Turn supplier chaos into trustworthy product data.
We build product-data pipelines that read supplier PDFs, spreadsheets, catalogs and complex specs, returning verified attributes with source confirmation instead of invented content.
What disappears from catalog work.
What becomes controllable.
What is an agentic PIM pipeline? A controlled product-data process where AI agents extract, verify, normalize and flag values instead of blindly generating descriptions. Technical details
Pipeline stages
- Collecting data from PDFs, spreadsheets, catalogs or supplier sites.
- Extracting attributes according to the given schema.
- Unit normalization, category mapping and duplicate checks.
- Evidence validation and human review of disputed fields.
Reliability rules
- No invented parameters when specs are missing.
- Required attributes are flagged, not skipped.
- Conflicting sources go to manual moderation.
- Exports are checked before loading into the working catalog.
Where it helps Best for product data repeated across many SKUs, suppliers, categories or languages. Technical details
Who it fits
Complex technical products, auto parts, heating and plumbing, electronics, industrial catalogs, multilingual e-commerce where spec errors cause returns.
Initial diagnostics
You can start with 20–50 product samples, 2–5 supplier documents, the required spec list and your desired export format.
Product data you can trust — confirmed, verified and clean.
OpsBalance builds agentic data pipelines that process supplier PDF specs, technical descriptions and raw catalogs to extract and validate product specs with strict original-source confirmation.
Data reliability vs manual catalog processing.
Regular catalogs are filled manually by content managers, which causes errors. OpsBalance replaces manual entry with structured AI pipelines.
| Operational parameter | Content managers / Assistants | OpsBalance agentic PIM architecture |
|---|---|---|
| Accuracy | Inconsistent (human factor in routine work) | 99.4% (thanks to cross-checks by AI agents) |
| Evidence and references | Missing (you must search files manually to verify) | Line reference linked to the original PDF |
| Catalog import speed | Slow (filling a supplier catalog takes days and weeks) | Minutes (automatic import, validation and export) |
| Schema changes | Requires manual rewriting of Excel tables | Flexible mapping via structured YAML files |
| Logical rule checks | Subjective judgment by a tired employee | Strict mathematical range checks (e.g., min < max) |
How product data flows through the pipeline.
Built for industrial catalogs and B2B distributors with huge volumes of complex technical specs.
Document upload
Technical datasheets, PDF catalogs, schematics or legacy databases are uploaded for review.
Agent extraction
AI agents split pages, extract attributes and bind source coordinates.
Logical rule checks
Independent AI agents check sizes, data formats and spec compliance.
ERP/CMS sync
Verified data is exported to your PIM, store database or search indexes.
Confidentiality and isolation of valuable product data.
We understand that specs and drawings are your valuable intellectual property. All data is processed in isolated sandboxes.
- No training on your catalogs: models run in an isolated context.
- A Fractional Operator's oversight ensures all parsing configurations meet industry standards.
- Results are validated for compatibility with PrestaShop and Akeneo PIM structures.
Automate your catalog loading.
Send us one complex product datasheet or a 10-item Excel table. We'll configure the extractor and return a clean structure with exact references.