At the Retail Technology Show this week, you’re starting to see early signs of AI video making its way into retail.
In most cases, it’s centered around avatars, scripts, and translation. The capability is impressive, and it’s clear the category is taking shape.
But the underlying workflow hasn’t changed as much as it might seem.
Someone still needs to write the script. Pull the imagery. Structure the message. The tools are faster, but they still depend on manual input to get started.
That works in some environments. In retail, it becomes a bottleneck.
The challenge has never been producing a single video. It’s keeping up with the pace of the business. New products launch constantly, assortments shift, and training needs to follow quickly and consistently.
That’s where most approaches start to break down.
They improve production, but they don’t remove the dependency on creation.
With MMP AI Studio, we’ve been looking at it from a different angle.
Instead of starting with a script, the system starts with the product itself. A product URL becomes the input. From there, it pulls the imagery and attributes, generates a script in retail-floor language, creates the video, and delivers something that can be used for both associate training and customer-facing content.
The output isn’t just a video. It’s a way to scale content across an entire assortment without adding more work upstream.
After nearly three decades in this space, the gap between a product launching and an associate being able to confidently sell it has never been smaller.
