AI Accelerator for Data Quality and Governance – Automating the Full Item Data Lifecycle for a Leading Home Furnishing Marketplace

About Client

The client is one of the world’s largest online home furnishing marketplaces, hosting millions of SKUs from thousands of suppliers. They needed an automated, intelligent system to improve product data quality, reduce manual clean-up, and ensure consistent taxonomy for marketplace syndication.

The Challenge

Managing and maintaining high-quality, standardized item data at marketplace scale was difficult, leading to poor search visibility, duplicate listings, and inconsistent product experiences.

Millions of SKUs with inconsistent attributes and taxonomies
Duplicate and incomplete product records across supplier feeds
Manual data cleansing and classification processes
Inaccurate mapping to marketplace categories and attributes
Fragmented validation workflows with limited automation
Delayed item onboarding and poor content governance

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The Solution

Iksula implemented an AI-powered data governance and automation engine to manage the complete item data lifecycle — from ingestion to validation, enrichment, and publishing.

Developed AI/ML-driven deduplication and attribute extraction workflows
Automated taxonomy validation and category mapping using NLP- Image-to-attribute matching for visual consistency and content accuracy
Attribute enrichment engine auto-filled missing product details
Rule-based validation and governance for compliance and completeness
Automated publishing of cleansed data to marketplaces and internal PIMs

Business Metric Improvement

The automation transformed catalog management efficiency, delivering measurable gains in quality, consistency, and operational productivity across the product lifecycle.