Why large catalogs break quoting
When product data lives in multiple places, quoting becomes slow, error-prone, and hard to scale.
SKUs and attributes are inconsistent
Different codes, descriptions, and units across ERP exports, spreadsheets, and PDFs.
Search is slow or nonexistent
Sellers rely on tribal knowledge to find the right item and equivalent alternatives.
Commercial rules are not attached to products
Pricing metadata and constraints live outside the catalog, causing mistakes.
A commercial catalog built for B2B complexity
Recerc turns heterogeneous product data into a clean, structured catalog your team can actually use.
Multi-source ingestion
Pull from ERP, spreadsheets, PDFs, and custom sources without replatforming.
Normalization and enrichment
Standardize units, names, attributes, and mappings with traceability.
Commercial-ready catalog
Attach pricing metadata, constraints, and searchable attributes to every SKU.
How catalog normalization works
Ingest and map sources
Import ERP extracts and files, then map fields to a canonical schema.
Normalize and deduplicate
Resolve duplicates, standardize units, and align naming conventions.
Enrich attributes
Add structured attributes for search, filtering, and quoting rules.
Publish to quoting
Expose the catalog to sales workflows and downstream integrations.
Core capabilities
Canonical SKU model
Standardized SKUs with traceable source mappings.
Attribute-based search
Fast filtering across thousands of items and custom attributes.
Versioning and auditability
Track changes and ensure quoting uses the right catalog state.
Channel-ready outputs
Feed quoting, portals, APIs, and ERP handoff from the same catalog.
Designed to work with your stack
Start from your current sources and progressively standardize without disrupting operations.
Before and after Recerc
- Multiple catalogs and exports
- Slow SKU discovery
- Inconsistent product data
- Rules scattered outside products
- One normalized catalog
- Fast search and filtering
- Consistent attributes and units
- Catalog that powers quoting
FAQs
Next reading
Adjacent workflows to complete the full commercial motion
These pages connect the primary problem to pricing, approvals, customer experience, and execution.
By use case
Automate repetitive commercial work with guardrails
Build reliable commercial workflows with clear rules, automated approvals, and executable outputs.
Open pageBy use case
Connect ChatGPT, Claude, and agents to live commercial rules
Build reliable commercial workflows with clear rules, automated approvals, and executable outputs.
Open pageBy use case
Prepare and review complex quotes with AI assistance
Build reliable commercial workflows with clear rules, automated approvals, and executable outputs.
Open page