AI is changing ecommerce studio workflows
This case study examines the application of artificial intelligence (AI) image generation technologies within the context of e-commerce product photography.
The emergence of AI image generation offers a potential paradigm shift. By synthesizing photorealistic models and embedding products into digitally constructed environments, retailers may achieve comparable outcomes to traditional photography while significantly reducing expenditure.
This study explores the potential role of AI-generated images in transforming stable, flat product photographs into dynamic representations suitable for e-commerce platforms.
Steps we take…
Baseline Product Capture
- A stable, high-resolution product image is obtained through traditional methods, typically flat-lay, ghost mannequin, or 360-degree studio photography.
- For example, the product shown on the left are representative of typical e-commerce photography: flat-lay apparel presented on a clean, neutral background.
Model Creation and Selection
AI generative systems synthesize on-figure models that align with brand guidelines, target demographics, and campaign needs. Selection parameters can include body type, age, ethnicity, hairstyle, and pose. Careful curation ensures alignment with consumer expectations and cultural considerations.
Example: AI Generated 7 year old model generated for US based kid’s apparel retailer
Product Integration and Image Generation
The baseline product is digitally mapped onto the AI model. Algorithms simulate realistic fabric draping, fit, and scaling. Multiple iterations can be generated to accommodate front, side, and back views.
Photo Retouching and Post-Processing
Human-in-the-loop intervention remains critical to ensure product accuracy and realism. Retouching workflows correct distortions, refine texture fidelity, and confirm that details such as stitching, logos, and closures are faithfully represented. This step safeguards against consumer misperception.
Example: AI-generated this on-figure product image where inconsistencies require correction (the AI unintentionally added 2 chest pockets).
Post-production retouching and editing are critical components of AI image generation workflows.
Despite advances in model training and control mechanisms, AI systems frequently introduce product inconsistencies—such as distortions in texture, stitching, or color—that must be corrected to ensure accuracy and realism.
At MS2 Creative, we provide end-to-end AI image generation and post-production retouching services designed to align seamlessly with your brand guidelines and aesthetic requirements.
Our process integrates advanced AI model creation with meticulous human oversight, ensuring that every product is represented with accuracy, consistency, and visual integrity.
By combining automation with expert editing, we maximize creative output while maintaining the highest standards of realism—empowering retailers and DTC brands to scale their visual content production without compromising brand identity or consumer trust.
