The Challenge

The retailer faced major inefficiencies in catalog management and product data synchronization across suppliers, internal systems, and online marketplaces. These issues directly affected pricing accuracy, analytics reliability, and customer experience.

Key Challenges Included:

• Duplicate Listings:
  Identical products were listed under multiple SKUs, confusing inventory management and distorting sales insights.
• Catalog Mismatch:
  Supplier catalogs and marketplace listings were poorly mapped, resulting in incomplete or inconsistent product data across platforms.
• Manual Mapping Effort:
  Teams spent significant time manually aligning product titles, descriptions, and features, slowing down onboarding and updates.
• Pricing and Availability Errors:
  Frequent discrepancies in price aggregation and stock availability reporting led to loss of trust and potential revenue leakage.
• Inconsistent Analytics & Experience:
  Fragmented product data produced confused analytics and an inconsistent customer experience, weakening brand perception and decision-making accuracy.

Amantra's Generative AI Matching Engine

To address catalog duplication and data inconsistency, Amantra developed a Semantic Product Matching Engine powered by Large Language Models (LLMs) and embedding-based similarity algorithms. This intelligent, agent-driven solution brought structure, accuracy, and efficiency to product data management across channels.

How the Solution Works:

• Attribute Extraction & Comparison:
  The AI agent automatically extracts product attributes such as brand, model, specifications, and variants from multiple listings and compares them across data sources for alignment.

• Contextual Understanding:
  Using LLMs, the system understands semantic relationships — recognizing when two listings describe the same product despite variations in language, formatting, or vendor naming conventions.

• Duplicate Detection & SKU Consolidation:
  The agent flags duplicate entries, consolidates records, and auto-links SKUs across marketplaces, suppliers, and internal systems, ensuring a single source of truth.

• Seamless Integration:
  The engine integrates effortlessly with Product Information Management (PIM) systems and online marketplaces, maintaining data synchronization in real time.

• Unified Product Views:
  The outcome is a clean, unified product catalog with accurate details, pricing, and availability — driving consistent analytics and a superior customer experience.

Results

Testimonial

Why Product Matching Matters