The Client Story
A leading U.S. law firm approached GroupBWT on behalf of its sportswear client. The brand needed to track unauthorized sellers across Amazon, Google Shopping, and European marketplaces. Their internal monitoring tools produced inaccurate outputs, allowing MAP violations to pass unaddressed.
The brand faced regulatory and commercial risks. Channel conflicts escalated when unauthorized sellers undercut price floors. Legal action stalled without reliable, structured evidence.
| Industry: | Legal services / Retail |
|---|---|
| Cooperation: | Since 2022 |
| Location: | USA and Europe |
“Our internal monitoring system failed to separate valid from unauthorized listings. Each investigation slowed because analysts spent hours verifying data manually.”
— Compliance Director, Global Sportswear Brand
“Monitoring cycles were inconsistent, and data outputs lacked reliability. Legal teams could not act quickly without trusted evidence for MAP violations.”
— Executive Vice President, U.S. law firm
The Compliance Monitoring Challenge
Marketplace monitoring requires precision in matching products to listings. Many listings lack full identifiers such as GTIN or EAN. Without them, products cannot be classified with certainty. Executives face a choice: accept partial matches with higher noise or enforce strict matching rules that reduce coverage but protect legal defensibility.
GroupBWT framed the problem as one of confidence levels. The monitoring system had to deliver structured evidence that could withstand legal review while minimizing the manual workload.
Architecture for Accuracy and Continuity
GroupBWT’s engineers built a two-layer system. For Amazon, a dedicated scraper identified products through GTIN and EAN patterns, then extracted ASIN-level data to map seller offers. For Google Shopping, APIs from popular data providers provided structured outputs resilient to layout changes and bot defenses.
The solution applied a tiered logic:
- Exact identifiers: GTIN or EAN matches ensured the highest confidence.
- Attribute-based validation: title, color, and size alignment confirmed secondary matches.
- Confidence scoring: vector similarity ranked near matches for optional manual review.
Structured CSV outputs were delivered to S3 storage, filtered for duplicates, and aligned with predefined product lists. The system ran on monthly cycles with location-specific proxies to capture regional pricing accurately.
Enforcement requires trust in the data. We engineered matching rules that cut noise and delivered evidence legal teams could act on.
Reliable Evidence for Legal Action
The monitoring system created a defensible, audit-ready data flow. While not every ambiguous listing could be classified, the architecture achieved:
- High-confidence matching for priority GTIN/EANs.
- Reduced manual review hours by over 40%, freeing legal analysts for case preparation.
- Scalable monitoring cycles with minimal maintenance, supported by automated error alerts in Metabase.
The client’s legal team gained confidence that unauthorized sellers could be flagged and acted upon without delay.
For the brand, compliance moved from reactive to proactive, reducing revenue leakage and protecting the pricing strategy.
Request Compliance Monitoring Consultation
GroupBWT engineers design monitoring systems that balance accuracy with continuity. Enterprises requiring compliance-ready data flows can rely on architectures that withstand legal scrutiny and scale across marketplaces.
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