New plugin for Amazon Quick and Anthropic’s Claude

What Does Amazon Quick and Claude Mean for Sellers?

Amazon Quick and Claude now connect to Seller Assistant through a new Amazon plugin, so sellers can ask AI about their live Amazon business without exporting reports. It is one of the biggest steps Amazon has taken toward letting AI do work for sellers, not just answer questions.

Running an Amazon business means dozens of small decisions a day. Should we restock this SKU now or next week? Is a competitor undercutting us? Why did that rating slip? The data exists, but pulling it together across reports, tools and spreadsheets is still mostly manual.

On September 23, 2026, Amazon announced an upgrade aimed at that problem. Seller Assistant now remembers each seller’s business, runs automated workflows around the clock, and reaches outside AI tools through the new plugin. Amazon Quick and Claude are the first two tools to get it, with Claude in beta. This guide covers what changed, who benefits, and what to set up before switching anything on.

What Is Amazon Seller Assistant?

Amazon Seller Assistant is Amazon’s AI helper inside Seller Central. Amazon launched it in 2023 as a generative AI companion that answers questions and simplifies tasks, then added agentic abilities: reasoning, planning and acting on a seller’s behalf, with permission.

According to Amazon, Seller Assistant has reached over 90% of its selling partners worldwide in their own language. It has hundreds of thousands of active users, and sellers accept its recommendations more than 90% of the time. Amazon does not publish the method behind that acceptance figure.

Amazon says the new version is powered by Anthropic’s Claude models through Amazon Bedrock, and that seller data stays within Amazon’s infrastructure and is not shared outside Amazon.

What Is New in Seller Assistant?

Three things are new: persistent memory, workflows that run around the clock, and a plugin that takes Seller Assistant into Amazon Quick and Claude. The first two change how the assistant behaves; the third changes where you can use it.

1. An assistant that remembers your business

Seller Assistant now keeps a persistent memory of each seller’s pricing patterns, inventory cycles and growth goals. Most AI tools work session by session; this one is meant to sharpen its advice over time. Amazon says the memory travels with the seller across Seller Central, Amazon Quick and Claude.

Two details stand out. Every recommendation comes with its reasoning, so sellers can judge it instead of accepting it blindly. Sellers can also open a canvas, a visual workspace to model scenarios, compare pricing options and dig into campaign performance using live data.

Context matters here. A brand with strong seasonal demand sees sales spike for two months, then drop as expected. An assistant that does not know this might flag a problem or suggest restocking at the wrong time. Memory lets it read each question in the context of how the business actually runs.

It is not a guarantee of good advice. Supplier lead times, competitor moves and ad costs change quickly, so tell the assistant when your strategy shifts.

2. Workflows that run 24/7

Seller Assistant workflows are background automations that keep running even when the seller is logged out. Sellers describe what they want in plain language and set guardrails. This is the change most sellers will feel first, because many tasks repeat daily: stock thresholds, competitor prices and account health alerts.

• Simple: alert me if any top-10 product drops below a 4-star rating, and draft a response plan.
• Advanced: watch my top category for competitive openings, then adjust pricing and refresh listings.

Amazon also offers ready-made templates for monitoring account health, summarising orders, analysing pricing trends and finding product expansion opportunities. Each workflow either recommends or acts. When it acts, the seller reviews and approves first, and every action is logged in an audit trail.

Ratings, inventory and pricing are the obvious first candidates. For each, the workflow does the watching and drafting while you weigh lead times, stock in transit, margin and ad costs before approving.

Four things to write down before a workflow goes live

Record what the workflow can monitor, what it can recommend or do, when it needs human approval, and who reviews the results. A workflow without these four answers is an automation with no owner.

How Does Amazon Quick and Claude Bring Seller Assistant to Your AI Tools?

The Amazon Selling Partner plugin connects a seller’s Amazon data and Seller Assistant to their preferred AI agent. That includes listing data, real-time performance metrics, inventory levels and sales analytics, and the connected AI can act on the business, not just read from it.

The reason is practical. According to Amazon, about 90% of its selling partners already use third-party AI tools to run their businesses. Rather than forcing everyone into Seller Central, Amazon is bringing Seller Assistant to those tools. Per GeekWire’s report from Amazon’s Accelerate conference, sellers can check inventory, change prices and update listings without opening Seller Central.

Without a connection, using AI on an Amazon business usually means downloading reports, cleaning them, uploading them, explaining the context, and repeating it whenever numbers change. With the Amazon Quick and Claude plugin, much of that preparation disappears. Instead of asking “how can I improve my Amazon sales?”, a seller can ask why a specific product is slowing down and get an answer built on their own data.

What limits does the Amazon Quick and Claude plugin have?

Amazon says each plugin interaction has clear limits on what it can access, requires human approval for actions, and is recorded in an audit trail. GeekWire adds that sellers choose which data types the plugin can reach and approve each action before it runs.

Amazon Quick and Claude: How Do the Two Plugin Versions Differ?

Amazon Quick is Amazon’s own AI companion for work, while Claude is Anthropic’s AI assistant, and the plugin works in both as different products. Availability, supported workflows and setup steps may differ, so follow the instructions for the tool you plan to use.

The plugin in Amazon Quick

Amazon Quick creates documents and spreadsheets, runs deep research, and connects to the email, calendar and files a team already uses. It works across phone, web and desktop, and conversations carry over between devices. With the plugin, sellers can bring Amazon data next to finance, marketing and manufacturing data, so the AI sees the full picture.

Sellers can also build their own agents in Quick, such as a pricing agent, a listing agent or a restock agent. Quick shows what it plans to do and waits for approval. There is a strong incentive to try it: every primary account holder worldwide can sign up for a free 12-month Amazon Quick Plus subscription until December 31, 2026, and can nominate two co-workers for a free year.

The plugin in Claude (beta)

Many sellers already use Claude to connect data across sales channels, accounting software and supplier systems. With the plugin, currently in beta, they reach Seller Assistant itself inside Claude. Amazon says it connects in about 60 seconds with no coding.

Anthropic’s field CTO, Eric Burns, said in Amazon’s announcement that sellers make dozens of decisions a day on pricing, inventory and ads, and that the plugin brings data-driven insights into their Claude account. Atlas Bar founder James Oliver, an early beta tester, said he used to spend hours manually connecting Amazon data to AI tools and that it is now built in.

Both quotes about Amazon Quick and Claude are early, single-seller feedback, not measured results. Amazon has not published time-saving data.

Where Will Amazon Quick and Claude Help Sellers Most?

The biggest gains from Amazon Quick and Claude are likely in listing optimisation, advertising analysis and inventory planning, because each needs several data sources read together. The AI can organise the analysis; the final decision still needs the seller’s knowledge of margins, goals and supply chain.

Listing optimisation

AI can already write listing copy. What has been missing is the link between content and performance. For a product with plenty of traffic but few orders, a connected assistant can help investigate the causes: unclear product details, images that leave questions unanswered, a weak price against similar offers, mismatched ad traffic, or stock and offer issues.

These are areas to investigate, not automatic answers. Every AI-generated listing needs a human check for accuracy, search relevance, brand fit and Amazon’s policies, especially in regulated categories where an unsupported claim can cause real trouble.

Advertising analysis

Advertising is rarely about one metric. A campaign can drive clicks but few orders, and another can sell well while eating the margin. Seller Assistant connects ad performance with other signals, and the canvas lets sellers model scenarios with live data.

The final call depends on margins, campaign goals and product stage. A launch campaign with a high ACoS may be fine, while a “cheap” campaign adding little incremental sales may not be. Our guide to AI PPC management explains how to set safe targets before automating ads.

Inventory and replenishment

Stockouts lose sales, and overstock ties up cash and adds storage fees. Continuous monitoring catches issues between scheduled reviews, but a threshold alone rarely makes a good purchase. A solid restock plan also weighs sales speed, seasonality, supplier and shipping lead times, stock in transit, storage limits, minimum order quantities and cash flow.

Is Amazon Quick and Claude Available to Everyone, and What Does It Cost?

The Amazon Quick and Claude plugin is in beta for sellers in Amazon’s U.S. stores, with international expansion planned but undated. New Seller Assistant capabilities are described as available at no additional cost.

Amazon has not said what Quick Plus costs after the free year, and it has not said how to get Claude beta access. Check your own account and the terms of any third-party tool before relying on either.

What Are the Risks of Amazon Automation With AI?

The main risks of Amazon Quick and Claude automation are wrong recommendations from incomplete data, costly actions taken too fast, and loose access control. An incorrect price change or unnecessary listing edit can cost real money, which is why guardrails and approvals exist.

• A pricing workflow with no minimum price can follow a competitor below your margin.
• Incomplete data can produce confident but wrong recommendations.
• An unreviewed listing edit can add an unsupported claim in a regulated category.
• A beta plugin can change behaviour, so critical tasks need testing first.
• Unclear account ownership lets the wrong person connect or manage the integration.

Guardrails that work

• 1Start with recommendations — run new workflows in suggest-only mode before allowing actions.
• 2Set tight limits — define price floors and ceilings, stock limits and which products a workflow can touch.
• 3Review the audit trail — check logs regularly, especially in the first few weeks.
• 4Keep a human in the loop — brand, positioning and long-term strategy need people who know the business.

Who controls the platform?

GeekWire notes that Amazon decides which AI platforms get integrated, and that Amazon is a major investor in Anthropic, whose Claude models already power Seller Assistant. That does not make the plugin unsafe. It does mean the connection depends on Amazon’s terms, which can change.

Five questions to answer before connecting an account

1. What can it access? List the account information the integration can read.
2. What can it do? Separate actions that run freely from those needing explicit approval.
3. Where is the log? Know where to review the activity record.
4. Who may connect it? Name the people allowed to connect or manage the integration.
5. What other terms apply? Check the terms of any third-party tools in the workflow.

For agencies managing several client accounts, connecting Amazon Quick and Claude matters even more. Each client needs clear account ownership, approved access and agreed responsibility for any workflow that can change live listings or prices.

How Do You Get Started With Amazon Quick and Claude?

Start small with Amazon Quick and Claude: try Seller Assistant first, automate one repetitive task, and review results after two to four weeks. Expanding only after the numbers justify it keeps risk low.

• 1Try Seller Assistant — ask it about your top products in Seller Central and see how it reasons.
• 2Pick one repetitive task — stock checks or rating alerts, built from a template.
• 3Check your data — accurate listings, costs and inventory make better recommendations.
• 4Claim the Quick Plus year — sign up before December 31, 2026 and add two team members.
• 5Test the Claude plugin — connect the beta alongside your other data sources if you use Claude.
• 6Set approval rules — decide which actions always need a person.
• 7Measure properly — track time saved, alert accuracy, real issues caught and unnecessary recommendations.
• 8Keep or drop each workflow — keep it because it improves the business, not because it uses AI.

What Do We Think of Amazon Quick and Claude?

We see Amazon Quick and Claude as one of the most important seller updates of the year. Persistent memory, always-on workflows and the plugin together move Seller Assistant from a helpful chatbot toward something closer to a virtual team member.

The impact of Amazon Quick and Claude differs by seller type:

• Small sellers and solo founders gain most by catching problems sooner and making existing data easier to use.
• Established brands can coordinate decisions across teams, but need approval steps, integration testing and change management.
• Agencies can spend less time on routine reporting and more on strategy, ad strategy, account health and profitability planning.

There are fair questions. How reliable are workflows when markets move fast? How well do guardrails hold up in practice? How quickly will the plugin spread beyond the U.S., Quick and Claude? Giving any AI the power to change prices and listings also calls for clear internal rules.

Our advice

GlancePeak pairs AI-powered analysis with a human specialist who reviews changes before they matter, so we hold Amazon Quick and Claude to the same standard: suggestions first, actions later, every step logged. As AI takes over routine work, agencies will be judged on the quality of their decisions and results. Our pricing page shows how we structure that support.

AI in e-commerce is moving from answering questions to doing the work. With this update, Amazon sellers get an assistant that remembers their business, watches it around the clock, and now follows them into tools like Amazon Quick and Claude. The sellers who benefit most will set it up carefully, with clear guardrails, a gradual move from suggestions to actions, and regular reviews.

Technology can take on the repetitive work. Good judgement still has to come from the people running the business. If you want a team accountable for the Amazon side while you explore these tools, start with a free audit.