Industrial service provider enriches technical product catalog
The Challenge
A B2B industrial service provider maintained a large product catalog in their PIM system, but a significant portion of their product records suffered from incomplete or missing data. Many items lacked descriptions entirely, while others had only sparse technical attributes -- making it difficult for customers to find, compare, and purchase the right products.
The catalog included thousands of highly technical items: industrial fasteners, sealing solutions, tools, and maintenance supplies. Each product required accurate technical specifications, proper categorization, and descriptions that communicated both functional details and application context. Manual enrichment at scale was simply not feasible with the existing team.
- PIM system with widespread incomplete product data
- Technical products requiring precise, accurate descriptions
- Large catalog making manual enrichment impractical
- Customers unable to effectively search and filter products
Our Solution
TextBrew was deployed to systematically identify and fill gaps across the entire product catalog. The approach combined three capabilities:
Content discovery for gaps scanned the PIM system and flagged every product record with missing or incomplete descriptions, empty attribute fields, and inconsistent categorization. This gave the team a clear, prioritized backlog instead of an overwhelming spreadsheet.
Intelligent attribute mapping pulled available data -- such as manufacturer part numbers, material specifications, and dimensional data -- and structured it into standardized attribute sets. Where data existed in unstructured formats (PDF datasheets, supplier feeds), TextBrew extracted and normalized it automatically.
Technical content generation produced descriptions calibrated for a B2B audience: concise, specification-rich, and focused on application context. Descriptions answered the questions an industrial buyer actually asks -- what it is, what it is made from, what it fits, and when to use it.
Results Achieved
The PIM system reached 100% catalog coverage for the first time in the company's history. Every product now has a structured, accurate description with complete attribute data. The enrichment process achieved a 90% time saving compared to manual writing, and over 5,000 products were enriched in the initial rollout. Customer search and filtering accuracy improved immediately, with the sales team reporting fewer product-related inquiries because buyers could self-serve effectively.
Key Takeaways
Automated gap detection transforms catalog enrichment from a guessing game into a structured, prioritized workflow.
Technical B2B content generation requires specification-aware tooling that understands materials, dimensions, and application context.
Complete PIM data directly improves customer self-service and reduces the burden on sales teams for routine product questions.