AI agents

Custom AI agents that run your Amazon and marketplace operations

Short answer

An AI operations agent watches your marketplace, ad and inventory data, does routine work within the rules you approve, and sends purchase orders, budget changes and unusual cases back to your team with the evidence. We build and deploy these agents on your own Amazon, Walmart, TikTok Shop and Shopify accounts. Each page below says which steps follow fixed rules and which use an AI model.

Inventory agent

An AI inventory agent for Amazon brands that also sell on Walmart and Shopify: stockout alerts, draft POs and FBA shipment plans within rules you set.

Rules · AI model · Your approval

Advertising agent

How an AI agent for Amazon PPC sets bids from each SKU's margin after fees and days of cover, on your own ad accounts, with budget changes sent for approval.

Rules · AI model · Your approval

Multichannel operations agent

An AI agent for Walmart and TikTok Shop sellers that syncs stock with Amazon, routes each order to MCF, WFS or a 3PL and sends exceptions to your team.

Rules · AI model · Your approval

Listing and catalog agent

Multichannel catalog management automation: one master record, per-channel rules for Amazon, Walmart, TikTok Shop and eBay, and approval before publishing.

Rules · AI model · Your approval

Finance and recovery agent

An FBA reimbursement and fee audit agent on your own Amazon account: finds lost units and fee overcharges, preps claims your team files, reconciles payouts.

Rules · AI model · Your approval

Account health agent

Amazon account health monitoring automation that flags rating drops, suppressed listings, hijackers, stranded stock and Buy Box losses, then drafts each fix.

Rules · AI model · Your approval

The agent register

Agent	What starts it	What it does within your rules	What comes back to your team	Rules and model steps
Inventory and replenishment agent	A daily run after the overnight inventory and sales sync, plus an extra run when a SKU's days of cover crosses its threshold or a supplier date or inbound status changes.	Recomputes days of cover, reorder points and safety stock for every SKU on each run Sends a stockout alert when a SKU will run out before its next inbound can be sold, with the evidence attached Drafts supplier purchase orders in case-pack multiples that meet the supplier's minimum order Drafts FBA inbound plans and 3PL or AWD transfers sized to the cubic feet left under your capacity limit Flags SKUs heading for a stockout to your advertising agent or ad manager Updates expected arrival dates on open POs when a supplier confirms a new date, and replans Holds slow sellers out of the next PO and flags units that will reach the surcharge age at the next monthly snapshot	Every supplier purchase order, before it goes to the supplier FBA inbound plans, WFS inbounds and 3PL transfers, before anything ships Removal, disposal and liquidation orders, price cuts and deals for aged stock Paid options to close a gap: air freight, a Capacity Manager request with a reservation fee, a split PO Lead-time drift beyond your tolerance, and forecasts that disagree sharply with recent sales or Amazon's restock recommendation	6 rule steps · 4 model steps
Advertising agent	A daily run once Amazon Ads reports land, an hourly check on Amazon Marketing Stream data, and any stock, cost or fee change that moves a SKU across a threshold you set.	Lowers bids on a SKU's keywords and targets when its days of cover falls below lead time plus safety-stock days Pauses a SKU's Sponsored Products ads at the stock floor you set, and restores the saved bids and ad states once new stock is received Lowers bids on targets whose ACOS stays above that SKU's break-even, one capped step per run Raises bids on deep-stock SKUs with margin headroom, up to the ceiling you set Adds search terms that pass your click threshold without a sale as negatives when the relevance check is clear, never touching protected terms Logs every change with the rule, the old value, the new value and the time	Budget increases and budget moves between campaigns New break-even and target ACOS values after a cost or fee change Sponsored Brands creative swaps when a featured SKU runs low New keywords and targets harvested from search terms Unusual swings in spend, CPC or conversion rate Walmart Sponsored Search changes, sent as recommendations when there is no campaign-management API access	6 rule steps · 4 model steps
Multichannel operations agent	A new or changed order on any connected channel, a stock change at any fulfillment node, and a scheduled check ahead of each channel's ship-by cutoff.	Publishes a buffered sellable quantity per SKU to every connected channel when stock moves Sends each order that passes every rule to the top-ranked eligible node, with the channel's required settings, such as blank boxes and Amazon Logistics blocked for Walmart orders sent to MCF Where you ship the parcel yourself, buys the label on the cheapest service that still meets the channel's deadline Writes tracking back to the channel the order came from	Orders no single node can fill, with a proposed split or backorder Routes that would take Amazon days of cover below your floor Orders whose cheapest eligible route breaks your cost ceiling Orders at risk of missing a channel deadline, with a proposed re-route or customer message Cancellation and address-change requests, with a drafted reply 3PL counts that disagree with the stock ledger	6 rule steps · 5 model steps
Listing and catalog agent	A new or changed product in your master record, a scheduled drift check of every live listing, and any listing issue, suppression or failed review a marketplace reports.	Pulls every channel's live listings on a schedule and compares each field with the master record Drafts each channel's version of a new or changed product within that channel's limits Runs every validation the marketplace offers before submission, such as Amazon's validation preview and TikTok's Check Product Listing Re-publishes already approved text where a live listing has drifted from it, if your rules allow Queues large catalog pushes inside each marketplace's upload limits Tracks each submission until it is live, and reopens the task with the reason when it fails	Every new listing or new channel launch, with the channel preview and the validation result Model-drafted titles, bullets, key features and descriptions before they are first published Product claims about materials, safety, certificates or compatibility that are not in the approved fact sheet Category, product type and identifier choices, including TikTok identifiers that lock once a product is submitted for review Changes a marketplace made to your listing, such as an Amazon title rewrite, with a proposal to accept or override it Failed reviews and suppressed listings, with the marketplace's reason and a proposed fix	6 rule steps · 6 model steps
Finance and recovery agent	A daily run after Amazon's ledger, reimbursement and returns reports refresh, a run when a new settlement report posts, and a run when a held case reaches its claim window.	Matches every lost, damaged, short-received or unreturned unit against units found and reimbursements already paid, and closes the cases Amazon paid on its own Holds each open case until its claim window opens and ranks the queue by days left before the window closes Assembles the claim packet: IDs, quantities, dates, the invoice, the proof of delivery or photos, and a drafted description Compares the FBA fulfillment fee charged on each unit with the rate for the SKU's measured size tier, shipping weight and price band on the date the unit shipped, and flags candidates inside the 90-day window Checks each settlement: rows against the report total, the total against the bank deposit, and refund rows against the refund administration fee rule Checks 3PL invoice lines against the units actually received, stored and shipped Tracks each submitted case to paid, denied or reversed, and updates the case history and stock records	Every reimbursement claim, before a person on your team submits it in Seller Central Remeasurement requests and disputes over FBA fees charged on the wrong weight or dimensions Sourcing cost updates, and disputes of reimbursements paid below your sourcing cost Denied cases, with Amazon's reason and a proposed next step Settlement and deposit variances above the threshold your finance lead sets 3PL invoice lines that bill for activity that did not happen, for your warehouse contact	7 rule steps · 5 model steps
Account health agent	Amazon's notifications as they arrive (account status, listing issues, offer and Buy Box changes, pricing health), plus scheduled requests for the seller performance, suppressed listings, stranded inventory, feedback, and sales and traffic reports.	Sends each alert to the owner you name, in Slack, email or text, with the ASIN, Amazon's notice and any deadline Ranks open issues by severity, deadline and the sales at stake, so the most urgent one is handled before the rest Assembles the evidence for a policy violation: invoices, supplier documents, listing history, orders and earlier notices Drafts the listing fix, the plan of action or the IP response for a person to edit Flags suppressed, stranded or Buy Box-less ASINs to your advertising agent or ad manager Escalates an alert nobody has acknowledged before its deadline to the next person on your list Rechecks each issue after a fix and closes the alert only when Amazon clears it	Every appeal, dispute and plan of action, which a person edits and submits on the Account Health page Responses to IP complaints, including any request to a rights owner for a retraction Reports against another seller through Brand Registry's Report a Violation tool or Project Zero Listing edits to lift a suppression, and price changes to regain Featured Offer eligibility Removal orders for stranded units, and any case opened with Amazon's support teams	8 rule steps · 5 model steps

Which operations can AI agents run today, and which need a person?

Agents are good at work that repeats and follows your rules: checking days of cover every morning, drafting a purchase order when a SKU reaches its reorder point, flagging ads that keep spending on a product about to run out, or catching a listing that changed without anyone noticing. Decisions that commit money or speak for your brand stay with a person. For a task-by-task view of what to hand to Amazon's own tools, to API rules or to an agent, see how to automate Amazon operations. Purchase orders, budget changes, reimbursement claims, appeals and replies to customers come back to your team with the evidence and a proposed next step.

Which steps use rules, and which use an AI model?

Most of an operations agent is plain rules: thresholds, schedules, approval limits and the checks that stop an action. A model is used where fixed rules break down, for example forecasting demand from noisy sales history, reading a supplier email or drafting the note that explains a proposed order. Every agent page lists its rule steps and its model steps separately. Software that runs on rules alone is rule-based automation, and we call it that.

Who owns the agents, the code and the data?

The agents run on your own seller, ad and marketplace accounts, not on ours, and they read data through the official APIs you authorize, such as Amazon's Selling Partner API. You keep your accounts, your data and the custom code we build; the Growth OS base is licensed to you. We never buy your inventory or sell under our own accounts.

How are the agents designed to follow Amazon's Agent Policy?

Amazon's Agent Policy sets rules for software that acts inside a seller's account. We design each agent to follow it: the agent works through Amazon's APIs on accounts you authorize, acts only within the rules you approve, and leaves anything outside those rules to a person on your team. Our guide to Amazon's Agent Policy explains the rules themselves.

How is a custom agent different from an AI feature in a SaaS tool?

A SaaS agent runs on the vendor's platform, with the vendor's rules and the data that platform holds. A custom agent runs on your accounts, can read every channel and system you connect, such as Walmart, Shopify, your 3PL and your ERP, and follows the rules you set. If you are weighing the two, our comparison of a SaaS tool stack and an owned system lays out the trade-offs. Shopping assistants that recommend products to buyers are a different kind of agent, covered under agentic commerce.

How does an engagement start?

Start with the free 24-hour diagnostic of your Amazon account, or schedule a call. We map the operations gaps first, then scope the agents that close them on top of Ecomsellertool Growth OS, in an architecture doc with a fixed price and go-live date. Our team has built on Amazon's seller APIs since 2017, and the software behind these agents comes from systems we have built for clients such as Amazify.

Frequently asked questions

Can AI agents manage Amazon Seller Central on their own?

Not entirely, and we do not build them to. An agent can monitor your accounts, prepare drafts and run routine actions within the rules you approve. Purchase orders, budget changes, reimbursement claims, appeals and customer replies come back to a person on your team with the evidence and a proposed next step.

What does it take to deploy an agent on our accounts?

Access to the accounts and systems the agent needs, authorized through their official APIs, and a few hours with the people who make the decisions today, so the rules match how you work. Each agent is scoped in an architecture doc with a fixed price and go-live date before work starts.

Who owns an agent after it is built?

You keep your accounts, your data and the custom code we build; the Growth OS base is licensed to you. The agent runs on your accounts, not ours.

Is a rule-based automation an AI agent?

No. Software that only follows fixed rules is rule-based automation, and we describe it that way. We call something an agent only when part of its work uses an AI model, and every agent page lists which steps are rules and which use a model.

Jaimin Dholakia, founder of Ecomsellertool — Jaimin Dholakia · Founder

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