Scaling on-model
image creation
with eComNeo
See how a global fashion brand eliminated the need for reshoots with AI-driven on-model imagery and size visualization to scale product launches.
See how a global fashion brand eliminated the need for reshoots with AI-driven on-model imagery and size visualization to scale product launches.
50%
cost reduction
100%
size-variant-coverage
95%
visual consistency
A premium global brand wanted to scale on-model product imagery and display clothes on models across petite, regular, and plus-size ranges without repeating photoshoots for every size. With weekly drops, seasonal collections, and launches spanning multiple international markets, the brand needed a faster, more cost-efficient way to produce high-quality on-model imagery that accurately reflected how garments drape and fit across body types.
They approached eComNeo for AI-driven fashion photography that complemented their existing workflows while preserving premium brand image.
Each size range required separate model shoots, driving up costs, timelines, and coordination efforts with every new collection.
Using manual workflows for creating front, back, side, and detail shots for every SKU and size variant made it difficult to support fast-moving seasonal launches.
Fit and silhouette were core to the brand’s value proposition, and so the models’ clothing needed to reflect realistic proportions, fabric fall, and garment structure, especially for petite and plus sizes.
Channel Consistency
The brand needed consistent, high-resolution imagery suitable for internal ecommerce platforms and marketplaces, without compromising visual quality.
eComNeo worked closely with the brand’s ecommerce and creative teams to demonstrate how AI-powered on-model images can be created at scale without additional photoshoots.
Using existing model images and garment shots, eComNeo generated realistic on-model visuals across multiple size variants, while preserving lighting, fabric texture, and silhouette.
Instead of simple resizing, eComNeo’s AI simulated accurate fit and drape behavior, ensuring garments reflected realistic proportions across body types.
For each SKU, the solution created front, back, side-angle, and cropped detail views, enabling consistent PDP presentation and better product storytelling.
From a single base photoshoot, the brand could extend imagery across diverse body shapes, sizes, and demographics.
eComNeo also generated short motion videos from static images, highlighting fabric movement and garment functionality.
Using AI to produce accurate on-model images reduced dependency on physical shoots, resulting in a faster turnaround for seasonal drops and international launches.
By eliminating repeated photoshoots across sizes and markets, the brand identified a 50% reduction in on-model photography costs.
High-resolution outputs (1500 × 2250) ensured on-model product images were suitable for ecommerce platforms and third-party marketplaces.