DataArt & Rappi: Three Pillars of Strong Technological Partnership

Company Name

Rappi

Location

LATAM

Industry

Travel Tech Solutions

Services

Legacy Modernization Services

Client

Rappi is a multi-vertical super-app that offers food, groceries, e-commerce, pharmacy, travel, and payment services in 9 countries in Latin America.

One of Rappi’s key verticals is Rappi Travel, an online travel platform for booking trips, aggregating flight offers, and more. This vertical aims to continue to add value to the lives of Rappi users by providing multiple integrated services within the super-app ecosystem.

Challenge

Against a backdrop of increased demand for travel and constantly fluctuating travel conditions, Rappi recognized the need to improve the app’s search features and capabilities for its customers. Its Airport & City Search Engine presented an opportunity to enhance accuracy and performance while building a curated, seamless search experience.

Goals:

Improve user experience by returning faster and more accurate results
Leverage sales by delivering the proper search response to the visitor
Decrease maintenance costs by introducing a new microservices architecture

Solution

DataArt’s vision: Improving in-app search without the operational overhead and creating a tolerant and relevant process that offers users an out-of-the-box search tool inside the app.

DataArt introduced a new search engine architecture based on microservices and custom indexing, using Amazon OpenSearch Service at its core. The solution resembled a real-life search experience with searching functionalities of unrivaled relevance.

Learn more about Rappi Team Scaling

Highlights

Improved indexing and search performance by 10X
Increased maintainability, scalability, and reliability

Benefits

Improved conversion rate for search by 5% for locations not covered by popular destinations
Reduced cost-to-serve by optimizing marketing performance and costs
Increased engagement and customer satisfaction with a rich search experience
Decreased maintenance costs

Indexer features

Ability to customize Amazon OpenSearch Service indexes, including mappings and analyzers (special characters, synonyms, and stop-words)
Seed and update curations in Amazon DocumentDB
Load/update Amazon OpenSearch Service indexes with curated cities and airports using destination's API as a source

Search features

Search functionality based on a search query, language, and country
Enable field weights and scoring functions to optimize search results based on language, country, and custom score provided by curations

Technology Stack

AWS

Amazon OpenSearch Service

Amazon DocumentDB

Learn more about DataArt and AWS Travel & Hospitality Competency

DataArt & Rappi

Please provide your contact details, and we will get back to you promptly.

First name*

Last name*

Email*

Job title

Company*

Phone

What would you like to discuss?*

How did you learn about DataArt?

What is your role?

I agree to receive DataArt's monthly marketing newsletter.

I have read and agree to the Privacy Policy*