Automated Data Enrichment
Turn unstructured PDFs, legacy spreadsheets, and supplier feeds into clean, structured PIM data using Generative AI pipelines.
The Data Bottleneck
Product information is often trapped in a chaotic mix of supplier price sheets, scanned technical drawings, and inconsistent spreadsheets. Manually cleaning this data to launch an e-commerce portal takes months, creates significant error risk, and stalls your digital transformation.
The AI Accelerator
We deploy high-speed GenAI pipelines that automatically extract technical specs, normalize attributes, and tag images. By treating data cleanup as an automated process rather than a manual chore, we help you achieve "PIM-readiness" in weeks rather than years.
Automated Data Pipelines
PDF Spec Extraction
Utilize LLM-powered OCR to pull technical attributes, dimensions, and compliance data from unstructured engineering PDFs and manuals.
Attribute Normalization
Automatically standardize variations in product data (e.g., "3/4 inch," "0.75 in," and "3/4\"") into a single, clean format for PIM consumption.
Intelligent Image Tagging
Deploy computer vision models to automatically categorize product photography, identify components, and apply SEO-friendly alt-text.
Achieving High-Fidelity PIM Readiness
Most PIM implementations fail not because of the software, but because the source data is too "noisy" to be useful. Our enrichment service uses Generative AI to bridge that gap. We ground Large Language Models (LLMs) in your specific technical domain—whether that's heavy machinery, industrial electronics, or building materials—to ensure the extracted data is technically accurate.
This automated approach handles the thousands of SKU variants that typically paralyze a marketing team. We build a continuous pipeline: as new supplier sheets or technical updates arrive, the AI processes and flags anomalies for human review, maintaining a "living" catalog that stays accurate as your products evolve.
Standardizing the Complex SKU
Manufacturing data is notoriously messy. A single part might be described five different ways across five different departments. Our normalization logic maps these colloquialisms and shorthand versions into a standardized technical schema. This is the foundation required for effective **Intelligent B2B Search** and automated cross-referencing.
- Mass normalization of legacy spreadsheet units and measurements.
- Automated extraction of "Hidden Attributes" from product descriptions.
- Categorization of unstructured supplier feeds into your master taxonomy.
Digitize Your Catalog Instantly
Stop the manual data entry cycle. Schedule a technical audit of your legacy data and see how an AI enrichment pipeline can accelerate your portal launch.
Book a Data Audit