Amazon Rolls Out Agentic AI for Third-Party Sellers as E-Commerce Automation Expands
Amazon is taking its push into agentic artificial intelligence deeper into its marketplace, introducing a new AI service that can continuously monitor and act on tasks for third-party sellers.
The new capabilities are being added to Amazon's Seller Assistant, moving the tool beyond simply answering questions. The system can now run ongoing “workflows” based on seller instructions, including monitoring product prices and alerting sellers when ratings fall sharply. Amazon says the service is optional and available to sellers at no additional cost.
The move comes as technology companies increasingly shift from chat-based AI toward AI agents—software that can perform a sequence of tasks with limited human intervention. For Amazon, bringing that technology directly into seller operations could make its marketplace more automated while strengthening the tools available to the millions of businesses that depend on the platform.
What Amazon's new agentic AI can do
Traditional generative AI mainly responds to a user's prompt. Agentic AI is designed to go a step further by monitoring information, reasoning through a task, creating a plan and, where authorised, taking action.
Amazon's updated Seller Assistant is built around that model.
The new workflows can operate continuously rather than requiring sellers to repeatedly ask for updates. For example, a seller can instruct the system to monitor pricing for particular products or flag sudden deterioration in product ratings. Seller Assistant can also retain information about an individual seller's profile to make recommendations around pricing, promotions and inventory management.
That distinction could be important for small businesses. Instead of checking several dashboards every day, sellers can potentially delegate parts of that monitoring process to an AI system.
Amazon says Seller Assistant is powered through Amazon Bedrock and uses Amazon Nova and Anthropic's Claude models alongside Amazon's own seller expertise and data.
Inventory management is a major focus
Inventory is one of the areas where agentic AI could have a direct operational impact.
Amazon says Seller Assistant can monitor inventory and identify slow-moving products before they generate additional long-term storage costs. It can recommend actions such as reducing prices or removing selected inventory.
The system can also analyse demand patterns and help prepare shipment recommendations. For seasonal demand, for example, it can compare historical sales information with current trends and produce an inventory plan covering allocation between fulfilment locations and Amazon's warehousing and distribution network.
For sellers, the potential benefit is not simply convenience.
Poor inventory decisions can tie up working capital, increase storage expenses or result in products going out of stock. An automated system that identifies these issues earlier could potentially improve operational efficiency.
The actual financial benefit, however, will depend on the quality of the recommendations and how sellers implement them.
Seller Assistant is becoming more proactive
Amazon has been gradually developing Seller Assistant from a question-and-answer tool into a broader business-management platform.
The company says the system can monitor account health, identify potential compliance issues and alert sellers before problems affect their operations. In some cases, sellers can approve recommended actions that the system then implements.
Amazon gives the example of a product listing that inadvertently suggests a product is a pesticide. The assistant can flag the potential regulatory issue, explain why it matters and provide possible solutions. If the seller approves the chosen approach, the system can implement the resolution.
This represents an important change in the role of AI inside e-commerce.
The AI is not merely helping a seller find information. It is increasingly becoming an operational layer between the seller and Amazon's marketplace tools.
Amazon is also bringing AI into seller advertising
The company's agentic AI push extends beyond inventory and compliance.
Amazon has added agentic capabilities to Creative Studio, allowing sellers to create advertising concepts through conversational prompts. Amazon says the system can analyse products alongside shopping signals and generate tailored advertising ideas.
Amazon has cited an example in which a seller using its AI-powered Creative Studio generated a Sponsored Video advertisement that recorded a 338% increase in click-through rate compared with the seller's other active Sponsored Video ads, along with 89% new-to-brand offers and a 121% return on ad spend.
Those figures are Amazon's own reported example, rather than independently verified industry-wide results. They therefore should not be interpreted as a typical performance outcome for every seller.
Still, the example illustrates why Amazon has an incentive to integrate AI into seller advertising: better tools can potentially encourage businesses to create more campaigns and spend more effectively within Amazon's advertising ecosystem.
Amazon's seller base makes the strategy significant
The scale of Amazon's independent-seller ecosystem gives these tools considerable potential reach.
Amazon India said in September that the seller base on Amazon.in had crossed 20 lakh sellers, with more than 3 lakh sellers joining the marketplace. The company also said seller interactions with its AI-powered Seller Assistant had grown 7.5 times year over year, while adoption of AI advertising tools increased 77% year over year.
Amazon's global seller ecosystem is similarly important to the company's marketplace economics. More than 60% of sales in Amazon's store come from independent sellers, according to Amazon's seller information.
That makes seller productivity strategically relevant to Amazon itself.
If AI helps sellers manage listings, inventory, advertising and compliance more efficiently, it could strengthen the overall marketplace by making it easier for businesses to remain active and expand their product ranges.
Why this matters for Amazon investors
The new agentic AI service is unlikely to be viewed as a standalone near-term revenue driver.
Its importance is more structural.
Amazon operates several businesses around the third-party marketplace, including fulfilment and advertising. The more effectively sellers operate on Amazon, the greater the potential for activity across those related services.
AI could therefore create value indirectly.
For example, a seller that receives better inventory recommendations may avoid stockouts and sell more products. A seller that can produce advertising creative faster may run more campaigns. A business that receives earlier compliance warnings may avoid disruptions.
Those outcomes could increase engagement with Amazon's marketplace infrastructure.
At the same time, Amazon is providing the new agentic capabilities without an additional charge, according to Reuters. That suggests the immediate objective is adoption and ecosystem efficiency rather than direct monetisation of the AI feature.
A bigger battle over agentic commerce
Amazon's seller-focused AI rollout comes at an important moment for the broader e-commerce industry.
AI agents are increasingly being developed to interact with online stores on behalf of consumers as well as businesses. Amazon itself has been expanding its AI shopping capabilities, while other technology companies are exploring agents that can search for products and complete transactions.
That creates a strategic question for marketplaces: Who controls the customer interaction when an AI agent becomes the interface for shopping?
Amazon's new Seller Assistant addresses the issue from the merchant side. The company wants sellers to use its own AI infrastructure to manage their Amazon businesses rather than relying entirely on external tools.
The approach also gives Amazon greater control over how AI interacts with seller data and marketplace operations.
Data, permissions and AI risks
Agentic AI introduces a different set of risks from ordinary chatbots.
When an AI system can take actions rather than merely provide information, mistakes can have operational consequences. An incorrect pricing recommendation, inventory decision or compliance action could potentially affect a seller's business.
Amazon says sellers remain in control and can determine how much personal data they share with the new agentic service. The company has also made the system optional.
That makes permission controls, transparency and the ability to review AI recommendations particularly important as these systems become more autonomous.
For sellers, the sensible question is therefore not simply whether AI can save time, but whether the AI's decisions can be monitored and reversed when necessary.
What to watch next
The next phase will be about how deeply sellers integrate agentic AI into daily operations.
Key areas to monitor include:
Adoption of Seller Assistant among small and medium-sized sellers
Expansion of agentic features into more Amazon marketplaces
The number of tasks that AI can execute with seller approval
AI-driven advertising adoption and performance
Inventory and fulfilment efficiency
Integration with external AI tools and models
How Amazon handles data permissions and agent security
Amazon says additional agentic capabilities will continue to be introduced, while its earlier rollout indicated plans to expand Seller Assistant beyond the U.S. store.
Conclusion
Amazon's latest agentic AI rollout pushes Seller Assistant beyond a conventional chatbot and toward an always-on operational assistant for third-party sellers. The system can monitor pricing and ratings, support inventory decisions, flag account-health problems, assist with compliance and help generate advertising strategies, with sellers retaining control over authorised actions.
For Amazon, the larger opportunity is not necessarily charging for the AI itself. It is using automation to make its third-party marketplace more productive and deeply integrated into sellers' daily businesses. As AI agents become more capable, the companies that control both the marketplace and the tools used to operate within it could have an increasingly important role in the next phase of e-commerce.
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This article is for informational and educational purposes only and should not be considered investment advice.