Common Business Problems
- Exact-match-only search fails on suffixes, aliases and historical part numbers.
- Raw-text attributes prevent reliable unit and range comparisons.
- Search, BOM and RFQ tools are disconnected, so sales loses the buyer context.
Capabilities
Part suggestions and tolerance
Support prefixes, aliases, spelling variations, suffixes and cross-references while explaining why a result matched.
Parametric filtering
Build composable filters from normalized units, ranges and enumerations instead of incomparable text values.
Zero-result recovery
Offer nearby parts, adjustable constraints, human sourcing or BOM submission rather than ending the journey on an empty page.
RFQ context
Pass part, quantity, target price, lead time, application and search constraints to sales and CRM together.
Deliverables
- Search requirements and query sample
- Parameter index and matching rules
- BOM/RFQ interaction and fields
- Performance and relevance acceptance report
Acceptance Metrics
- 01P95 search response time
- 02Zero-result rate
- 03Search-to-RFQ rate
- 04Qualified enquiry completeness
Frequently Asked Questions
How many parameters should search support?
Start from real buyer selection tasks. More fields are not automatically better; prioritize parameters that narrow results and have sufficient data completeness.
How is search relevance measured?
Create a labeled query set and evaluate exact parts, partial parts, parameter combinations, aliases and zero-result recovery separately.
Is BOM upload required?
It is valuable for multi-line procurement, but needs format guidance, privacy notice, row-level error feedback and a manual fallback.