AI is Redefining B2B Search
80%
of B2B buyers expect the same seamless search experience they receive as consumers.
McKinsey
43%
of B2B buyers begin their purchasing journey with online search.
Forrester
When buyers search by part number, OEM reference, competitor SKU, or technical shorthand, generic search engines often fail to return the right result. Every dead end creates friction, increases support costs, and sends buyers to a competitor.
AAXIS builds B2B search experiences that understand how technical buyers actually search. We combine intelligent relevance, AI-powered search, personalized results, and business-managed merchandising to help customers find the right product faster—and continuously improve search based on real buyer behavior.
The opportunity isn't simply better search. It's turning product discovery into a competitive advantage.
AI-powered search built for complex B2B catalogs
B2B buyers don't search like consumers. They search using part numbers, OEM references, competitor SKUs, technical specifications, and industry terminology. Generic search experiences often fail to understand those queries, creating friction that slows buying and increases support costs.
We build intelligent search experiences that recognize technical intent, personalize results by customer, and continuously improve through buyer behavior. Business users control merchandising, while analytics provide the insights needed to optimize search over time.
WHY AAXIS
Why AAXIS
PROOF
Customer stories
Lawson Products serves more than 27 million personalized prices every hour, keeping pricing accurate and searchable across a massive technical catalog.
Interstate Batteries moved its dealers to self-service ordering through a portal built to help them find the right product fast, without waiting on a rep.
Braskem gives customers real-time order visibility across a complex distribution network, so buyers find accurate answers without picking up the phone.
B2B Search FAQs
See how AAXIS helps buyers find the right product, fast.
Built-in search is often tuned for retail. Deep B2B catalogs with part numbers, specs, and fitment usually need dedicated search to return the right result the first time.
Yes. We model relevance around how your buyers actually search, including part numbers, specifications, and compatibility.
Semantic and conversational search lets buyers describe what they need in plain language and get the right product, not just keyword matches.
How AI is Changing Search
- Intent over keywords
- Conversations instead of dead ends
- Search that learns
- AI-ready product discovery
Find the fastest path to better search
You don't need to know why your search isn't performing before talking to us. Finding the root cause is the first step—not a prerequisite.
Search Performance Assessment
WHAT WE DO
The right starting point when search is underperforming and the cause isn't clear. We analyze search logs, buyer behavior, and product data to identify where search breaks down and why.
YOU LEAVE WITH
A quantified view of search failures and their business impact
A prioritized roadmap based on ROI
A recommendation on whether your search engine needs tuning or replacement
Search Relevance Pilot
WHAT WE DO
The right starting point when you want to validate whether search relevance can be improved on your existing catalog. We configure and test query understanding, relevance, facets, and zero-result recovery using your actual data.
YOU LEAVE WITH
Before-and-after performance metrics
A documented relevance strategy that scales across your catalog
A data-backed estimate of business impact
Every engagement starts with discovery and collaboration. Together, we'll identify the search improvements with the clearest path to ROI.
Where this work gets done
Building Materials
Streamlining operations through enterprise digital services and automation.
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