The Future of Supply Chain is Here—And It’s Decision-Driven, Agent-Powered, and Built on Google Cloud

Blog / The Future of Supply Chain is Here—And It’s Decision-Driven, Agent-Powered, and Built on Google Cloud

On Day 2 of the Gartner Supply Chain Symposium/Xpo 2025, one thing became crystal clear: traditional supply chain models are no longer enough. Across sessions, the call to action was loud and unified—businesses need agile, intelligent, and proactive planning systems.

At Pluto7, we couldn’t agree more. The future Gartner envisions is precisely the one we’ve been building with Planning in a Box and our AI-powered assistant, Pi Agent, on Google Agentspace.

Let’s walk through the major themes from Day 2—and how Pluto7, in partnership with Google Cloud, is already making this future a reality.

1. Decision Engineering and Inventory Positioning: Moving Beyond Linear Planning

Traditional supply chain planning systems are “stuck.” Gartner echoed this sentiment with a shift toward Decision Engineering—a new model where AI dynamically assembles and reconfigures supply chain capabilities in real-time.

How Pluto7 Aligns:
Planning in a Box, built on Google Cloud, brings this vision to life by fusing SAP ERP data with external signals to optimize inventory positioning across geographies and channels. Our Pi Agent doesn’t wait for static models—it proactively senses shifts in demand, supply constraints, and regional regulations to make autonomous, high-quality decisions that ensure products are in the right place at the right time.

Proven Impact: Customers using Planning in a Box have seen inventory carrying costs drop by up to 50%, while improving service levels and reducing stockouts.

2. Tariff Scenario Planning: Navigating Disruption with AI Agents

Volatility in trade policies and tariffs continues to challenge global supply chains. Real-time scenario modeling and autonomous decision-making are now imperative.

How Pluto7 Aligns:
Our platform empowers organizations to simulate “what-if” scenarios related to tariffs and regulatory changes—before they happen. Pi Agent evaluates alternate sourcing, logistics, and pricing strategies in seconds, delivering recommendations that minimize risk and optimize cost structures.

For SAP customers considering Google Cloud, this integration becomes seamless: our agents are trained on SAP-specific semantics and data models using the Google Cortex Framework, enabling faster time-to-insight and action.

3. Demand Sensing and Forecasting: From Reactive to Predictive

Visibility is not enough. Organizations need systems that sense demand shifts in real-time and adapt instantly.

How Pluto7 Aligns:
Demand sensing is core to Planning in a Box. Our platform ingests signals from point-of-sale data, sensor inputs, weather patterns, and third-party APIs. Then, Pi Agent synthesizes this with historical SAP data to produce dynamic forecasts that adapt by the hour not just monthly or weekly.

What sets us apart?

• Our models continuously learn and evolve.
  
• Forecasting accuracy improves by 25–40% in most implementations.
  
• Customers no longer firefight they anticipate.

4. Inventory Management and Margin Optimization: Intelligence in Action

Dynamic decision intelligence can reduce firefighting and elevate operational efficiency. Intelligent inventory isn’t just about cost it’s about margin protection.

How Pluto7 Aligns:
We treat inventory as a margin lever. Pi Agent constantly balances cost-to-serve, lead times, and customer demand to keep working capital lean and margins strong. Whether it’s prioritizing high-margin SKUs or reallocating inventory from slow-moving to high-demand zones, our agent makes it happen autonomously.

This is especially powerful for SAP customers, where margin data is already structured and available just waiting to be activated with AI.

5. Dynamic Pricing and Profit Determination: Every Decision Drives Value

Profitability must now be built into every supply chain decision. That includes pricing.

How Pluto7 Aligns:
Our Pi Agent doesn’t just forecast demand it recommends dynamic pricing based on inventory levels, lead time risk, and competitor signals. And thanks to our deep integration with SAP and Google Cloud’s Vertex AI, price elasticity models can be deployed in days not months.

Customers gain a new level of pricing agility especially useful in sectors like retail, CPG, and industrial distribution, where seasonality and channel complexity rule the day.

6. The Agentic Future: Building on Agentspace with Google Cloud

One session underscored the industry’s shift toward autonomous, role-specific agents. This is no longer science fiction this is where Google Cloud is investing, and it’s where Pluto7 is already delivering.

Planning in a Box + Pi Agent = Agentic Supply Chain
Built on Google Cloud, Pi Agent becomes your planning sidekickv ingesting, analyzing, recommending, and executing with precision and context-awareness. It’s secure, composable, and enterprise-ready. For SAP customers, this is the bridge to Google Cloud’s AI capabilities—without heavy lift or disruption.

Gartner’s Vision Is Here – We’re Building It Together

At Pluto7, we’re not just observing the shift to decision-centric, AI-enabled supply chains. We’re driving it alongside Google Cloud.

As you consider your AI journey, ask yourself:

 

• Can your planning system adapt to tariffs overnight?
  
• Can it sense demand shocks and adjust pricing dynamically?
• Can it position inventory profitably across your network?

If not, Planning in a Box – Pi Agent is ready to help you get there faster, smarter, and fully integrated with your existing SAP and cloud infrastructure.

Let’s build the agentic future today.