Recent research by Morgan Stanley indicates a potential shift in U.S. commerce spending towards agentic AI by 2030, reaching up to $385 billion. In response to this trend, Azoma, an e-commerce startup, has introduced the Agentic Merchant Protocol (AMP). This framework aims to streamline product visibility for high-volume retailers in an increasingly autonomous shopping ecosystem.
AMP addresses the challenge of maintaining brand integrity and control in a landscape where AI agents often rely on unverified sources, leading to a ‘black box’ effect. By centralizing product intelligence and legal guidelines, AMP provides a standardized system to ensure consistent brand representation.
The platform caters specifically to consumer goods companies, emphasizing the importance of maintaining a unified brand identity across various AI platforms.
Key features of AMP include Canonical Machine-Native Catalogues, Programmatic Open Web Distribution, Agent-Agnostic Infrastructure, and Performance Visibility, offering brands a comprehensive toolkit for managing their presence in the agentic commerce landscape.
Moreover, Azoma’s proprietary RegGuard™ Compliance engine enables automated content audits against regulatory standards, driving performance improvements for early partners. By optimizing content visibility and addressing technical barriers, Azoma empowers brands to enhance their AI engagement and drive revenue growth.
Azoma’s pricing strategy aims to transition towards outcome-based pricing, aligning costs with measurable performance outcomes. This shift reflects the company’s vision of tying revenue directly to successful agentic interactions, creating a more transparent and value-driven e-commerce model.
Source: VentureBeat