SAP and Google Cloud launch unified AI commerce platform
SAP and Google Cloud are rolling out an agentic commerce architecture designed to automate multi-agent marketing and retail workflows at enterprise scale. The system unifies data, AI, engagement, and commerce operations to address a long-standing gap: fewer than two in five companies share customer data across customer experience or CRM platforms despite 78 percent of businesses viewing AI as essential for customer retention by 2026.
Breaking data silos with a new protocol
Most digital commerce stacks rely on fragmented APIs that slow integration and fragment insights. SAP’s Commerce Cloud now adopts the Universal Commerce Protocol, a standard that aligns data exchange across retailers, payment gateways, and autonomous agents. This shift lets software execute the full retail sequence—from search to checkout and post-sale support—without merchants rebuilding their infrastructure. Engineering teams integrating the protocol gain direct, lower-cost pathways between intelligent agents and commerce platforms.
Seamless shopping across Google’s ecosystem
The architecture connects directly with Google Search and the Gemini app, surfacing products organically and powering a Shopping Assistant that handles chat, voice, and text interactions. Consumers proceed from discovery to purchase while the backend manages inventory checks, cart handling, and payments in real time. State retention persists across the shopping cycle, blending live behavioural inputs, warehouse capacities, and marketing data to generate precise product pairings and event configurations.
Fixing the out-of-stock gap
A common pain point—promotions driving demand beyond available inventory—often leaves shoppers facing out-of-stock notices mid-checkout, support teams without a unified view, and support agents unable to resolve issues quickly. SAP and Google Cloud’s joint solution synchronises frontend and backend systems so merchants can avoid these breakdowns. Instead of disconnected touchpoints, the unified architecture recognises the user and their context instantly across all digital properties, enabling accurate, up-to-date fulfilment and support.
Source: AI News. AI-assisted editorial synthesis — TechnoExpress.