亚马逊升级卖家AI助手 接入Quick及Claude支持全天候运营

This article introduces Amazon's new Seller Assistant, an AI tool with agentic execution capabilities built on Amazon Bedrock. It already has hundreds of thousands of active users and a 90% acceptance rate for operational recommendations.

1. Core features: It supports natural language conversations and enables data visualization, operational scenario simulation, and marketing performance diagnostics within a dynamic workspace, helping sellers eliminate the need to manually integrate data across multiple systems.

2. Always-on automation: Sellers can set custom rules so the system automatically executes repetitive tasks such as replenishment and pricing adjustments 24/7; the system can continuously monitor market dynamics and adjust itself even when the seller is not logged in. All actions are accompanied by security audit logs and require seller review before execution.

3. Persistent memory: The tool retains information about sellers' pricing patterns, inventory turnover cycles, and business growth goals, and synchronizes this information across all operational scenarios. Personalized recommendations continue to improve as data accumulates.

4. External connections: The new plugin can connect to other AI tools sellers use daily. It currently works with Amazon Quick and Claude, allowing real-time operational data to be synced to external AI systems.

5. Free benefit: Until the end of 2026, primary account holders among Amazon sellers globally can receive a free 12-month subscription to Amazon Quick Plus.

For brand owners, this article reveals that Amazon is driving an upgrade in seller operational automation, directly affecting how brands manage pricing, inventory, and marketing on the platform.

1. Brand pricing and price competition: The new Seller Assistant's always-on workflow can automatically monitor competitive windows for core categories and adjust pricing. Brand owners can leverage this to maintain an edge in price competition, but they must remember that all automated operations require seller review, so brands still need to retain control over their pricing strategies.

2. Brand marketing and channel development: The tool covers the full lifecycle from store launch and daily management to business expansion, and supports diagnostics for marketing campaign performance. This helps brand owners assess the effectiveness of their marketing investments and optimize channel operations.

3. Product development and consumer trends: The persistent memory function retains seller business growth goals and inventory turnover cycles. Brand owners can gradually understand consumer purchasing rhythms based on accumulated operational data, supporting product development and inventory planning decisions.

4. User behavior observation: The AI assistant can integrate real-time operational data, product listing information, inventory levels, and sales analytics, helping brand owners glean insights into user behavior and category trends from data.

5. Representative viewpoint: Currently, 90% of Amazon's partner sellers are already using third-party AI tools, indicating that brand owners are highly receptive to intelligent operational tools. The ability to connect external AI will further create a complete operational view.

For Amazon sellers, this article provides key signals of operational upgrades and practical opportunities.

1. Policy interpretation and support: Amazon has officially launched the new Seller Assistant with agentic execution capabilities, along with connector plugins that work with external AI tools. Until the end of 2026, all primary account holders can receive a free 12-month Amazon Quick Plus subscription, lowering the barrier for small teams to access advanced operational tools.

2. Growth markets and shifting consumer demand: The tool covers third-party sellers globally, and the operational recommendation acceptance rate has reached 90%, showing that AI-assisted operations are becoming a mainstream need. Sellers can use always-on workflows to automate tasks such as replenishment and adapt to the high-frequency pace of cross-border operations.

3. Response measures and risk warnings: The new tool supports persistent memory and complete decision logic. All automated actions are accompanied by security audit logs and require seller review before execution, ensuring sellers stay in control and avoid out-of-control risks.

4. Opportunity tips and learning points: Sellers can set up custom workflows in natural language or use pre-built templates to get started quickly. The connector plugin can sync operational data to external AI tools such as Quick or Claude, helping to integrate financial and production data for a complete operational view.

5. Latest business models and collaboration methods: The system can monitor market dynamics and automatically adjust pricing even when the seller is not logged in, offering the possibility of "unattended" operations. However, sellers need to configure the appropriate operating parameters to activate automated workflows.

This article is directly relevant to factories' product production and design needs, focusing on using AI tools to improve supply chain and inventory management efficiency.

1. Product production and design needs: The new Seller Assistant's persistent memory function can retain inventory turnover cycles, helping factory-based sellers adjust production plans and product design directions based on actual sales data, reducing blind stockpiling.

2. Business opportunities: The tool provides always-on workflows that support automated replenishment and inventory management. Factories can use this to align more precisely with e-commerce channel demand and respond quickly to platform rhythms when taking orders.

3. Digitalization and e-commerce insights: The Amazon AI assistant can sync real-time operational data and inventory levels to external AI tools. Factories can combine this with external production data to form a complete operational view, driving digital collaboration between production and e-commerce.

4. Operational optimization examples: The system can monitor competitive windows for core categories and automatically adjust pricing even when the seller is not logged in. This means factories can use automated strategies to maintain product price competitiveness in the channel without manual monitoring.

5. Points to note: All automated operations require seller review before execution and are accompanied by security audit logs. Factories should define clear rules when setting up workflows and retain ultimate control over replenishment and pricing.

For service providers, this article demonstrates the upgrade trend in Amazon's AI operational tools, the underlying technical architecture, and potential service opportunities.

1. Industry trends: Amazon's new Seller Assistant is built on Amazon Bedrock and has agentic execution capabilities, evolving from a pure Q&A assistant to full-chain operational automation. This shows that AI agents are moving deeper into e-commerce operations.

2. New technologies: The tool features persistent memory, always-on workflows, natural language interaction, and external AI connector plugins that support Quick and Claude. Its tech stack reflects the convergence of large language models, agents, and plugin ecosystems.

3. Customer pain points: Sellers need to eliminate the tedious process of manually integrating data across systems. They need 24/7 automatic execution of repetitive routine tasks such as replenishment and pricing adjustments, while also requiring complete decision logic attached to outputs and security audit logs for all actions.

4. Solutions: Service providers can develop around the Amazon Seller Assistant plugin ecosystem, helping customers connect external financial and production data. They can also offer customized data synchronization, operational simulation, and performance diagnostic services based on Claude or Quick integration.

5. Entry points for collaboration: Currently, 90% of Amazon's partner sellers are already using third-party AI tools, indicating strong market demand for external tool integration. Service providers can pay attention to the free Amazon Quick Plus subscription window and design low-barrier AI operational solutions for customers.

As a platform operator, this article reveals Amazon's latest moves in its seller tools ecosystem and how it approaches platform operations management.

1. Latest platform moves: Amazon has officially launched the new Seller Assistant with agentic execution capabilities, built on Amazon Bedrock, covering the full lifecycle from store launch and daily management to business expansion. It also introduced connector plugins that work with external AI tools.

2. Merchant acquisition and user growth: The tool has already reached hundreds of thousands of active users, with a 90% acceptance rate for operational recommendations. By offering a free 12-month Amazon Quick Plus subscription, Amazon lowers the entry barrier for small teams and strengthens the platform's appeal to small and mid-sized sellers.

3. Operations management: The always-on workflow lets sellers set custom rules, and the system automatically executes tasks such as replenishment and pricing adjustments 24/7. However, each execution requires seller review and saves security audit logs, reflecting a balance between automation and safety control.

4. Risk mitigation: All automated operations require seller confirmation before execution, avoiding disputes that could arise from unattended price changes or replenishment. Meanwhile, the persistent memory function syncs pricing patterns and inventory cycle data, so the platform must ensure data security and compliance.

5. Ecosystem development: The connector plugin is initially compatible with Quick and Claude. Since 90% of partner sellers already use third-party AI tools, the platform supports external tools through open data interfaces, promoting a richer service provider ecosystem.

This article can serve as a case study for research into AI tool applications on cross-border e-commerce platforms and new trends in platform governance.

1. New industry trends: Amazon Seller Assistant has evolved from a generative AI companion to an operational tool with agentic execution capabilities, reaching hundreds of thousands of active users with a 90% acceptance rate. This indicates that the commercialization of AI agents in e-commerce operations is accelerating.

2. New issues: The always-on automated workflows involve unattended replenishment and pricing adjustments. Although the platform requires pre-execution review and retains security audit logs, this still raises new questions about the boundaries of autonomous decision-making, responsibility attribution, and fairness in price competition.

3. Business model: Amazon is promoting tool adoption through a combination of free subscriptions and open plugins. It lowers barriers with a free 12-month Amazon Quick Plus offer while integrating external AI tools to form an ecosystem. The logic of platform lock-in and ecosystem expansion is worth studying.

4. Technical architecture reference: The tool is built on Amazon Bedrock, with persistent memory, cross-scenario context synchronization, custom workflows, and natural language dialogue capabilities. This provides a technical analysis sample for industrial-grade AI operations platforms.

5. Policy and regulatory implications: The design of attaching complete decision logic to all outputs and requiring seller review before execution provides a reference model for the safety and compliance of intelligent operational tools. In the future, more granular regulatory guidance may be needed for behaviors such as AI-driven automatic pricing and replenishment.