SAP and Google Cloud deploy agentic commerce architecture

2026-06-19 · Source: AI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, E-commerce & Digital Commerce, Marketing, Branding & Advertising · Depth: Novice, quick

Summary

SAP and Google Cloud are deploying an agentic commerce architecture aimed at automating multi-agent marketing and retail operations across large enterprises. This strategic move is informed by SAP research, which reveals that 78 percent of businesses anticipate AI will be essential for retaining customers by 2026. Despite this recognition, the data also indicates a significant hurdle: fewer than two in five companies currently share critical customer data across their customer experience (37%) or CRM (39%) systems. The new architecture seeks to overcome these data silos and operational complexities by enabling intelligent, automated interactions across various commercial functions.

Key takeaway

For AI Product Managers evaluating future commerce solutions, SAP and Google Cloud's agentic architecture signals a shift towards automated, multi-agent systems. You should prioritize integrating AI-driven automation into marketing and retail strategies, focusing on breaking down existing customer data silos. Consider pilot programs for agentic systems to enhance customer retention and operational efficiency, aligning with the 78% of businesses seeing AI as essential by 2026.

Key insights

SAP and Google Cloud are deploying AI-driven agentic commerce to automate enterprise marketing and retail, addressing data silos.

Principles

• AI is critical for customer retention by 2026.
• Enterprise data silos hinder customer experience.
• Agentic systems can automate complex operations.

In practice

• Implement AI for marketing automation.
• Integrate retail operations with AI agents.
• Address CX/CRM data fragmentation.

Topics

• SAP
• Google Cloud
• Agentic Architecture
• Commerce Automation
• AI Marketing
• Customer Retention

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News.