Rappi cuts search response times by 40% with Oracle AI solutions
Rappi upgraded its on-demand delivery app's search engine using Oracle Autonomous AI Database, Oracle AI Vector Search, and OCI Generative AI to replace keyword-based search with semantic search that better interprets vague queries, misspellings, and natural-language or image searches across its retail and restaurant catalogs.
Overview
Rappi upgraded its on-demand delivery app's search engine using Oracle Autonomous AI Database, Oracle AI Vector Search, and OCI Generative AI to replace keyword-based search with semantic search that better interprets vague queries, misspellings, and natural-language or image searches across its retail and restaurant catalogs.
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Inspect the highlighted sourceThe challenge
The app's previous keyword-based search couldn't handle vague queries, misspelled words, or low-interaction keywords that lacked semantic meaning.
The solution
Rappi adopted Oracle Autonomous AI Database, Oracle AI Vector Search, and Oracle Cloud Infrastructure (OCI) Generative AI to upgrade the app to more accurately decipher user intent and deliver faster and more relevant search results, letting users interact with the product catalog using natural language and image searches.
Reported business value
Since migrating to Oracle AI solutions, the app's latency has been reduced by 40% when delivering responses to user queries, and Rappi has boosted its average order value and improved its conversion rate by 25%.
Sources
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