Amazon has introduced a new AI-powered “Canvas” workspace inside Seller Central, designed to help marketplace sellers analyze their business performance and make data-driven decisions using real-time data. The feature generates personalized interactive dashboards that combine sales metrics, business insights, and recommended actions tailored to each seller’s operations.

The release reflects Amazon’s broader effort to embed generative AI and agentic AI into the seller experience, expanding tools such as Seller Assistant that already provide automated recommendations to merchants. By turning seller data into dynamic visual workspaces, the new Canvas system allows merchants to explore business trends, test business scenarios, and plan growth strategies conversationally.

The feature is available today to sellers in the United States and the United Kingdom, with expansion planned to additional countries and languages later this year.

For the millions of independent businesses operating on Amazon’s marketplace—who collectively generate more than 60% of sales on the platform—the tool represents a new approach to managing ecommerce operations through AI-driven decision support.

Here’s what this release reveals about how Amazon is using agentic AI to turn seller data into real-time business decisions.

Amazon has been steadily expanding AI tools for marketplace merchants in recent years. Earlier generative AI features introduced AI-powered listing tools that help sellers create product descriptions, A+ content, and marketing imagery with less manual work. The company also launched Seller Assistant, an AI chat interface that provides business insights, support, and recommendations to merchants. Amazon later enhanced Seller Assistant with agentic AI capabilities, allowing it not only to respond to sellers’ questions but also to reason, plan, and take action on their behalf.

Amazon says adoption has been strong: sellers accept nearly 90% of Seller Assistant’s recommendations, suggesting many merchants already rely on AI-generated guidance to manage their storefronts and streamline routine operational decisions.

The new Canvas workspace extends Amazon’s Seller Assistant, using the same agentic AI architecture to turn seller data into personalized visual dashboards that update in real time. Sellers can explore sales trends, customer traffic patterns, inventory levels, and other performance signals within an interactive workspace that surfaces insights and recommended actions tailored to their business. They can also test business scenarios—such as preparing for peak selling periods or evaluating potential growth opportunities—with the canvas generating new visualizations and recommendations in response.

The system is built on Amazon Bedrock and leverages Amazon Nova and Anthropic Claude models to analyze seller data and generate AI-powered insights as merchants ask follow-up questions or explore different business scenarios.

To begin using the feature, sellers can ask questions through Seller Assistant or choose from suggested prompts. The system then generates a personalized canvas that brings together relevant business data, insights, and recommended actions based on the seller’s operations.

Sellers can refine the interactive workspace by asking follow-up questions or requesting different perspectives on their data. As the conversation evolves, the canvas adapts in real time—generating new visualizations, surfacing additional business insights, and allowing merchants to explore their ecommerce operations from multiple angles.

Amazon outlined several ways sellers can use the Canvas workspace to support decision-making across their operations.

Sellers can generate interactive dashboards by asking questions such as “How are my products performing?” or “Can you analyze my sales performance?”

The system compiles data including:

If the system detects unusual activity—such as a sudden spike in demand—it can surface the trend along with relevant business context and suggest actions such as increasing inventory. The canvas goes beyond simply displaying data by highlighting potential opportunities or risks specific to each seller’s business.

Sellers can also dig deeper into these AI-generated insights by asking follow-up questions or requesting different views of their data. As the conversation evolves, the canvas generates new visualizations and analysis to help merchants explore business trends, evaluate potential strategies, and identify growth opportunities they might otherwise miss.

Charlene Anderson, founder of Purveyor of All Things Creative, said the tool significantly reduces the time required to analyze business data.

“It would typically take me hours to pull together the type of information and recommendations that a canvas shares in seconds,” Anderson said. “The recommendations and proposed actions are very tailored to my business. The predictive insights allow me to feel confident about making decisions—whether it's shifting around inventory or introducing a new product line.”

The Canvas workspace can also analyze advertising performance and promotional campaigns.

If a seller asks how to improve marketing campaigns, the system evaluates metrics such as:

Rather than offering a single recommendation, the system proposes multiple forward-looking strategies, including projected outcomes for each approach. Sellers can adjust campaign parameters—such as reducing budget or focusing on excess inventory—and the Canvas recalculates recommendations in real time.

Inventory management is another major use case. The canvas can also function as a decision simulator for one of the most common questions sellers face: “What products should I restock?”

Instead of simply listing products to reorder, the system analyzes a seller’s broader business situation and offers multiple possible actions, including:

Each option includes projected impacts on revenue, cash flow, stockout risk, storage fees, and competitive positioning.

Sellers can also explore “what-if” scenarios conversationally by asking questions such as, “What if demand drops 10%?” or “What if I discount instead of restocking?” The canvas updates projections in real time, helping sellers understand how those changes might affect inventory levels, revenue, and other business outcomes as they test different decision scenarios before committing to a choice.

Once a seller chooses a path forward, they can work with Seller Assistant to take action—such as adjusting prices or creating restock orders—with Amazon planning to automate more of these tasks over time.

The Canvas workspace can also help sellers determine what product to launch next by asking questions such as, “What product should I launch next?”

To generate product launch recommendations, the system analyzes:

Using those signals, the canvas helps sellers build a prioritized launch strategy tailored to their existing catalog and market opportunities.

Instead of presenting a single answer, the system walks sellers through multiple expansion strategies, including introducing new product variations that are closely related to their current offerings or entering adjacent product categories.

Each option includes an explanation of expected investment requirements, risk levels, and estimated time to profitability, helping sellers evaluate potential tradeoffs before making a decision.

Sellers can also explore business scenarios conversationally—for example asking, “What if I want to start with less inventory?”—with the canvas updating projections in real time as assumptions change.

When sellers decide on a path forward, they can work with Seller Assistant to move from planning to execution by preparing launch checklists, forecasting initial inventory needs, and staging the actions required to bring a new product to market.

The Canvas experience is currently available to sellers in the United States and the United Kingdom at no additional cost. Amazon says the feature will expand to additional countries and languages later this year as the company continues to add new AI capabilities based on feedback from the seller community.

Q: What is Amazon’s AI Canvas experience?
A: Amazon’s AI Canvas is a new interactive workspace inside Seller Central that generates personalized dashboards combining business data, insights, and recommended actions. The system brings together information such as sales performance, customer traffic, inventory trends, and marketing metrics into a visual interface that sellers can explore conversationally.

Q: What problem is the AI Canvas designed to solve for marketplace sellers?
A: Many sellers must analyze multiple reports and dashboards to understand how their business is performing. The Canvas workspace consolidates that information into a single interface, allowing sellers to quickly identify trends, evaluate opportunities, and make data-driven decisions without manually compiling data from different tools.

Q: What technology powers Amazon’s AI Canvas?
A: The Canvas experience runs on the same agentic AI architecture used by Seller Assistant, built on Amazon Bedrock. It leverages Amazon Nova models and Anthropic Claude to analyze seller data, generate AI insights, and recommend business actions tailored to each seller’s operations.

Q: What types of business decisions can sellers make using the Canvas workspace?
A: The tool helps sellers evaluate a range of operational decisions, including analyzing sales performance, optimizing marketing campaigns, planning inventory restocking, and exploring new product launches. Sellers can also run “what-if” scenarios—such as testing how changes in demand or pricing might affect revenue or inventory levels.

Q: Where is Amazon’s AI Canvas currently available?
A: The feature is currently available to sellers in the United States and the United Kingdom at no additional cost. Amazon says the experience will expand to additional countries and languages later this year.

For many independent merchants on Amazon’s marketplace, running an ecommerce business requires constant analysis of sales trends, advertising performance, and inventory levels—often across multiple dashboards and reports. Amazon’s new Canvas workspace attempts to consolidate those tasks into a single AI-driven interface that can surface insights and simulate business decisions in real time.

Who should care:
Independent sellers on Amazon’s marketplace, ecommerce operators managing large product catalogs, and software providers building analytics tools for marketplace merchants — because Amazon’s AI Canvas workspace introduces AI-driven decision support tools that could reshape how ecommerce businesses analyze data and manage operations.

Why it matters now:
More than 60% of Amazon’s store sales come from independent sellers, many of them small or medium-sized businesses without dedicated analytics teams. As online marketplaces become more competitive and operational decisions grow more complex—from advertising spend to inventory planning—AI tools that translate raw data into actionable strategies could significantly change how merchants operate.

What decision this affects:
Sellers may increasingly rely on AI systems not just to analyze business performance but to guide operational decisions such as restocking inventory, adjusting marketing budgets, and expanding product catalogs. Over time, Amazon’s integration of agentic AI with Seller Assistant could move parts of ecommerce management from manual analysis toward semi-automated decision systems.

If that trend continues, the competitive advantage for marketplace sellers may depend less on who has the most data—and more on who can act on that data fastest with the help of AI.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.