Amazon rolls out Project Amelia AI assistant for sellers

Running an e-commerce storefront usually involves spending hours digging through dense performance dashboards and support queues.

On Thursday, Amazon rolled out Project Amelia, a new generative AI assistant designed to help sellers manage and scale their businesses. Built on AWS's Amazon Bedrock platform, the tool is launching in beta for select U.S. sellers, with a wider domestic rollout followed by international expansions in additional languages planned for later this year.

Basically, Amazon wants to turn complex seller analytics into a simple conversation.

From business metrics to automated problem solving

At launch, Amelia acts primarily as an on-demand business analyst.

Sellers can ask conversational questions like "How is my business doing?" and receive a quick summary of recent sales, units sold, and web traffic, complete with comparisons to the same period last year.

You can also drill down with follow-up prompts about specific ASINs, tracking individual product growth, page views, and sales momentum without manually pulling separate reports.

Amazon's roadmap for Amelia goes beyond reading dashboards. Down the line, the assistant is meant to help resolve operational bottlenecks.

For instance, a seller could ask why 300 incoming inventory units aren't showing up in a report. Amelia will offer personalized guidance and, if needed, loop in Amazon's support team.

Eventually, Amazon says the AI could even take actions and solve problems directly on a seller's behalf, though it hasn't shared specific timelines or technical details for that autonomous stage yet.

This launch follows a string of recent AI updates from the retail giant, including its consumer-facing Rufus shopping chatbot released this summer, along with seller tools for listing generation and advertising backgrounds.

Why it matters

For independent sellers and e-commerce teams, Amelia takes the friction out of everyday performance tracking. Turning multi-step spreadsheet exports into natural language queries is an obvious productivity win, especially for smaller operators without dedicated data analysts.

That said, it is still in early beta. Right now, it acts mostly as a data summarizer, and when things get complicated, it routes you back to standard support channels. It is not ready to run your store on autopilot just yet.

From an industry perspective, this is Amazon defending its merchant base. With intense competition from low-cost rivals, making Seller Central less painful to navigate is critical for keeping merchants locked into the ecosystem.

It is also a practical showcase for AWS's Bedrock platform. The main challenge will be accuracy: in inventory and revenue management, even minor AI hallucinations can create costly supply chain mistakes.