AI That Helps B2B Buyers Navigate by Performance, Not Just SKU Codes
B2B buyers don’t think in SKU numbers—they think in performance, application, and constraints. Yet many glass distributors still rely on static dropdowns or filters based on product codes, not user logic. AI is now enabling smart product filters in B2B glass catalogs, guiding buyers with contextual, predictive prompts that improve conversion and reduce spec mismatch.
The Problem with Most Catalog Filters
“By size” doesn’t reflect common usage scenarios
“Low-E” vs. “non-Low-E” doesn’t explain solar performance
Buyers can’t easily compare sound ratings, tint options, or safety codes
Filter logic doesn’t adapt based on prior behavior or selections
This leads to overwhelmed buyers, missed quotes, and abandoned carts.
How AI Enhances Filtering and Navigation
AI-powered catalog systems:
Analyze buyer behavior (pages viewed, tools used, SKUs clicked)
Use natural language or guided prompts (“What are you glazing?”)
Adjust filters based on project type (residential, institutional, curtain wall)
Auto-rank or suppress SKUs based on availability, lead time, or compatibility
Recommend bundles (panels + spacers + edge tape)
Example: Architectural Glass Distributor
A U.S.-based fabricator added AI filtering tools that asked users, “Indoor or outdoor? Is energy efficiency critical? Do you need impact resistance?” Based on responses, it filtered 4,500+ SKUs into just 18 viable options—boosting quote submissions by 39% and cutting quote revision requests by half.
Help Buyers Find What They Need—Even If They Don’t Know What to Call It
AI turns your catalog into a conversational configurator, not just a list—speeding up product discovery and purchase confidence.
