Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
April 28, 2026 | Vipul Borse
Blog / Agentic Commerce Is Here. 60 Second Decisions* with Pi Agent in Gemini Enterprise
In the wake of Google Cloud Next 2026, one message is clear: commerce is becoming agent-driven. This is not about incremental improvements in recommendation engines or slightly faster dashboards. It marks a structural shift in how decisions are made and executed. AI is moving beyond assistance into action—systems that don’t just inform humans, but operate on their behalf.
This shift is already taking shape. Pluto7’s Planning in a Box – Pi Agent is now part of Gemini Enterprise’s Agent ecosystem, bringing autonomous, real-time decision-making into everyday enterprise workflows. Pluto7 was mentioned by Google Cloud CEO Thomas Kurian for Ai Agent readiness in front of 40,000 live audience and 1M virtual audience.
In this new reality, the competitive edge no longer comes from having better visibility. It comes from how quickly an organization can translate signals into action. And that is precisely where most enterprises are not yet ready.
For decades, supply chain and commerce systems have been designed around stability and control. Data is collected from multiple sources, processed in batches, and used to generate insights that feed into planning cycles. Execution then follows through structured workflows, approvals, and manual intervention performing CRUD operations.
This model was effective when demand patterns evolved gradually and decision windows were measured in days or weeks.
However, agentic commerce compresses time in ways these systems were never designed to handle. As AI agents begin to discover products, evaluate constraints, and execute transactions autonomously, demand will no longer follow predictable curves. It will shift dynamically, often in real time, at a scale driven by coordinated machine activity. Events like Black Friday will increasingly be influenced by algorithmic decision-making rather than purely human behavior. This year humans will increase shop using agents hence customer behavior is changing fast.
In such an environment, the primary constraint is no longer access to data. It is the latency between recognizing a signal and acting on it. Systems that take hours to respond risk missing critical opportunities, as the window for effective action continues to shrink.
This is the gap that Pluto7’s Planning in a Box – Pi Agent is built to address.
Rather than functioning as a traditional planning layer, Pi Agent with 100+ subagents operates as a System of Action—a system designed to continuously sense, decide, and trigger execution in real time.
Planning in a Box is built to:
At its core, it is powered by a multi-agent architecture, where 100+ specialized agents work in coordination to drive unified, real-time decision-making. Available on Gemini Enterprise, Planning in a Box – Pi Agent delivers enterprise-grade scalability and AI capabilities.
The idea of “60-second planning” is not about speed in isolation. It reflects a deeper shift from planning as a periodic activity to planning as a continuous, living system, where decisions are made as conditions evolve, rather than being queued for cycles.
Just as importantly, decisions do not remain theoretical. Through Pluto7’s Operations in a Box – Pi Agent, those decisions are translated into coordinated actions across the enterprise—whether in Sales, Pre Sales, finance, HR, or marketing—enabling Agentic Workforce Transformation.
This is where traditional platforms begin to show their limits. Systems from SAP IBP, Oracle ASCP, Kinaxis, and Blue Yonder have evolved to solve specific planning and execution problems extremely well, but assume humans will make final decision and humans will drive actions. That assumption changed with AI making decisions and actions looking across processes and functions. However, legacy software and SaaS were architected for a different paradigm—one where data is processed in batches, decisions are made in cycles, and execution is largely human-driven.
Even when AI is introduced into these systems, it is typically layered on top of existing workflows. This leads to localized intelligence rather than enterprise-wide coordination to meet company goals E.g. Working capital optimization with inventory. Insights improve, but action remains fragmented. Speed increases in parts of the system, but the overall process remains constrained by its slowest step.
In an agentic world, this is not a minor inefficiency. It becomes a structural limitation.
What is emerging now—reinforced by platforms such as Google Cloud—is a new architectural layer centered on System of Action. These systems are not defined by where data is stored or how it is visualized, but by how effectively they can coordinate decisions and execution across the enterprise. Pi Agent with decades of experience has bundled capabilities and methodologies now available via Gemini Enterprise. Alternatives like Palantir are 10x-25x more expensive compared to Pi Agent.
They are built to operate continuously rather than periodically. They unify data across functions rather than optimizing within silos. Most importantly, they are designed to trigger actions automatically, without waiting for manual intervention.
This shift is foundational. It moves the enterprise from a model of “analyze and then act” to one of “sense, decide, and act in a single loop.”
Agentic commerce changes the economics of time.
As decision cycles compress from days to seconds, the ability to act quickly becomes the defining factor of competitiveness. Organizations that continue to rely on cycle-based planning and fragmented execution will not just fall behind gradually—they will miss critical moments entirely.
Planning in a Box – Pi Agent represents a step toward this new model: a System of Action that enables real-time, coordinated decision-making at scale. Supported by Operations in a Box – Pi Agent, it ensures that every decision is matched by equally responsive execution.
Pluto7 is making this transition more accessible through Planning in a Box as a private offers, as well as an Operations in a Box Private Offer on the Google Cloud Platform Marketplace, enabling organizations to adopt this model with speed and predictability.
The agentic era is not something to prepare for gradually. It is already reshaping how commerce operates and is starting with Retail but will proliferate across all verticals. The organizations that succeed will be those that recognize this shift early and align their systems to act at the speed it demands.
See how 60-second decisioning works in practice—request a demo.
* – 60-second decision cycles are contingent upon seamless data availability and the utilization of high-tier infrastructure. This premium configuration is recommended where the business case justifies the compute cost to deliver high ROI.
* – 60-second decision cycles depend on seamless data availability and high-quality infrastructure. The premier configuration is recommended when the business case justifies the compute cost and delivers strong ROI.
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