Overview
Ecommerce businesses depend on accurate and complete product information to deliver exceptional customer experiences across websites, marketplaces, and digital commerce channels. However, onboarding thousands of new products from supplier catalogs, specification sheets, and product documents often requires significant manual effort, delaying product launches and increasing operational costs.
To accelerate product onboarding, a leading ecommerce retailer partnered with Rannsolve to implement rannsCDE Agentic AI. The platform intelligently extracted product information from multiple supplier document formats, enriched product attributes, and automated catalog creation, enabling the business to onboard products 70% faster while improving product data quality.
The Challenge
The retailer received product information from hundreds of manufacturers and suppliers in different formats, including product catalogs, technical specification sheets, PDFs, spreadsheets, brochures, and images. Merchandising teams manually reviewed these documents to extract product attributes, specifications, dimensions, pricing, certifications, and descriptions before publishing products online.
As the number of suppliers and SKUs continued to grow, the organization faced several operational challenges:
- Manual extraction of product attributes
- Inconsistent supplier document formats
- Delayed product onboarding
- Data quality issues across product catalogs
- High merchandising workload
- Slower time-to-market for new products
The retailer required an intelligent platform capable of transforming supplier documents into structured product data while integrating seamlessly with existing Product Information Management (PIM) and ecommerce platforms.
The Solution
The retailer implemented rannsCDE Agentic AI to automate product content creation from supplier documents. Using Multimodal AI, the platform interpreted catalogs, specification sheets, images, tables, and product brochures to extract detailed product attributes and standardize them for digital commerce.
Built-in AI Rule Generation automatically validated mandatory product fields, standardized attribute formats, and ensured catalog consistency before publishing. With support for 200+ document formats and seamless integrations with PIM, ERP, and ecommerce platforms, rannsCDE significantly accelerated product onboarding while reducing manual merchandising effort.
Business Impact
Key Capabilities Used
Intelligent Product Document Classification
Automatically classifies supplier catalogs, product specification sheets, brochures, price lists, technical documents, spreadsheets, and digital assets.
Multimodal AI Product Understanding
Extracts product titles, descriptions, specifications, dimensions, materials, certifications, pricing, images, and technical attributes from complex supplier documents.
AI Attribute Standardization
Automatically normalizes product attributes, validates mandatory fields, and standardizes product data to maintain consistent catalog quality across suppliers.
Intelligent Product Data Extraction
Captures structured product information ready for Product Information Management (PIM), ERP, ecommerce websites, and online marketplaces.
Enterprise Integrations
Seamlessly integrates with PIM platforms, ERP systems, ecommerce platforms, APIs, SharePoint, cloud storage, and enterprise repositories.
Operational Analytics
Provides real-time visibility into onboarding progress, processing volumes, extraction accuracy, and catalog completion status.
Results
With rannsCDE Agentic AI, the retailer transformed product onboarding into a highly automated, AI-driven process. Product information from multiple suppliers was converted into standardized, commerce-ready data, dramatically reducing manual effort and accelerating the launch of new products across digital sales channels.
Merchandising teams shifted their focus from repetitive data entry to product optimization and merchandising strategy, while the business improved catalog quality, reduced onboarding bottlenecks, and responded faster to changing market demands.
