Amazon Seller Assistant is Amazon's AI helper inside Seller Central: it answers account questions, flags problems such as slow-moving stock or compliance gaps, suggests plans, and with your permission can take actions. Check its advice before acting by comparing each claim with the matching report you can open yourself, and approving changes one at a time.
The tool is free according to Amazon, which is part of the trap. A free adviser feels low risk, but a wrongly accepted suggestion about removing stock, discounting or reordering can cost real money. The routine below treats the assistant like a keen new colleague: useful, quick, sometimes wrong, never signing off its own work.
What Amazon says the assistant is
Amazon describes Seller Assistant as an always-on, agentic partner that helps sellers launch, manage and grow their business and, with the seller's permission, takes action for them. It began as a chat helper and was upgraded in September 2025 to work proactively around the clock. A later update added persistent memory of each seller's pricing patterns and inventory cycles, plus custom workflows that keep monitoring conditions even when you are not logged in to Seller Central. Amazon says it runs on Amazon Bedrock, drawing on its own Nova models and Anthropic's Claude.
The workflows Amazon names are practical ones. In inventory, it flags slow-moving fulfilled-by-Amazon products before long-term storage fees apply and suggests whether to keep, discount or remove each. For seasonal demand, it can plan shipments ahead of peaks and propose how to split stock between fulfilment centres and Amazon's warehousing and distribution service, weighing delivery speed against storage cost. It watches account health and can point out listings that may break new product-safety rules or customer service measures nearing a warning level. When you list a product that needs certification, such as some electronics, it checks documents and tells you what is missing. It can also draft seasonal growth plans, and it can suggest new categories or variations of a product from your own sales and catalogue data.
Amazon has also announced a Selling Partner plugin that brings the assistant into Amazon Quick and, in beta, Anthropic's Claude. Amazon describes the plugin as a beta available only in one country's Amazon stores for now, with international expansion to follow, so treat it as something to look for rather than count on.
What it is not
It is not a forecasting service with guaranteed numbers. Amazon's own page talks about demand patterns and seasonal planning, not about projected revenue. It is not a lawyer, accountant or compliance officer; a listing-tool vendor's help page for it says plainly that answers may be incomplete, out of date or wrong, and that it is not professional, legal or financial advice. It sees your Amazon store only, so it knows nothing about your other channels, your supplier's lead times, your bank balance or the stock in your spare room.
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Buy nowWhere to find it and who can switch it on
Look for the assistant inside Seller Central. Because Amazon rolls features out unevenly, it may not look the same on every account or marketplace, and the first thing to do is confirm it exists on yours. If it does, access is controlled through user permissions. A listing-tool help article describes the route for the account administrator: go to Settings, then User Permissions, edit the user, and set Seller Assistant to the level you want. The help article says the change can take up to five minutes to apply, and only an account administrator can grant it.
The levels matter. With edit permission, the same article says, it can view account data and make account-level and product-level changes, such as investigating inactive or blocked listings, helping resolve stranded inventory, analysing storage fees and aged stock, assessing Featured Offer eligibility and looking into open compliance violations. Without edit access its answers may be less detailed and it may be unable to act. That trade-off is a reason to trial it in two stages: limited access for two weeks while you learn how often it is right, then edit for one named person.
Amazon adds two controls worth using from the first day. Sellers choose whether each automated workflow only recommends or also acts, and every action is logged with an audit trail. Set every workflow to recommend-only during the trial, and read the log each week next to your own checking sheet, so you can see what it would have done and whether you would have agreed.
A checking routine that fits in a spreadsheet
Every piece of advice from the assistant belongs to one of five types. Each has a report in Seller Central, or one you can export, that settles the claim. Keep this table as a sheet and tick a row each time you act.
| Claim from the assistant | What to check it against | What would make you say no |
|---|---|---|
| "This product is slow-moving" or "you have too much stock" | Your own sales for the same product over 30, 90 and 365 days, plus units on hand and inbound | The assistant used a window that hides a season, or ignored stock already sold but not yet shipped |
| "Storage or aged-stock fees are about to hit" | The fee estimate and storage reports, with dates | The fee figure does not appear in your report, or the date is further off than stated |
| "Discount or remove this item" | Your per-unit cost, the fee estimate at the new price, and your cash position | The discounted margin per unit is below your floor, or the cash is not needed |
| "Reorder this many" | Supplier lead time, minimum order, cash, sell-through rate | Lead time puts arrival after the season, or the quantity exceeds what you can sell in your cover target |
| "This listing may breach a rule" or "document missing" | The Account Health page and the policy page the assistant links | No matching notice in Account Health, or the policy page does not say what it claims |
Three questions apply to everything. Which figures did it use, and from which period? Can I see the same figure in my own report? And what would change the answer? Ask the assistant these directly; a good answer cites the source and the window, and a vague answer is a reason to slow down. The listing-tool help article suggests the same habit: check the source links it gives, confirm time-sensitive points in Seller Central, and read the relevant help pages.
The main worked example: a "discount or remove" suggestion
Say a small seller has 600 units of a kitchen product. The assistant says the product has about 13 months of stock and suggests a 15 per cent discount to clear it before storage fees rise. Here is how a quick check goes.
First, the stock claim. In your sales report you find 150 units sold in the last 90 days, which is about 1.67 units a day. At that pace 600 units last 600 / 1.67, or about 360 days, roughly 12 months. The assistant said 13. The difference is probably the window: the last 30 days sold only 30 units, a rate of one a day, and 600 days is about 20 months. Neither is wrong; they use different windows. So you ask the assistant "which period did you use?", and it answers 60 days, in which 90 units sold (1.5 a day, so 600 units last about 400 days). Now you know the claim was reasonable, but the weak recent month is the part you must judge yourself, using your knowledge that this product is seasonal and picks up in two months.
Second, the money. The price is $18.00. Your unit cost is $6.00 and Amazon's fee estimate for the product shows $5.40 in fees at that price, so the margin is $18.00 minus $6.00 minus $5.40, which is $6.60 a unit. At a 15 per cent discount the price becomes $15.30, and the fee estimate at that price shows $4.95, so the margin is $15.30 minus $6.00 minus $4.95, which is $4.35.
Third, the two scenarios, using the storage cost read from your own report at about $0.25 a unit a month, and assuming stock falls steadily. If the discount clears all 600 units in three months, revenue after costs is 600 x $4.35 = $2,610; storage on an average of 300 units for three months is 300 x 3 x $0.25 = $225; net $2,385. If you hold and sell at full price over 12 months, it is 600 x $6.60 = $3,960, less storage of 300 x 12 x $0.25 = $900, net $3,060. Holding looks $675 better on paper.
So the assistant's advice is not wrong, and it is not obviously right. It becomes a decision about cash and risk: if clearing 600 units frees $2,385 you can put into a faster-selling product, and you are worried about the aged-stock charge or a price war, discounting may win. If you have the cash and the product is about to enter its season, hold. That is the point of checking. The assistant gave you a prompt to open three reports; the choice was always yours. A cost model for this kind of choice, with fulfilment choices added, is in modelling your own FBA and FBM costs with AI.
Sales projections and product advice
Treating a projection as a starting guess
If the assistant offers a number for next quarter, do not order against it. Put it beside four things: your sales for the last four quarters, the same quarter last year, your planned ad spend and any price changes, and your stock in hand. Suppose it says you could sell 420 units next quarter. Your last quarter was 310 and the same quarter last year was 280, so 420 implies growth of 35 per cent over last quarter. If you are not changing ad spend, adding a variation or moving price, that is a stretch and you plan for about 330 to 360, reordering in two stages. If you are launching a variation, 420 may be sensible. The assistant cannot know which, so tell it your plans and ask it to show its working again.
Product and variation suggestions
Suggestions for new products or variations come from patterns in your sales and catalogue, which makes them a decent source of ideas and a poor source of decisions. Take each idea through the same screen: demand evidence you can see (search volume data, competitor sales rank or reviews), your landed cost, the fee estimate, the likely return rate for that kind of product, and what happens if it does not sell. Our tutorial on how small sellers use AI for listings and reviews covers the listing side once an idea passes.
A compliance flag, checked
Compliance warnings feel urgent, which is when people act without checking. Say the assistant tells you a listing for a plug-in charger may be missing a safety certificate and could be removed. Do three things before you act. Open Account Health and look for a matching notice on that exact product; if there is none, the warning is a precaution rather than a case against you. Open the policy page the assistant links and read what it requires for that product type, noting the date on the page. Then find your supplier's test report or certificate and see whether it covers the exact model you list.
Outcome A: the notice exists and your certificate is on file; you upload it and reply. Outcome B: no notice, but your supplier cannot produce a certificate; you now have a real problem the assistant did well to catch, and you stop selling that product until it is resolved. Outcome C: the policy page does not mention your product type at all; you ask the assistant which policy it relied on, and if it cannot name one, you ignore the flag and log it as wrong. Which outcome you are in depends entirely on documents you hold, which is why a rule about what a regulator or certifier requires should come from their pages, not from the assistant, and why anything touching legal compliance deserves a qualified adviser.
What goes wrong when sellers follow it too quickly
Picture a seller who accepts a suggestion to reorder 800 units ahead of a seasonal peak. The assistant had correctly seen the pattern in sales; it did not know that the supplier needs eight weeks and the peak starts in five. The stock arrives after the sales window and sits there. Nothing the assistant said was false. The missing information lived outside Amazon: the supplier's lead time, which the seller never gave it.
The fix is to put your own constraints into the conversation before asking for a recommendation: lead time, minimum order, cash available, margin floor, and the number of months of cover you will accept. Then ask for advice inside those limits and ask it to list the assumptions it made. The more of your constraints it has, the less it fills the gaps with plausible guesses.
Other patterns to watch:
- Stale policy. A compliance point may reflect a rule that changed. Always open the policy page it links and read the date and wording.
- One-account view. It does not know the stock you hold elsewhere, so a "remove" suggestion may ignore stock you could sell on another channel. See syncing stock across channels for keeping that picture in one place.
- Fee assumptions. It can quote fee estimates at one price and one size tier. If a size tier changes, the numbers change.
- Action creep. Edit permission lets it act. Approve each action one at a time, and read what will change before you press the button.
Putting a second opinion beside it
For anything above a few hundred dollars, a second check with a general chat assistant costs little. Export the relevant reports, take out customer names and any private data, and give the numbers to the second assistant with an instruction to work out the same question from scratch: "Here are 90 days of sales by day, units on hand and the fee estimate at two prices. Compute months of cover on the 30, 60 and 90 day averages, and margin per unit at each price. Show every step." Then compare with Seller Assistant's claim. If the two disagree, the disagreement tells you which assumption to examine. Do the arithmetic yourself in a spreadsheet for the final decision, because chat assistants slip on sums, especially percentages and averages taken over uneven windows.
Some sellers use a paid ad or listing tool in addition. The break-even sums for those are in whether AI Amazon PPC software is worth it, and the split between people and AI is covered in which tasks go to a virtual assistant and which to AI.
A weekly routine of fifteen minutes
- Open the assistant and ask what it flagged this week. Note each point in your sheet with the date.
- For each point, find the report that settles it, copy the figure, and write what the assistant said next to what the report says.
- Mark each: agree, agree with a different window, or disagree. Over a month the ratio tells you how much weight to give it.
- Decide the action yourself, using your own constraints, and record the reason in a sentence.
- If it was wrong or incomplete, give the answer a thumbs down and say what was missing; the listing-tool help article says that feedback is reviewed.
After four weeks you have a log of perhaps 15 to 25 claims. If most were right and the misses were windows or missing constraints, widen its permissions for the low-risk actions and keep human sign-off for stock orders and price changes. If it was often wrong about your products, keep it read-only and use it as a prompt for where to look. Either way, you have replaced a feeling about whether the tool is any good with a record. If you want help setting up that record against your own Seller Central reports, that is what my AI implementation consultation covers, and you can start from the contact page. And when the assistant's product advice has you weighing another channel, comparing a second marketplace with Amazon is the next question to answer.
Questions sellers ask before switching it on
Does Amazon Seller Assistant cost anything?
Amazon's announcement describes it as free, at no additional cost to sellers. Pricing and plans can change, so confirm in Seller Central or on Amazon's own seller pages before relying on that. Any third-party tool that wraps it, or sells access to a similar assistant, will have its own separate price.
Can it change my listings or prices without asking?
Amazon says it takes action only with the seller's permission, and that sellers review and approve. Account administrators control who has permission, so keep edit access off until you have tested it, and grant it only to a user you trust to read each proposal.
Is it available in every marketplace?
Not necessarily. Amazon rolled it out store by store and has said more marketplaces would follow. Check whether the assistant appears in your own Seller Central, and whether your language and marketplace are supported, rather than assuming a feature you read about is on your account.
Should I trust its sales projections?
Treat them as a starting guess. Amazon's own description of the tool focuses on seasonal planning and demand patterns, not guaranteed forecasts. Compare any projection with your last four quarters, your planned ad spend and your stock position before you order anything because of it.
Further reads
- AI Tool for Amazon Listing Copy: Bullets, Search Terms and Checks — Once advice is accepted, writing the listing copy.
- AI Accounting for Ecommerce: Reconciling Payouts and Fees — Reconcile payouts and fees against what the assistant says.
- AI Tools for Resellers: Price Used Stock From Sold-Listing Data — Pricing stock from sold-listing data.
- How to Catch Outdated Information in AI Answers — Catching outdated points in any AI answer.
- How to Catch Made-Up Figures in AI-Drafted Proposals — Spotting figures an AI invented.
- Amazon Buyer-Seller Messaging: AI Replies Within the Rules — A draft-then-screen routine for Amazon buyer messages: what AI may write, what Amazon blocks, and a rules checklist to run on every reply.
- Amazon FBA Reimbursement: Spot Lost and Damaged Stock Using AI — Reconcile three Seller Central reports with AI to find units Amazon lost or damaged and never paid for, and file the claim with evidence.
- Amazon Plan of Action: Draft an Appeal With AI, Truthfully — Build a fact file first, then let AI draft the root cause, corrective actions and preventive actions strictly from your own records.
- Amazon Review Analysis With AI: Find What Buyers Want — Use Voice of the Customer or hand-copied public reviews, have AI group the themes, then turn them into bullet rewrites and product fixes.
- Amazon Search Term Report With AI: Find Wasted PPC Spend — Export the search term report, let AI flag terms with clicks but no orders and group them into a negative keyword list, then decide yourself.
- Does Amazon Allow AI-Generated Product Images? What Passes Review — Amazon's image guide does not ban AI images, but it does ban inaccurate ones. A rejection checklist built around one listing.
- Does Amazon Have an AI Tool for Sellers? Seller Central Features Ranked — Amazon's free Seller Central AI features ranked by the minutes each saves per listing, with the checks each one needs.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Amazon's Seller Assistant agentic AI announcement (17 Sep 2025) and Selling Partner plugin announcement on aboutamazon.com, and Zentail's help article on Amazon Seller Assistant (all checked 5 Nov 2026); all figures in the worked example are illustrative.