Fynd Snap x REDTAG: Scaling AI Product Photography for Ramadan

Overview

REDTAG, one of the leading value fashion and lifestyle retailers in the Middle East, partnered with Fynd Snap to create product imagery at enterprise scale for its Ramadan collection.

The engagement covered 4,000+ SKUs, making it a strong proof point for large-scale adoption of AI-powered product photography.

The challenge

Ramadan is a critical retail period in the UAE, and REDTAG needed thousands of product images ready in time for launch.

The requirement came in with a very tight timeline - approximately 10 days before the brand’s intended go-live window - creating significant pressure around scale, consistency and speed.

Traditional photoshoot workflows would have required substantial coordination across samples, studios, models, photographers and post-production teams.

The solution

Fynd Snap enabled REDTAG to move from a conventional photoshoot workflow to a high-volume AI image generation process.

Fynd managed the engagement end-to-end, enabling thousands of SKU images to be produced through a scalable and standardised workflow.

This helped REDTAG execute its Ramadan imagery requirement without depending on a traditional shoot for every product.

The outcome

4,000+ SKUs delivered
The first production lot covered more than 4,000 SKUs for REDTAG’s Ramadan collection.

~20-day turnaround
The entire delivery was completed in approximately 20 days despite the compressed launch timeline.

Enterprise-scale AI adoption
The paid engagement demonstrated that AI product photography can move beyond pilots and support large retail catalogues at commercial scale.

Built for bulk production
Delivery was executed through Fynd Snap’s 4K bulk image generation pipeline, designed for high-volume product imagery requirements.

Key takeaway

REDTAG’s Ramadan project demonstrates how AI product photography can help large retailers create high volumes of catalogue imagery faster, while reducing the operational complexity associated with traditional product shoots.

4,000+ SKUs. ~20 days. One scalable AI photoshoot workflow.