Beyond the Buzz: How Pluto7 and Google Cloud Are Making SAP’s AI Vision a Real-World Advantage for Inventory, Demand, and Profitability

Blog / Beyond the Buzz: How Pluto7 and Google Cloud Are Making SAP’s AI Vision a Real-World Advantage for Inventory, Demand, and Profitability

From AI Promise to Practical Performance

At SAP Sapphire 2025 Orlando, the message was unmistakable: Business AI is no longer a concept of the future—it’s here, embedded, and ready to act. From main-stage keynotes to breakout sessions, SAP leaders emphasized the rise of intelligent agents that drive resilience, efficiency, and growth across the enterprise.

For companies using SAP S/4HANA, SAP IBP, or SAP Datasphere, and exploring Google Cloud for AI and analytics, this evolution opens the door to something more tangible: smarter, faster planning.

This is where Pluto7’s Planning in a Box – Pi Agent on Agentspace, comes in. Purpose-built on Google Cloud and designed to extend your SAP environment, it bridges the gap between AI aspirations and operational results—especially in critical areas like inventory positioning, demand forecasting, and profit optimization.

From Vision to Execution: AI that Understands Business Context

On Day 2, SAP spotlighted a new AI-centric operating model led by the Joule assistant, a suite of intelligent agents, and the SAP Business Data Cloud. The ambition? To make AI proactive, context-aware, and ethically sound—delivering decisions, not dashboards.

However, enterprise-scale AI doesn’t drive results on its own. It needs domain-specific intelligence, real-time data unification, and the ability to act autonomously across systems.

That’s where Planning in a Box – Pi Agent delivers true value.

By seamlessly connecting SAP data with external sources via Google Cloud’s infrastructure, Planning in a Box – Pi Agent creates a single intelligent planning layer. It enables real-time, AI-driven simulations—from inventory allocation to tariff scenario planning—helping businesses adapt and respond to change, not just report on it.

Rebuilding Inventory Strategy with AI Agents

Inventory Positioning: Precision in Motion

Inventory is no longer a cost center—it’s a lever for profitability. At Sapphire, SAP spoke about integrating AI agents with real-time operational data to drive agility.

Pluto7’s Pi Agent, built for SAP environments, takes this a step further by:

• Ingesting data from SAP ECC, S/4HANA, and external sources
• Mapping optimal inventory locations based on live demand signals, tariffs, and fulfillment costs
• Reducing carrying costs by 20–50% while improving service levels

Your planners no longer need to guess. With AI-powered inventory optimization, every node in the supply chain is a strategic decision point.

Scenario Planning for Tariffs: Simulate Before You Ship

As trade dynamics shift, tariff impacts can no longer be an afterthought. Planning in a Box –  Pi Agent offers specialized tariff simulation agents designed for high-volatility sectors.

Using these agents, businesses can:

• Simulate real-time tariff changes on component or SKU-level cost structures
• Automatically adjust sourcing or inventory placement based on cost and lead time
• Make margin-protecting decisions without manual intervention

With Pi Agent, tariff scenarios become a proactive part of planning—not a reaction to disruption.

SAP customers already using SAP IBP or S/4HANA can integrate Pi Agent directly, amplifying what they already have.

Demand Sensing and Forecasting: Real-Time, Right Time

In today’s landscape, monthly forecasts are obsolete by the time they’re published. At SAP Sapphire, executives stressed the shift to real-time forecasting, powered by internal and external data signals.

Pluto7’s Pi Agent leverages Google Vertex AI and Google Cloud Cortex to:

• Sense demand changes from POS, social media, online searches, and weather
• Forecast more accurately using external economic indicators and seasonality patterns
• Integrate insights directly into SAP IBP or custom demand planning apps

This reduces forecast error by up to 20%—with AI models that retrain continuously, not quarterly.

From Data to Decisions: Margin, Pricing, and Profitability

Dynamic pricing and margin visibility emerged as hot-button issues at Sapphire 2025, particularly in CPG and retail. SAP’s new Business Data Cloud Apps are designed to connect financial and operational data, enabling more intelligent pricing strategies and profitability analysis.

Pi Agent solves that gap by:

• Modeling price elasticity in response to supply and demand changes
• Calculating optimal prices per SKU, region, and time
• Simulating profit margins dynamically by factoring in tariffs, inventory costs, and lead times

All with real-time visibility—not batched reports.

Pi Agent on Agentspace: Built for the SAP + Google Cloud Era

SAP’s partnership with Google Cloud was featured prominently on Day 2, especially the bi-directional integration between SAP Datasphere and BigQuery.

Planning in a Box – Pi Agent is built on:

• Google Cloud Cortex Framework for faster SAP data onboarding
• Vertex AI and Gemini models for advanced forecasting and planning
• Google Agentspace, where Pi Agent acts as your autonomous planning assistant, operating across SAP and external environments

Pluto7’s approach doesn’t replace SAP—it amplifies it, offering SAP customers a faster, lower-risk path to AI adoption.

Who This Is For: SAP Customers Ready to Act

Whether you’re in retail, CPG, or hi-tech and  manufacturing, if your organization:

• Runs on SAP and is exploring Google Cloud AI,
• Needs to improve inventory turns, demand accuracy, or margin insights,
• Is struggling with volatile trade/tariff conditions…

Then Pi Agent is built for you.

From Sapphire to Strategy: Why It Matters Now

SAP Sapphire Day 2 wasn’t just about announcements—it was a clear call to action for SAP customers to operationalize AI. Pluto7’s Planning in a Box makes that possible, today.

Our customers are already seeing:

• $10M+ in inventory cost savings
• 20–50% reduction in excess stock
• 10x faster planning cycles

This isn’t a roadmap. This is real-world ROI, delivered in weeks, not years.

Next Step: Let’s Make It Real

Ready to see Pi Agent in action for your SAP landscape?
Request a Personalized Demo