Amazon Business is expanding its use of artificial intelligence to reshape how companies purchase supplies, manage budgets, and forecast needs. At its Reshape conference this week, the company introduced a slate of new AI-powered tools aimed at making business buying more automated, more efficient, and more predictive.
The centerpiece is the Amazon Business Assistant, a conversational AI tool that helps organizations configure accounts, find savings, and make smarter purchasing decisions in real time. Available now to U.S. customers at no additional cost, the assistant uses data from past purchases and account settings to recommend ways to buy more efficiently and reduce costs.
“Now, with new AI-enhanced tools, we’re empowering organizations to reduce costs, make data-driven decisions, and get support when and where they need it,” said Shelley Salomon, vice president of Amazon Business.
Built on Amazon Bedrock, AWS’s generative AI service, the tools reflect Amazon’s broader strategy to blend automation with its global logistics network and enterprise-grade procurement platform.
AI at the Center of Business Buying
The new Amazon Business Assistant acts as an interactive advisor embedded directly into the procurement experience. Buyers can click an orange icon on their Amazon Business account to access the assistant, which offers instant guidance and learns continuously from feedback and usage patterns. It can flag potential savings, recommend new purchasing options, and guide administrators through account configuration—all through natural conversation.
Amazon also unveiled Savings Insights, an AI-powered dashboard for Business Prime members that analyzes purchase history and pricing trends to uncover cost-saving opportunities. The feature identifies bulk-buy discounts, lower-priced alternatives, and “Subscribe & Save” options, helping companies control spend across multiple departments.
For larger organizations, the new Spend Anomaly Monitoring feature automatically detects irregular or risky spending behavior, such as unusual category purchases, order-splitting to bypass approvals, or spikes in daily transactions. The tool provides alerts while allowing administrators to maintain flexible controls—reducing the risk of waste or misuse without slowing down operations.
Predictive Solutions for Industry Operations
In collaboration with AWS and Deloitte, Amazon Business also announced two new AI-driven industry solutions that extend beyond procurement and into operational decision-making. Both are built on Amazon Bedrock and Amazon SageMaker and are designed to help manufacturers and utilities anticipate problems before they occur.
- Industrial Manufacturing Solution: Launching in early 2026, this platform uses AI to predict inventory disruptions, assess supplier performance, and recommend proactive actions such as reallocating parts or expediting shipments to avoid downtime.
- Power Utility Asset Management Solution: Also debuting in early 2026, this system applies predictive analytics and geospatial modeling to improve grid reliability, forecast equipment replacements, and speed up material fulfillment after severe weather events.
By integrating AI into sourcing and supply chain operations, Amazon Business aims to help customers move from reactive purchasing to proactive planning.
A Broader AI Strategy for B2B Commerce
Since its U.S. launch in 2015, Amazon Business has grown into a global procurement platform serving more than eight million organizations, including 97 of the Fortune 100. The division now drives over $35 billion in annualized gross sales and operates in 11 countries.
The new tools underscore Amazon’s intent to position Amazon Business not just as a marketplace, but as a strategic technology partner for businesses of all sizes. By embedding AI into analytics, forecasting, and purchasing workflows, Amazon is redefining what companies expect from digital procurement platforms.
For business buyers, the result is a simpler, smarter, and more data-driven experience. For competitors—particularly wholesale distributors, it raises a clear challenge: match Amazon’s level of intelligence and automation, or risk being left behind as customers embrace a new era of predictive purchasing.
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