Case Study: Rappi cuts search response times by 40% with Oracle AI solutions

A Oracle Aconex Case Study

Preview of the Rappi Case Study

Rappi cuts search latency by 40% with Oracle Aconex

Rappi, a leading on-demand delivery app in Latin America, faced a challenge with its outdated keyword-based search engine. The previous system struggled with vague queries and misspellings, hindering user experience. To boost conversion rates and growth, Rappi chose to implement Oracle Aconex's AI solutions, including Oracle Autonomous AI Database and Oracle AI Vector Search.

The solution involved migrating its platform to Oracle Aconex's AI infrastructure to enable semantic search powered by large language models. This allowed for natural language and image-based queries that better understood user intent. As a result, Rappi cut search response times by 40% and improved its conversion rate by 25%, leading to increased user engagement and higher average order values.


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