Sellers dug through scattered records for pricing and contracts. Now, they ask a voice AI to instantly generate visual dashboards.
A global chemical manufacturer with over 10,000 employees managing large volumes of rapidly changing, semi-structured customer data across multiple business domains.
A legacy, monolithic data architecture left customer information scattered across thousands of disconnected data points. Sales representatives spent...
“Instead of having a single hub for this preparation, we had thousands of data points to look through—which created a lot of friction with our processes.”
Specialty chemical manufacturer of materials, additives, and functional products.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Searching 17,000 pages of technical documents delayed customer replies. Now, an AI assistant instantly surfaces exact specs for sales reps.
Rewriting technical summaries for 52,000 products was unscalable. AI optimized 10,000+ descriptions and enabled semantic search.
Parsing material specs by hand bottlenecked 1,000 special steel quotes. Now, AI extracts the raw data so reps can finalize quotes.
Scattered data and manual entry slowed reps. A voice copilot now automates prep and logs notes, freeing time for doctor visits.
Staff chased context on incomplete forms. An AI agent now qualifies leads in 32 languages, booking meetings in minutes.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Sellers lost hours to manual research. AI agents now generate instant meeting briefs and follow-up emails, cutting prep time to minutes.
Manual role-plays pulled staff off the floor. Now, AI agents run infinite drills and answer queries instantly, keeping experts selling.