Case study
How Zepto transformed product listings with Claid AI and improved conversions
With Claid AI integration, Zepto generated more contextual visuals for product listings, standardized product imagery, and set up a custom pipeline to process thousands of images in one go. As a result, the company reduced pressure on design teams and achieved a measurable lift in conversions.
About Zepto
Zepto is one of India's biggest quick-commerce players, built around fast delivery of groceries and daily essentials. Founded in 2021, the company has scaled rapidly and reached a reported $7 billion valuation, handles over 2 million orders per day, and offers more than 45,000 products. Zepto uses Claid AI to generate more conversion-ready visuals and standardize product images across a large catalog.
The challenge: time-consuming and inconsistent image processing
Zepto faced several image-related challenges before cooperating with Claid AI:
- Images were sourced from different websites without a standardized process, which led to uneven quality and presentation across the app.
- In quick commerce, customers make fast decisions, so images play a critical role in helping them recognize products instantly.
- Background removal and cleanup depended on the design team working in Figma, which took up valuable time and slowed the workflow.
- As Zepto grew, this design-heavy process could not keep up with the volume of product images that needed to be improved and standardized.
The solution had to address:
The solution: streamlined image processing with Claid API
Zepto used Claid to build a more standardized and scalable image workflow for its catalog. Instead of relying on designers or basic third-party tools for individual edits, the team gave image improvement capabilities directly to its cataloging team through Claid's intuitive tools and API.
With Claid, Zepto was able to:
- replace bland backgrounds with attractive scenes tailored to different product types
- standardize image quality, dimensions, and presentation across the catalog
- reduce reliance on the design team for routine image edits and embellishments
- process images in large batches through the API instead of handling them one by one
- customize the workflow with bespoke requests and adjustments
The results: faster processing and more sales
Claid helped Zepto turn image editing from a slow manual process into a scalable catalog operation.
As a result, Zepto was able to:
- process 20,000 to 30,000 product images in just a few days
- handle thousands of images in one go through the API
- free up significant bandwidth for design and editing teams to focus on other priorities
- achieve a measurable increase in conversions thanks to more contextual and visually attractive product images
Beyond the immediate image improvements, the partnership gave Zepto a responsive and flexible support experience that helped the team move quickly and adapt the workflow to its needs.
The company now sees Claid as part of a broader AI-driven approach to improving catalog quality, customer experience, and business performance. The team is also looking to deepen the partnership further and explore new features as they become available.
Partnership designed for scale
The partnership was built to support Zepto at an operational scale. Claid worked closely with the team through a hands-on model designed for high-volume catalog workflows:
- Forward-deployed engineers helped adapt the workflow to Zepto's catalog operations, infrastructure, and processing requirements
- The setup was tailored to Zepto's product taxonomy, image standards, and background-generation needs across categories
- Zepto had direct access to Claid's team for adjustments, issue resolution, and ongoing workflow refinement
- The partnership created room to test additional AI-driven improvements as Zepto continues to scale
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