Structuring scientific equipment data from technical manuals
How a scientific-equipment distributor turned technical manuals into catalog-ready product data
A scientific-equipment distributor needed to build reliable product pages across a catalog of centrifuges, microscopes, sonicators, thermostats, and other specialist equipment. The source data was not organized in a clean supplier feed. It was buried inside multilingual manuals, datasheets, manufacturer websites, and incomplete folders.
Some manuals exceeded 1,000 pages and 67 MB. Product families also required different technical schemas: the attributes that matter for a centrifuge are not the attributes that matter for a microscope. Configurable products added another layer of complexity, with some centrifuges supporting 18–20 rotor options.
Claro was implemented above the distributor's existing systems as a document-first product-data workflow. It extracts technical specifications, connects documents to the correct products, validates each value with confidence and provenance, and prepares structured records for review and export into Odoo.
At a glance
Industry: Scientific and laboratory equipment distribution
Region: Europe
Operating model: Multi-brand technical distributor using Odoo
Scale: Approximately 600 products today, expected to grow to 1,000–1,200; 29 categories and 170 subcategories
Primary Claro workflow: Technical document extraction and product enrichment
The challenge
The distributor did not simply need more copy. It needed technically accurate records that could support product discovery, quoting, configuration, and publication.
Manual entry was slow and fragile. A person had to find the correct manual, determine which specification applied to which model, translate inconsistent terminology into a shared field, and avoid mixing values between similar products.
An early extraction pass produced more than 110 potential attributes. That demonstrated the amount of information available, but it also showed why unrestricted extraction is not enough. Each category needed a practical schema of roughly 15–30 core attributes that users could understand and maintain.
Why the existing approach was not enough
Generic document extraction could retrieve text, but it could not safely determine which values belonged to which product configuration or which attributes should appear in the catalog.
Web-only enrichment was also insufficient. Manufacturer pages were useful when client files were missing, but the distributor's own manuals were the preferred source because they were closer to the product record and easier to verify.
The workflow therefore needed source hierarchy, product-to-document matching, category-specific schemas, human review, and exports compatible with the distributor's operational stack.
The solution
Claro was configured as a PIM-like execution layer rather than a replacement for Odoo. Documents and product lists enter Claro, where technical content is extracted into category-specific fields.
Each extracted value retains its source, confidence, and review state. Reviewers can compare the proposed value with the supporting document before approving it. Product descriptions and supporting content can then be generated from the validated record rather than from unverified free text.
The final output can be delivered as HTML, spreadsheets, or Odoo-compatible XML, allowing the distributor to improve its catalog without rebuilding its core systems.
How the workflow works
Ingest product lists and documents — Claro receives product records, manuals, datasheets, and available manufacturer references, including very large and multilingual files.
Match documents to products — The system connects each manual or source to the relevant model and separates closely related configurations.
Extract category-specific specifications — Technical values are extracted against the schema required for that category rather than against one universal attribute list.
Validate confidence and provenance — Every proposed value includes its source and confidence. Uncertain values are routed to review instead of being published automatically.
Create catalog-ready content — Validated attributes are used to prepare structured specifications, descriptions, and product-page content.
Export into existing systems — Approved records are delivered through Odoo XML, HTML, or spreadsheet outputs and can be refreshed as new documents arrive.
Results and current status
The deployment established a repeatable route from unstructured technical documentation to usable catalog records.
It supports large-document processing, product-to-manual matching, category-specific attribute extraction, human review, and downstream exports. It also gives the distributor a practical way to grow from roughly 600 products toward a larger catalog without reproducing the same manual research for every item.
Because the workflow distinguishes verified data from generated content, teams can publish richer product pages while preserving the evidence behind technical claims.
Why this workflow matters
For technical distribution, enrichment is valuable only when the resulting attributes can be trusted. Document extraction, provenance, confidence, and review need to operate as one workflow rather than as separate tools.
Key takeaway
The project turned technical manuals from a publishing bottleneck into a structured data source. Claro provides the execution layer between source documents and Odoo, while the distributor keeps control over schemas, approvals, and final publication.
Frequently asked questions
Can Claro extract specifications from very large PDFs?
Yes. The workflow is designed to process large technical documents asynchronously and connect extracted values to the relevant product record.
How are incorrect or ambiguous values handled?
Each extracted value carries confidence and provenance. Values below the accepted threshold are routed to review instead of being written back automatically.
Does every product category use the same attributes?
No. Claro can apply a different schema to each category so centrifuges, microscopes, thermostats, and other products are evaluated against the fields that matter for that product type.
Does Claro replace Odoo or a PIM?
No. Claro operates above the existing system and prepares validated records for import, write-back, or publication.
Can the system generate product descriptions?
Yes. Descriptions are generated from the validated structured record so the content is grounded in approved technical data.
