Built for enterprise ecommerce teams
Use cases of the Hypotenuse AI-Powered DAM
For brands and manufacturers
Extract product attributes from your images — even simple phone photos from your product team
Generate lifestyle or on-model versions from plain product shots without scheduling photoshoot
Create marketplace-ready visuals at scale by removing backgrounds, and cropping or resizing in bulk
Centralize and manage visual assets with secure access across creative, merchandising, and ecommerce teams
For retailers and distributors
Normalize supplier images that vary in quality and size by upscaling, cropping, and resizing in bulk
Pull missing or alternative product images from the web to complete PDPs quicker
Improve catalog completeness with AI extracting attributes directly from visuals
Generate channel-ready versions for your ecommerce platforms and preferred marketplaces
Frequently asked questions about AI-powered DAM
What is an AI digital asset management platform (DAM)?
An AI DAM is a system that stores and organizes your digital assets while also using AI to understand, enrich, and prepare them for use. It can extract product attributes from images, link visuals to SKUs, improve metadata, and generate channel-ready versions, all within one platform.
How can an AI-powered DAM speed up workflows?
AI automates the work that usually slows teams down, such as tagging, cropping, resizing, and preparing assets for marketplaces. It can also extract product details from your images, match visuals to SKUs, and pull missing images from the web, which reduces manual effort across creative, merchandising, and ecommerce teams.
How does AI digital asset management differ from traditional DAM?
Traditional DAMs store files and rely on manual tagging and manual editing.An AI DAM adds intelligence: it understands what is in your images, enriches product data, creates channel-ready variations, and helps complete PDPs even when supplied content is inconsistent or incomplete.
What should I look for in a DAM?
It depends on what your team needs to accomplish. For ecommerce workflows, most brands look for a DAM that can store assets securely, support role-based access, and keep images organized. Teams that manage large catalogs often prioritize AI tagging, metadata enrichment, image-to-SKU linking, and bulk editing. If you sell across multiple channels or marketplaces, it is important to have tools that generate channel-ready versions and integrate with your PIM, CMS, or commerce platforms.
What industries benefit most from AI DAM?
AI DAM is most valuable for industries with large catalogs or visual-heavy PDPs, such as fashion, apparel, furniture, home goods, beauty, consumer electronics, and industrial supplies. Any business that relies on product images and deals with manual tagging, enrichment, or image preparation can benefit significantly.
Where does Hypotenuse AI DAM fits in my tech stack
Hypotenuse AI DAM sits between your product data and your go-to-market channels.
It centralizes your images, links them to the correct SKUs inside the Hypotenuse AI PIM, enriches missing attributes by extracting details directly from the visuals, and prepares channel-ready versions in the same workflow.
Teams without a DAM can use Hypotenuse AI DAM as a secure, centralized environment to store and manage visual assets.
Teams with an existing DAM can integrate it with Hypotenuse AI to unlock the full AI image suite for product photography, enrichment, and bulk editing.
All assets and product data remain protected through role-based permissions, secure storage, and strict access control across your organization.
Explore insights on managing ecommerce product data
Product Data Enrichment: Why It’s Essential for Ecommerce Success
Product data enrichment helps enrich your product data with relevant information automatically pulled from the web. In this article, we'll discuss what it is, why it’s important for ecommerce brands, and how you can harness its power to level up your product pages.
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