Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Latin America's fastest-growing on-demand delivery app operates across more than 300 cities, connecting users with extensive retail and restaurant catalogs.
The legacy keyword-based search engine struggled to process vague queries, misspelled words, or low-interaction keywords that lacked semantic...
“By implementing Oracle AI Vector Search, we not only get lower latency, but we’ve also improved our conversion rate. Users are more engaged with the Rappi app to discover new products. At the end of the day, that means more orders that contribute to the growth of our business.”
Rappi's Product search is part of this use case:
Multi-vertical super-app for on-demand delivery, fintech, and travel services.
Enterprise database software and cloud infrastructure services.
Worked with Rappi to migrate its on-demand delivery platform to Oracle AI solutions.
Related implementations across industries and use cases
Lab results took five days, risking lives. Now, AI scans 90TB of DNA in milliseconds to guide treatment.
Typos like "kayaks" for "Kaiak" used to cost sales. GenAI now interprets phonetics to find the right products for 1M+ consultants.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Time zones bottlenecked competitive intel for global sales. Now, an AI Slack agent delivers vetted talking points and charts on demand.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Legacy keyword search failed on typos and vague queries. Now, semantic AI interprets natural language and images to find exact items.
Latin America's fastest-growing on-demand delivery app operates across more than 300 cities, connecting users with extensive retail and restaurant catalogs.
The legacy keyword-based search engine struggled to process vague queries, misspelled words, or low-interaction keywords that lacked semantic...
“By implementing Oracle AI Vector Search, we not only get lower latency, but we’ve also improved our conversion rate. Users are more engaged with the Rappi app to discover new products. At the end of the day, that means more orders that contribute to the growth of our business.”
Rappi's Product search is part of this use case:
Multi-vertical super-app for on-demand delivery, fintech, and travel services.
Enterprise database software and cloud infrastructure services.
Worked with Rappi to migrate its on-demand delivery platform to Oracle AI solutions.
Related implementations across industries and use cases
Lab results took five days, risking lives. Now, AI scans 90TB of DNA in milliseconds to guide treatment.
Typos like "kayaks" for "Kaiak" used to cost sales. GenAI now interprets phonetics to find the right products for 1M+ consultants.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Time zones bottlenecked competitive intel for global sales. Now, an AI Slack agent delivers vetted talking points and charts on demand.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.