially unauthorized contexts.
Text, image, listing contextDetect reused product images, descriptions, claims, and branded content across monitored sources.
Image similarity, text overlapFind duplicate records, suspicious listing changes, and sellers attached to established product identities.
Listing history, identity conflictsMonitor coupons, bundles, product claims, and promotional language that may violate channel standards.
Offer terms, claims, timingOrganize observations by product, seller, marketplace, risk type, evidence status, and required action.
Observe relevant marketplaces, retailers, sellers, and digital commerce sources on an agreed schedule.
Capture seller names, profiles, ratings, locations, offers, fulfillment, and repeated appearances.
Connect each observed listing to the correct governed SKU, variant, pack, or product family.
Compare observed sellers with approved, restricted, or known channel records.
Prioritize cases using seller, product, price, content, geography, history, and evidence signals.
Connect recurring seller, listing, product, and marketplace activity over time.
Preserve the public fields required to review what was observed and when.
Group related observations into structured cases with evidence status and resolution fields.
Send qualified incidents to the team or system responsible for the next decision.
Deliver structured incident information for approved internal review and enforcement workflows.
Track open, reviewed, escalated, resolved, recurring, and dismissed incident states.
Measure incident volume, channel exposure, seller recurrence, review workload, and resolution trends.
Protected products, assets, policies, sellers, and channels.
Normalize product identities and authorized seller records.
Collect eligible public signals on the required schedule.
Find suspicious sellers, listings, prices, content, and patterns.
Check product, seller, policy, channel, and historical context.
Assemble evidence, timestamps, reasons, and conflicts.
Send qualified cases to the accountable team or system.
Monitor resolution, recurrence, and program trends.
A useful alert does more than announce a possible problem. It preserves enough public evidence for the next team to understand what was observed, why it was prioritized, and what still requires validation.
Risk scoring combines configurable evidence signals to help teams decide what should be reviewed first. It does not independently determine infringement, authenticity, or legal liability.
Compare observed sellers with approved channel records and prioritize unknown or recurring identities.
Combine product, seller, price, content, fulfillment, and history signals for qualified review.
Connect observed prices to the correct governed products and applicable policy rules.
Explore MAP Violation Alerts →Surface products appearing through unexpected sellers, territories, or distribution paths.
Find reused branded images, descriptions, claims, and product identity elements.
Watch prioritized channels for early listings, unauthorized promotions, and unexpected sellers.
Connect repeat appearances and shared seller attributes across monitored marketplaces.
Summarize exposure, severity, review workload, recurrence, and resolution by channel.
Coverage is scoped to your products, channels, geographies, and eligible public data.
Listings, offers, sellers, fulfillment, content, ratings, and availability signals.
Explore Amazon Data Scraping →Marketplace and retailer product, seller, price, content, and stock observations.
Explore Walmart Data Scraping →Brand, retailer, distributor, seller, and competitor storefront monitoring.
Explore Shopify Store Scraping →Product, seller, promotion, content, price, and engagement-related commerce signals.
Explore TikTok Shop Scraping →Marketplace listings, sellers, product content, pricing, ratings, and availability.
Explore Flipkart Data Scraping →Eligible app-visible product, seller, offer, and location-specific marketplace information.
Explore App Scraping →Custom monitoring for category-specific retailers, marketplaces, directories, and channels.
Explore Custom Data Extraction →Coordinated collection, validation, monitoring, and maintenance across broader source sets.
Explore Enterprise Crawling →Prioritize incidents, manage review, and track recurring channel risks.
Receive structured public evidence for qualified legal assessment and action.
Understand seller, pricing, listing, content, and promotion risks across channels.
Identify unauthorized distribution and recurring seller conflicts.
Validate listings, sellers, offers, and channel-specific operating conditions.
Apply documented rules and maintain traceable review and resolution records.
Connect incident data with warehouses, dashboards, APIs, and internal systems.
Track exposure, severity, workload, recurrence, and resolution trends.
Kvetoiq uses rules, product matching, seller intelligence, machine-assisted signals, historical context, and human review. A risk signal is not presented as legal proof, a guaranteed counterfeit determination, or an automatic enforcement decision.
Evaluate governed products against applicable pricing policies and observed offers.
Explore MAP Monitoring →Connect listings to the correct products before assessing seller, price, or content risk.
Explore Product Matching →Track current prices, promotions, seller offers, and historical price movement.
Explore Price Monitoring →Measure content, availability, ratings, sellers, and visibility across commerce channels.
Explore Digital Shelf Analytics →Brand protection is the coordinated monitoring, detection, investigation, documentation, and response work used to protect a company’s products, identity, intellectual property, reputation, and authorized sales channels from misuse.
Online brand protection focuses on digital channels such as marketplaces, retailer sites, stores, apps, domains, social platforms, and advertising environments. Kvetoiq specializes in public marketplace and ecommerce monitoring.
Programs can cover unauthorized sellers, counterfeit-risk listings, MAP and pricing violations, gray-market signals, trademark or logo misuse, content reuse, listing duplication, suspicious seller networks, and misleading offers.
Protected assets, products, approved sellers, channels, and rules are defined. Eligible public data is collected, product and seller identities are validated, suspicious observations are scored, evidence is assembled, and cases are routed for review.
Kvetoiq can compare observed sellers with approved or restricted seller records, normalize seller names, track repeated appearances, and route unknown or conflicting identities for review.
Public web data can reveal counterfeit-risk signals, but it may not conclusively prove authenticity. Kvetoiq presents observations, risk reasons, product matching, seller context, and evidence for qualified human assessment.
Priority can consider product-match confidence, seller authorization, price deviation, content similarity, geography, fulfillment, historical recurrence, channel rules, and evidence completeness.
Evidence may include source URLs, seller details, product identity, price, availability, fulfillment, images, descriptions, claims, ratings, promotions, timestamps, historical observations, reason codes, and review status.
Yes. Observed offers can be connected to governed products and evaluated against applicable MAP or pricing policies. Visit the MAP Violation Alerts page for the dedicated workflow.
Coverage can include Amazon, Walmart, Shopify stores, TikTok Shop, Flipkart, category retailers, mobile commerce apps, and other eligible public sources relevant to the program.
Product Matching connects each listing or offer to the correct SKU, variant, pack, or product family. This reduces false associations and ensures seller, pricing, and content risks are evaluated against the right product.
Yes. Approved, restricted, known, and internal seller records can be normalized and used to classify observed seller identities and route ambiguous cases for review.
Frequency depends on source behavior, risk priority, product volume, geographic scope, data fields, and program requirements. Monitoring can be scheduled around the business need and technical feasibility.
Yes. Qualified incidents and supporting data can be delivered through files, email workflows, APIs, webhooks, cloud storage, databases, warehouses, dashboards, or approved case-management integrations.
Kvetoiq provides monitoring, data, evidence organization, alerts, and workflow support. Legal classification, platform reporting, takedown requests, and enforcement decisions remain with the authorized brand, legal counsel, platforms, or approved enforcement partners unless separately agreed.
Kvetoiq combines product matching, seller normalization, brand-specific rules, channel context, historical evidence, confidence thresholds, conflict detection, and human review for ambiguous or consequential cases.
Location-aware monitoring may cover different countries, regions, cities, delivery areas, currencies, and marketplace contexts when the source and project scope support it.
Share the products and brand assets to protect, target channels, authorized sellers, applicable policies, priority risks, geographies, desired monitoring frequency, evidence requirements, and delivery workflow. Kvetoiq will scope a sample assessment.
Share your priority products, marketplaces, approved sellers, policies, and risk concerns. Kvetoiq will scope a focused Brand Risk Assessment and show how observations can become structured incident records.
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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