Amazon’s new AI experience helps sellers visualize and grow their business in real time—here's how it works
Amazon introduced a new “canvas” AI workspace inside Seller Central that blends a chat assistant with live, customizable visual dashboards. The free‑at‑launch feature for U.S. and U.K. sellers uses Amazon Bedrock models (Amazon Nova, Anthropic Claude) and lets sellers run real‑time what‑if scenarios and execute price or restock actions with a single click, with broader multilingual rollouts planned for later in 2024.
Overview
Amazon has launched a new “canvas” interface inside Seller Central that blends an AI‑driven chat assistant with live, customizable visual dashboards. The tool, built on the same agentic AI architecture that powers Seller Assistant, lets sellers pull real‑time data, test scenarios and trigger actions without leaving the workspace. Sellers who adopt the canvas can make faster, data‑backed decisions that directly affect inventory, marketing and product‑launch strategies.
Key Points
- AI‑powered visual workspace — The canvas creates dynamic, personalized charts and tables the moment a seller asks a question, turning raw metrics into actionable graphics.
- Agentic reasoning — Unlike a simple chatbot, the system can plan, simulate and even execute tasks such as price updates or restock orders on the seller’s behalf.
- Integrated with Seller Assistant — The canvas is launched from the existing chat interface, so sellers can switch between conversational queries and visual analysis seamlessly.
- Real‑time scenario testing — Users can ask “what‑if” questions (e.g., a 10 % demand drop) and watch the canvas instantly recalculate revenue, cash flow and storage‑fee impacts.
- Broad availability — The feature is free for all U.S. and U.K. sellers at launch, with multilingual rollouts and additional country support planned for later this year.
How the Canvas Experience Works
- Initiate a query — A seller types a request into Seller Assistant, such as “show me my Q2 sales trends” or selects a suggested prompt. Example: A home‑goods vendor asks for a sales‑by‑region breakdown.
- AI assembles a personalized canvas — The agentic engine pulls the latest data from the seller’s account, applies Amazon Bedrock models (including Amazon Nova and Anthropic Claude), and renders a visual dashboard tailored to the query. Example: The vendor receives a heat‑map of regional sales, a line chart of weekly growth, and a list of top‑performing SKUs.
- Iterative refinement — The seller can ask follow‑up questions or request alternative views, prompting the canvas to modify or add visualizations on the fly.
Analysis & Recommendations
Why This Matters
By turning manual spreadsheet analysis into an instant visual conversation, the canvas cuts hours of work to seconds, enabling faster pricing, inventory and marketing decisions. Sellers can immediately see revenue, cash‑flow and storage‑fee impacts of scenarios and apply the optimal action without leaving Seller Central, driving higher ROI and lower stock risk.
Key Takeaways
- The canvas generates dynamic charts and tables the moment a seller asks a question, converting raw metrics into actionable graphics.
- It leverages Amazon Bedrock models, specifically Amazon Nova and Anthropic Claude, for agentic reasoning and task execution.
- The feature is free for all U.S. and U.K. sellers at launch, with multilingual and additional country rollouts planned later in 2024.
- Sellers can approve AI‑recommended actions (price updates, restock orders) directly in the canvas with one‑click execution.
Recommended Actions
- →Open Seller Central > Seller Assistant, type a prompt like “show me my Q2 sales trends” to launch the canvas and view the generated dashboard.
- →In the canvas, ask a what‑if question such as “what if I increase inventory for SKU 123 by 20%?” to see projected revenue and storage‑fee impacts.
- →Click the recommended action button (e.g., “Apply price increase”) within the canvas to automatically update the listing or create a purchase order.
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