Asingen

The Challenge

Amazon shoppers decide in the first swipe, and most sellers build their listing images from a pile of tools that never agree. A hero shot from one app, an infographic from Canva, a lifestyle render from a generator: nothing shares a palette, a lighting setup or a font. AI image models can do the work, but only with a good brief, and writing prompts is a full-time skill most sellers don't have. On top of that come the cut-outs, the 1500 by 1500 resizes, the 970 by 600 A+ banners, and doing it all again for every SKU and every marketplace. We wanted a tool where a seller with one phone photo and no designer could have a consistent, upload-ready listing the same afternoon.

Our Solution

We designed and built Asingen end to end as a full SaaS. The seller uploads up to three photos and the app removes the background, so one clean cut-out becomes the reference for every image. Instead of a prompt box, Gemini reads the title, description and photo, then asks five to seven questions about the buyer, the hero feature and the tone; the answers become the brief. From that one brief Asingen renders the whole set in parallel: hero, lifestyle, detail, infographic, comparison and packaging, plus six A+ banners and a title, bullets and description. The marketplace the seller picks (Amazon.com, .ae, .co.uk, .sa or .de) shapes the competitor patterns, copy tone and layout density. A background worker renders each slot, retries failures on its own and stores images as they land, so sellers can close the tab. Brand colours are saved after the first product and reused across the catalogue, every slot keeps its version history, and any single image can be regenerated for one credit. It ships as a fast Next.js app with credit-based accounts, a ZIP download for every set, and a landing page that shows the product working instead of describing it.

The Results