Case study
How Rappi boosts productivity by 25% and speeds up restaurant onboarding by 87% with Claid AI
After integrating Claid's API for automated photo enhancement, the company increased productivity by 25%, cut image editing time by 42%, grew the number of restaurants on the platform by 33%, and reduced onboarding time from 9 days to just 1.2 days.
About Rappi
Rappi is one of Latin America's biggest tech companies: a Colombia-founded super app that has powered on-demand commerce across nine countries since 2015. With 35+ million users across 9 countries, the platform connects consumers with restaurants, retailers, and couriers at massive scale. Rappi uses Claid AI to enhance food visuals and reduce manual work.
The challenge: slow onboarding due to manual editing
Rappi needed a faster way to prepare large volumes of menu images so new restaurants could go live quickly, meet platform standards, and start generating sales sooner.
Major issues revolved around:
The solution: automated photo enhancement with Claid API
Rappi turned to Claid's API for an automated solution to their image editing needs. Instead of laborious manual editing, Rappi sends photos to Claid in batches.
Claid processes these photos to:
- Increase resolution for clearer images
- Enhance details for better product representation
- Improve image quality and clarity
- Correct colors and lighting for a more natural look
With Claid API integrated into their CRM, Rappi streamlined their image editing process. This automation lets restaurants get their enhanced images ready for upload in minutes, significantly speeding up onboarding.
The results: faster onboarding, more sales
With Claid integrated into Rappi's onboarding workflow, the company improved restaurant launch speed and made image operations far more efficient.
Tangible results include:
- Reduced average onboarding time from 9 days to 1.2 days
- Increased the number of restaurants on the platform by 33%
- Saved 42% of time on photo editing
- Saved 28% of time on restaurant management
- Improved overall productivity by 25%
These gains had a direct business impact. Faster onboarding meant restaurants could start selling sooner, and better-quality visuals made stores more likely to convert, with Rappi noting that stores with better images have 3x higher purchase likelihood.
The company also streamlined internal photo operations, leading to meaningful cost savings and a better experience for both merchants and customers.
Partnership built around Rappi's scale
Claid supported Rappi with a collaboration model built for a fast-moving, high-volume marketplace:
- Close collaboration with forward-deployed engineers. Claid worked directly with Rappi's team to fit the solution into a complex restaurant onboarding workflow, not just hand over an API.
- Fast issue resolution. With a dedicated support and a Slack channel for ongoing communication, Rappi could troubleshoot quickly and keep core workflows running smoothly.
- Continuous optimization. Regular reviews helped refine the setup over time, improve performance, and adapt the workflow as operational needs changed.
“Overall, we got 25% more stuff done! Claid's solutions totally improved how we work and made our customers happier.”
— Alain Abud, Ops Manager at Rappi
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