As retailers prepare for Black Friday, one of the biggest challenges is producing product photos that truly stand out among thousands of online offers. This is a known problem, as professional studios are costly, manual editing workflows are slow, and often, catalogs grow faster than teams can update them.
Photoroom, an AI-powered product photography platform for fast, consistent, and professional images, is changing this scenario by offering a “studio in the palm of your hand” experience for brands and retailers. With AI-based features such as automated flat lay, ghost mannequin, virtual model, and product staging, the solution enables transforming ordinary photos into professional images in seconds and at scale.
“Our focus is to democratize visual quality in e-commerce,” explains Matt Rouif, CEO of Photoroom. “Not every retailer has access to a studio or a professional photographer, but everyone can have images that look like they came from one. The technology does the heavy lifting, and the result is a more attractive store with photos that sell.”
According to market research, high-quality images can increase e-commerce conversion rates by up to 231% . However, many retailers still rely on manual editing workflows, which creates operational bottlenecks, especially during peak periods like Black Friday.
Photoroom embraces this challenge with a set of tools that combine batch automation, model creation, product beautification, and AI-powered photo staging. This allows marketing and content teams to generate thousands of consistent images without compromising on quality or the brand's visual identity.
Among the most recommended features are:
- Flat Lay: the tool transforms simple clothing photos into flat, standardized images, ideal for marketplaces and social media. The feature uses AI to adjust framing, lighting, and proportions, delivering consistent, professional-looking results. The outcome is a more uniform and attractive catalog, with savings in time and operational costs.
- Ghost Mannequin and Virtual Model: allows retailers to present their items more naturally, showing fit, texture, and how to use them, without depending on full photoshoots. The technology creates realistic representations based on the product's own photos, preserving visual fidelity and brand control. It is a way to give “life” to images while maintaining transparency and authenticity.
- Product Staging: creates contextualized scenarios that help the customer imagine the product in use, such as a cosmetic on a countertop, a utensil in the kitchen, or an accessory in a lifestyle setting. This realistic setting increases visual appeal and perceived value, in addition to generating material for campaigns and digital storefronts with a professional appearance.
- Product Beautifier: automatically optimizes light, color, and contrast so that each item in the catalog maintains a consistent aesthetic standard. The feature enhances brightness and texture without altering the original product, ensuring the final image conveys the best possible visual aspect. It is a way to offer studio-quality photos but at a corporate scale, reinforcing consumer trust and brand identity.
The platform also stands out for its corporate API, which allows integrating image editing directly into companies' e-commerce and catalog management systems. Thus, it is possible to automate editing workflows for thousands of SKUs, standardizing backgrounds, dimensions, and lighting, all with brand governance and corporate data security.
“Black Friday is the ultimate efficiency test for e-commerce. With the volume of products and campaigns, those who can maintain visual consistency at scale come out ahead. That's where automation and AI make a real difference,” states Rouif.

