Cloud-Plattformen · 20.08.2026, 00:46 UTC
How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 1
| Schweregrad | info |
|---|---|
| Kategorie | Cloud-Plattformen |
| Quelle | AWS Architecture ↗ |
| Veröffentlicht | 20.08.2026 UTC |
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In this post, you learn how AgentFlo built intelligent sales agents that convert conversations into completed purchases. We show you how AgentFlo improved revenue performance in early deployments using Amazon Bedrock AgentCore and the Strands Agents SDK. AgentFlo, the agentic commerce service by Salesflo, helps merchants deploy always-on AI sales, support, and ordering agents across channels like WhatsApp. These agents understand intent, connect to commerce systems, recommend products, create carts, and convert conversations into completed transactions. Today, AgentFlo serves eCommerce merchants managing over $300 billion in annual transacted value, according to Salesflo, across services including Shopify, WooCommerce, Magento, and SAP. This is Part 1 of a two-part series covering the five pillars of production-grade AI agents. Part 1 covers Velocity, Standardization, and Scalability. Part 2 covers Trust, Reliability, and Business results. The challenge: customer intent without assistance Cart abandonment hovers around 70% industry-wide, representing trillions in unrealized revenue annually. For merchants operating on messaging platforms like WhatsApp, the gap widens further: Cart abandonment: Customers abandon carts because a single question goes unanswered. Generic product discovery: Ranked listings replace recommendations tailored to each customer. Missed messaging conversations: Inbound chat volume exceeds staffing capacity across time zones and languages. No personalized guidance: Most merchants can’t afford 1:1 assistance for every interaction. …