Latin American Super-App Rappi Starts Relations With Oracle

Rappi’s most recent collaboration with Oracle is as magical as a prophecy, an oracle! Here’s the latest scoop.

In an official post on the Oracle website titled “Rappi cuts search response times by 40% with Oracle AI solutions,” Oracle explains how its AI Vector Search on its Autonomous AI Database provides quicker and more highly personalized search results on Rappi. Nice news? Nice news!

The product consumers deputy at Rappi, Juan Diego Sánchez, chatted with Ridesharing Forum, saying, “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.”

SEO searches are among the biggest challenges that delivery apps face. Wait, SEO for delivery apps? You got it! For instance, if you’re looking for a particular food not with your favorite fast-food chain or casual restaurant, how do you ensure that appear on top of the app’s search results? Because the last thing you want to happen is offering the exact delight that your customer is searching, but couldn’t reach out to them because you appear further down below the search.

Rappi won’t allow that to happen. So, to upgrade its search engine and boost its conversion rates, as well a strengthen customer loyalty and grow the business further, it is adopting the Oracle Autonomous AI Database, together with the Oracle AI Vector Search and Oracle Cloud Infrastructure Generative AI to finally bid goodbye to vague queries, misspelled words, and low-interaction keywords that won’t lead to sales. They are doing this “to upgrade the app to more accurately decipher user intent and deliver faster and more relevant search results.”

But, why did Rappi choose Oracle? Well, it chose Oracle AI solutions as its primary data processing and storage platform based upon its performance, reliability, and support for advanced AI capabilities.

Particularly, the Oracle Autonomous AI Database and Oracle AI Vector Search are designed to bring AI prowess to where Rappi’s data resides, “eliminating the need to move data between platforms or specialty databases.”

Oracle is sharing its delight about the Rappi super-app preferring its system over others.

“Rappi also chose Oracle’s AI infrastructure because it could be used to easily vectorize the company’s extensive retail and restaurant catalogs, while also scaling to support millions of user queries per minute. Rappi views Oracle as a key partner in its AI evolution, choosing to support its move to Oracle’s AI infrastructure based on the organization’s technical expertise and ability to rapidly enable advanced AI use cases,” Oracle told Ridesharing Forum.

Oracle is a USA technology company specializing in database software, cloud-engineered systems, and enterprise software products, such as ERP, HCM, and CRM. For more delivery and ridesharing news, keep it locked right here on Ridesharing Forum. ‘Til then!

This seems like a strong use case for vector search, especially for a super-app where discovery and personalization directly impact conversions. A 40 percent improvement in response time is significant if it holds at scale. It will be interesting to see how it affects long term user retention and recommendation quality.