Your Buyers Search Like Engineers. Your Search Should Too.
B2B buyers arrive with intent, technical vocabulary, and zero patience for irrelevant results. When a procurement manager searches for a part number and gets nothing, they don't try again — they move on. SearchSense Commerce is built for the catalog depth, attribute precision, and buyer sophistication that B2B commerce demands.
Already trusted by industry leaders
83%
of B2B leaders now prioritise AI-powered search
44%
cite rising buyer expectations as the #1 search investment driver
2–3×
higher conversion rate for site search users vs non-searchers
<200ms
search response time at catalog scale
The B2B Search Deficit Six Failure Modes
B2B buyers don't browse — they search with precision. Each failure mode below represents measurable, recoverable revenue loss.
01
Trade terms don't match product titles
Buyers use industry shorthand your catalog doesn't reflect. Every mismatch is a lost order.
02
Attribute filtering is too shallow
Engineers filter by spec, grade, and certification — not by category name. Standard facets fail them.
03
Large catalogs degrade in performance
Relevance and speed collapse above 100,000 SKUs on most platforms. SearchSense doesn't.
04
Part number search isn't treated precisely
SKUs and model codes need atomic matching. Generic tokenisation returns wrong or no results.
05
Reorder friction erodes loyalty
Trade buyers who can't quickly repeat an order find a supplier whose system remembers them.
06
Internal teams can't access product knowledge
Sales reps hunting through shared drives during customer calls lose deals to faster competitors.
Explore all products
CommerceAI-powered product discovery for technical catalogs — from 10,000 SKUs to 1 million. Exact match, attribute filtering, and merchandising.
WorkspaceAI knowledge search for sales and operations teams behind your portal. Find any spec sheet, pricing doc, or product PDF in under 10 seconds.
B2B Commerce in Practice
Four scenarios reflecting the most common B2B search transformation patterns across industrial distribution, manufacturing, and MRO.
Synonym mapping and part-number tokenisation fixed terminology gaps — without re-titling a single product.
Exact match search and recent-purchase surfacing make reorder friction-free — improving account retention at renewal.
Workspace AI search across SharePoint and product PDFs gives sales reps cited answers on demand.
Configurable collection filter trees surface technical specifications as primary facets, not buried sub-categories.
