Improving e-commerce product data with AI

Summary

A major e-commerce brand in the Benelux faced a recurring problem with incomplete and inconsistent product information. Titles were uneven, descriptions were often incorrect or sparse, images were limited, and filters were out of sync across product families. These content gaps created search issues, reduced conversion, slowed internal workflows, and led to unnecessary returns. The retailer needed a reliable way to raise catalog quality at scale without increasing manual effort.

WeAreBrain built the first working prototype of an AI-driven enrichment engine using the PowerSuite.ai stack. This setup improved product data completeness, fixed inconsistencies, generated high-quality content automatically, and prepared the path for richer images and product relationships.

Client challenge

• Product titles that varied in tone and structure.
• Descriptions that were often inaccurate or lacked keywords.
• Limited product imagery and inconsistent ordering.
• Filtering attributes missing across similar items.
• Weak Google visibility unless branded search terms were used.
• Slow updates caused by supplier dependency and PIM bottlenecks.

These issues directly affected sales, SEO, customer trust, and internal efficiency.

Opportunity

Stronger product data would raise conversion and reduce returns. It would also cut PIM workload and speed up the onboarding of new products. The retailer saw clear upside in using AI to enrich content consistently and automatically.

Solution approach

PowerSuite AI, is a SaaS platform focused on product catalog enrichment such as:

• Automated product classification.
• Attribute cleaning and enrichment.
• Generation of titles, descriptions, translations.
• Image improvement workflows.
• Identification of product variants and related items.

The platform required no initial model training, offered simple API integration, and could adapt to the retailer’s taxonomy and rules.

What we delivered

This was delivered in collaboration with our partner:

• API integration between the retailer’s stack and PowerEnrich.
• Preparation of the full catalog for targeted fine-tuning.
• A direct link between the AI layer and the retailer’s product admin console.
• A unified internal interface for managing and approving enriched content.

Impact

• Manual Effort Reduction: ~90% reduction in manual effort for creating product titles and descriptions.
• Efficiency: Time spent per item improved from 20 minutes down to 2 minutes.
• AI Coverage: ~40% of titles and descriptions are enriched and optimised by AI.|

This prototype shows how AI can raise catalog quality in a practical, scalable way. By connecting PowerSuite.ai to the retailer’s systems and designing a simple approval layer, WeAreBrain created a path to clean, consistent, SEO-ready product information with minimal manual work