Daily updates left stock data lagging. Real-time indexing now syncs inventory instantly, ensuring exact matches for specific part numbers.
A B2B electronics distributor serving the EMEA region with a complex catalog of technical components and varying pricing structures across multiple countries.
Part number searches frequently returned inexact matches, causing ordering errors and hundreds of customer complaints. A legacy system relying on...
“We finally had a system that understood not just the words, but the way our customers use them. That’s what made the difference.”
Online distributor of technical components, automation, and measurement technology.
AI-powered search and discovery platform for enterprise and commerce.
Related implementations across industries and use cases
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Sales reps manually sifted 200M contacts. Vector search now creates dynamic "playlists" of high-value leads based on intent.
Complex medical catalogs forced buyers to rely on reps for routine orders. Now, AI adapts to real-time behavior to drive self-service.
Complex medical catalogs forced buyers to rely on reps for routine orders. Now, AI adapts to real-time behavior to drive self-service.
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Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
Daily updates left stock data lagging. Real-time indexing now syncs inventory instantly, ensuring exact matches for specific part numbers.
A B2B electronics distributor serving the EMEA region with a complex catalog of technical components and varying pricing structures across multiple countries.
Part number searches frequently returned inexact matches, causing ordering errors and hundreds of customer complaints. A legacy system relying on...
“We finally had a system that understood not just the words, but the way our customers use them. That’s what made the difference.”
Online distributor of technical components, automation, and measurement technology.
AI-powered search and discovery platform for enterprise and commerce.
Related implementations across industries and use cases
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Sales reps manually sifted 200M contacts. Vector search now creates dynamic "playlists" of high-value leads based on intent.
Complex medical catalogs forced buyers to rely on reps for routine orders. Now, AI adapts to real-time behavior to drive self-service.
Complex medical catalogs forced buyers to rely on reps for routine orders. Now, AI adapts to real-time behavior to drive self-service.
Chemists waited minutes to query 100M+ reactions. A vector engine returns matches in seconds, enabling real-time drug design.
Complex tables in 100-page docs bottlenecked teams. AI now parses text and images, ensuring every output is traceable and compliant.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.