Atomic One, a Spain-based technology startup, has introduced an autonomous AI platform designed to handle routine Amazon store management, including advertising, inventory, pricing, product rankings, and other ecommerce activities.

The company says its system is aimed at Amazon sellers dealing with increasing advertising expenses, tighter margins, and the growing complexity of managing marketplace operations manually.

The platform uses specialized AI agents to perform recurring tasks across different areas of an Amazon business. Atomic One has also introduced a free Model Context Protocol (MCP)-based tool that allows sellers to access and analyze their store information by asking questions in plain language.

AI Agents Handle Routine Store Tasks

Amazon has approximately 1.9 million active third-party sellers worldwide, according to 2025 figures compiled by Capital One Shopping. These independent sellers account for more than 60% of units sold on the marketplace.

At the same time, sellers are facing increasing advertising expenses. Industry benchmarks cited by Atomic One indicate that Amazon's average cost per click reached roughly $1.22 in 2026, while advertising cost of sales averaged close to 30%.

Managing advertising campaigns manually can require significant time, particularly as Amazon's advertising auctions change continuously. Atomic One says its AI agents can automate up to 80% of repetitive store-management activities, including PPC bid adjustments, inventory monitoring, and profitability checks.

The platform assigns different agents to specific functions, including advertising, inventory, pricing, product listings, rankings, and reviews. These agents are designed to operate continuously rather than relying on periodic manual reviews.

For example, the advertising agent can adjust PPC bids as auction conditions change. The inventory agent monitors potential stock shortages, while the pricing agent can modify prices as demand and margins fluctuate. The ranking agent can also direct advertising activity toward keywords showing stronger organic momentum.

Atomic One says continuous margin monitoring can help sellers identify potential profit losses and support more informed decisions around advertising, pricing, inventory, and organic rankings.

New Conversational Data Tool

Alongside the autonomous agent platform, Atomic One has launched a free tool based on the Model Context Protocol, an open standard introduced by Anthropic in November 2024 for connecting AI assistants with external data and systems.

The tool allows sellers to connect their Amazon store information to compatible AI assistants and ask questions about their business using everyday language. Instead of manually exporting reports or working through spreadsheets, operators can query store data conversationally.

The company says the approach can make it easier for sellers to understand performance data and identify important changes without spending as much time navigating dashboards and reports.

Erez Halperin, Chief Revenue Officer at Atomic One, said Amazon operators often spend too much time responding to operational data rather than focusing on broader business strategy. He said the company's goal is to automate repetitive execution while making store information easier to access.

With the new system, Atomic One is positioning autonomous AI agents as an operational layer for Amazon sellers, combining continuous store monitoring and automated actions with conversational access to business data.