Overview

Amazon has introduced the Seller Messaging Assistant (SMA), a conversational AI tool designed to automatically answer common buyer questions about orders and products. For Amazon sellers, SMA represents a significant shift in how customer inquiries are handled — reducing repetitive contacts and freeing up time to focus on more complex, high-value interactions.

Key Points / What Sellers Need to Know

• SMA handles buyer inquiries automatically — The assistant uses Amazon's systems to provide instant, relevant answers to common pre-purchase and post-purchase questions, resolving many contacts before they ever reach the seller.
• Reduced message volume for sellers — By intercepting and resolving repetitive inquiries such as delivery updates and return eligibility, SMA significantly lowers the number of buyer messages sellers need to manually respond to.
• Covers both pre-order and post-order topics — Before purchase, SMA can answer questions about product details, warranty coverage, return policies, and shipping timelines. After purchase, it handles tracking, delivery status, cancellations, returns, and invoice requests.
• Sellers can configure SMA responses — Amazon provides configuration options that let sellers tailor how SMA responds to buyer inquiries, allowing for more accurate and brand-consistent customer support.
• Escalation only when necessary — SMA serves as the first layer of support. It only passes buyer messages through to the seller when it cannot resolve the inquiry on its own, meaning the messages that do reach sellers tend to be more actionable.

How SMA Works

The Seller Messaging Assistant functions as the first point of contact in Amazon's buyer-seller messaging system. When a buyer submits a question — whether about a product they're considering or an order they've already placed — SMA attempts to answer it automatically using information drawn from Amazon's product listings, order data, and any seller-provided configurations. The assistant pulls from product descriptions, compatibility details, warranty information, shipping timelines, return windows, and other structured data to formulate its responses. Only when SMA cannot adequately resolve a buyer's question does the inquiry get escalated to the seller for a manual response. This layered approach ensures that the messages sellers do receive are genuinely complex or high-value, rather than routine questions that can be answered from existing data.