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Marketplace trust & safety catalog management solution: Keyword extraction & identification safety system (KEISS)
FILLING
Thursday May 28, 2026 14:00 - 14:30 CEST
🤖 DATA/AI ARENA
Limited Capacity filling up
This initiative introduces a robust, Python-based Generative AI solution engineered to safeguard a 18-million SKU marketplace from regulatory and brand safety risks. By automating the detection of non-compliant products and offensive content, this tool replaces inefficient manual keyword searches with a highly scalable, semantic validation engine.

The Challenge: The "Scale vs. Safety" Gap Following a massive catalog expansion in 2025, the organization experienced a surge in "Out of Scope" (OOS) listings. While illicit goods are centrally managed, two critical operational gaps emerged:

- Strategic Misalignment: Non-core products (e.g., smartphones, toys, or food) infiltrating a specialized DIY/Home Improvement marketplace.
- Brand Safety: Offensive content and hate speech hidden within product titles and descriptions.
- Inefficient Current State: Local Business Units (BUs) relied entirely on manual, unscalable keyword searches within the Mirakl platform to police the catalog.

The Solution: Hybrid AI Auditing Architecture To address these challenges, we developed a dual-approach architecture combining automated catalog screening with ad-hoc auditing tools:

1. Proactive Pipeline (Catalog-Wide Screening): A comprehensive, custom-built tool designed to validate the health and compliance of the entire country-level catalog, encompassing both published and pending (pre-publication) selection. This background process operates through a robust four-step automated workflow:
1.1 Initial Selection Filtering: Executes a broad sweep across the entire BU and supplier catalog, utilizing Regular Expressions (RegEx) and country-specific rules to rapidly identify and isolate products that are potentially Out of Scope (OOS).
1.2 Semantic Context Analysis: Leverages Vertex AI to conduct deep Natural Language Processing (NLP) on the isolated items. It evaluates full product titles and descriptions to understand their true semantic context (e.g., accurately distinguishing a prohibited "smartphone" from a permitted "smartphone repair tool").
1.3 OOS Classification: Categorizes the analyzed products with high precision, definitively flagging non-compliant items and separating them from legitimate, brand-safe merchandise.
1.4 Automated API File Generation: Seamlessly operationalizes the decisions by automatically generating ready-to-upload files (via API integration), eliminating manual data manipulation and enabling immediate catalog updates.

2. Reactive Pipeline (Targeted Auditing App): A custom Streamlit-based web application that empowers non-technical users to conduct deep, ad-hoc catalog audits through a four-step automated workflow:
2.1 AI Query Expansion: Leverages Gemini (Vertex AI) to dynamically expand a single seed keyword (e.g., "Barbie") into a comprehensive cluster of related terms (e.g., "dolls", "toys") to capture evasive listings.
2.2 Live Search Analysis: Audits front-end webpage results, capturing and evaluating exactly what the customer sees in real-time.
2.3 Semantic Validation Engine: A hybrid verification step combining BigQuery product data with Gemini’s Natural Language Processing (NLP) to ensure the product aligns with the BU’s strategic scope.
2.4 Operationalized Outputs: Automatically generates actionable files, including a Mirakl-formatted auto-rejection list for zero-GMV items, alongside a prioritized manual review queue for high-risk, revenue-generating products.

Impact & Current Results: The implementation has successfully transitioned the business from reactive compliance to proactive risk mitigation:
- Scale at Speed: Processes 274 SKUs per minute (approx. 3,300 SKUs in 12 minutes).
- Proven Output: To date, the system has screened 178,000+ products, analyzed 1,641 risk keywords, and successfully delisted 46,000+ non-compliant items.
- Precision & Revenue Protection: Maintains a False Positive Rate (FPR) of
Speakers
avatar for Mattia Mangia

Mattia Mangia

Global Catalog Project Manager | Process & Automation, ADEO Services
Engineer. Designer. Maker. From Enterprise HQ buildings, Data Center, Hospitals Design to custom electronics and fine art, I bridge the gap between informatics and aesthetics. To me, the world is a series of complex projects, and my mission is to manage and deliver them with technical... Read More →
avatar for Jamal Attalbi

Jamal Attalbi

Head of Product, Tech & Catalog - Adeo Marketplace, ADEO Services

avatar for Maria Alexandra Ovalles

Maria Alexandra Ovalles

Senior Project Leader- EU Catalog Automation and Animation, ADEO

From Santo Domingo, Dominican Republic. Marketer at heart, now driven by data architecture and process optimization.Transitioned from branding and TV commercials to SQL, Python, and workflows.Proven track record in E-commerce giants: Glovo, Amazon, and LMES.


... Read More →
avatar for Javier Mena

Javier Mena

Catalog Integation Team Leader, ADEO Services
- From San Salvador, El Salvador
- Catalog Integation Team Leader at AMS for +3 years, based in Madrid
- Previous ecommerce experience and background at ManoMano and Amazon
- Hobbies: Sports, Traveling, AI, Music
Thursday May 28, 2026 14:00 - 14:30 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France
  Data / AI, Conference

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