Turn supplier chaos into trusted product records.
We build product-data pipelines that read supplier PDFs, sheets, catalogs, and messy specifications, then return checked attributes with source evidence instead of guessed content.
What disappears from catalog work.
What becomes controlled.
What is an agentic PIM pipeline? A controlled product-data workflow where AI agents extract, check, normalize, and flag values instead of blindly generating descriptions. View technical details
Pipeline stages
- Source ingestion from PDFs, sheets, existing catalogs, or supplier pages.
- Attribute extraction into a defined schema.
- Unit normalization, category mapping, and duplicate checks.
- Evidence validation and human review for uncertain fields.
Reliability rules
- No invented values for missing specifications.
- Required attributes are flagged, not silently skipped.
- Conflicting sources are separated for review.
- Exports are tested before import into a live shop.
Where this is useful Best fit is product data that repeats across many SKUs, suppliers, categories, or languages. View technical details
Good candidates
Technical products, automotive parts, HVAC, plumbing, electronics, industrial catalogs, multilingual e-commerce, and stores where wrong attributes create support or return costs.
First diagnostic
A first pass can start from 20-50 sample products, 2-5 supplier documents, your target fields, and the export format your shop or database expects.
Product data you can trust — grounded, cited, and clean.
OpsBalance builds agentic pipeline architectures that ingest supplier PDFs, technical datasheets, and raw catalogs to extract and validate structural attributes with strict citation proof.
Product data reliability vs manual sanitation.
Traditional catalog updates rely on expensive virtual assistants making manual entries. OpsBalance replaces human error with structured agentic pipelines.
| Operational Attribute | Traditional Manual Cleaners / VAs | OpsBalance Agentic PIM Architecture |
|---|---|---|
| Accuracy | Variable (high cognitive overload during boring tasks) | 99.4% (enforced by multi-agent audit loops) |
| Source Citation Proof | None (requires manual search to verify any value) | Line-Level Citation linked to original PDF |
| Onboarding Velocity | Slow (takes days or weeks to catalog new suppliers) | Minutes (ingests, validates, and exports automatically) |
| Schema Modifications | Requires manual retraining and Excel edits | Elastic mapping via programmatic YAML files |
| Rule Verification | Subjective checks by tired human staff | Strict mathematical check bounds (e.g. min > max voltage) |
How the PIM extraction process runs.
Designed for industrial catalogs and B2B distributors with massive, highly technical inventory datasets.
Document Ingestion
Supplier datasheets, PDF catalogs, drawings, or legacy databases are uploaded to the secure sandbox.
Agent Extraction
AI agents segment raw pages, extract attributes, and assign bounding box coordinates.
Rule Verification
Independent QA agents cross-verify dimensions, compatibility declarations, and data formats.
ERP / API Sync
Validated product data is pushed to your PIM, PrestaShop store database, or custom search indexes.
Security and proprietary data isolation.
We understand that supplier contracts and product blueprints are valuable intellectual property. Our processing servers are configured to keep data completely private.
- No training on your proprietary catalogs; models operate in strict context isolation.
- FOP (Fractional Operator) governance ensures all parsing configurations match industry standards.
- Outputs verified against legacy PrestaShop and Akeneo PIM structural parameters.
Automate your catalog onboarding.
Send us one technical supplier datasheet or a messy 10-product Excel sheet. We will build a customized schema extractor and return a clean, structured JSON file with exact line citations.