Let Machines Handle the Inboxes So Reps Can Focus on Closing
Glass distributors field hundreds of inquiries each week—from architects, GCs, and glaziers asking about lead times, specs, sizes, and certification. Many of these hit shared inboxes or contact forms, where human teams manually review, route, and triage. AI now automates the classification and routing of glass product inquiries—dramatically reducing response time and error.
The Inbound Traffic Problem
70–80% of inbound emails contain repeatable product/spec questions
Many lack part numbers but reference intent (“tempered for deck railing”)
Reps must interpret, classify, and reply—often with delays
Inquiries go stale during backlog or off-hours
What AI Classification Engines Do
AI systems process inbound emails/forms and:
Extract intent and product type
Map language to SKU class, coating type, thickness, and usage
Score urgency and customer value
Route to correct team or auto-reply with preliminary options
Flag RFQs requiring engineering or quoting input
Over time, they learn from responses and improve classification fidelity.
Example: Inside Sales at Architectural Glass Fabricator
A distributor using AI inbox triage cut average inquiry response time from 14 hours to 1.7 hours. Auto-classification sorted 65% of requests without rep intervention. Quotes from inbound leads rose 22% in 3 months—and staff time spent on low-value inquiries dropped by 40%.
Faster Response, Better First Impressions
In a market where speed wins jobs, AI lets reps focus on deals, not inboxes—and ensures every buyer gets the right answer, faster.
