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Gartner’s Future Vision is Already in the Box: Planning in a Box + Pi Agent for Smarter, Faster, Profitable Supply Chains

May 8, 2025 | Manju Devadas

Blog / Gartner’s Future Vision is Already in the Box: Planning in a Box + Pi Agent for Smarter, Faster, Profitable Supply Chains

At the Gartner Supply Chain Symposium/Xpo 2025, Day 3 in Orlando wasn’t just a close to the event – it was a call to action. The message echoed across sessions and stages: supply chains must become more intelligent, more resilient, and more connected to business outcomes like never before.

From conversations on demand sensing to agent-based orchestration, from managing tariffs and margin pressures to unlocking better inventory strategies, Gartner outlined a future where agility, automation, and intelligence are table stakes—not nice-to-haves.

And here’s the good news: that future isn’t five years out. It’s already here.

Pluto7, in collaboration with Google Cloud, is enabling this future today through Planning in a BoxPi Agent on Agentspace. Designed to shift enterprises from reactive firefighting to proactive planning, these tools aren’t just aligned with Gartner’s imperatives—they bring them to life.

From Concept to Capability: What Gartner Discussed and What Planning in a Box Delivers

Let’s break it down. Gartner’s closing-day insights centered around six strategic themes that underpin future-ready supply chains. Here’s how Pluto7’s solutions are already putting them into action:

1. Inventory Positioning: From Guesswork to Precision

Gartner emphasized the importance of right-place, right-time inventory as global disruptions continue to impact flow. Speakers pointed to the need for real-time visibility, advanced analytics, and scenario planning capabilities to reposition inventory and reduce carrying costs.

With Planning in a Box, inventory positioning becomes an intelligent and dynamic process. By integrating data from ERP, supplier systems, and point-of-sale channels, our AI models identify optimal stocking locations, safety stock levels, and replenishment triggers—down to the SKU, location, and time.

The result? Improved fill rates, reduced write-offs, and millions in working capital savings.

2. Tariff Scenarios: Don’t Just React – Simulate and Decide

Trade volatility was another focal point at the Symposium. With tariffs shifting frequently due to geopolitical events, Gartner stressed the need for scenario planning tools that let CSCOs simulate impact before reacting.

Enter Pi Agent. Through its natural language interface on Agentspace, Pi Agent can instantly model “what-if” scenarios – like a 10% increase in import tariffs from locations – and show downstream effects on margins, sourcing, and fulfillment times.

No more spreadsheets. No more waiting on analyst teams. Just type your question and get a recommendation.

3. Demand Sensing: Real-Time Signals, Real-Time Strategy

Gartner noted a clear shift from forecast-driven to signal-driven supply chains. Traditional demand forecasting, based on past trends, is no longer enough. Leaders must sense, not just predict.

Planning in a Box – Pi Agwent goes beyond forecasts – it senses shifts in real time. Whether it’s seasonality, channel-specific promotions, or even external events like raw material shortages, the system ingests structured and unstructured data to anticipate demand swings proactively.

4. AI in Planning: From Visibility to Actionability

Throughout the event, Gartner analysts championed the evolution from dashboards and visibility to true decision intelligence. AI should not just surface insights; it must recommend and, where appropriate, act.

That’s exactly what Planning in a Box –  Pi Agent deliver. The AI isn’t a bolt-on – it’s foundational. Pi Agent doesn’t wait for you to ask. It nudges you with insights, flags risk, recommends mitigation plans, and learns over time.

Imagine an assistant that understands your supply chain inside out, and helps you get to the best outcome – faster and smarter.

5. Inventory Management: Consolidated, Clean, and Collaborative

One session discussed the challenge of integrating legacy systems and siloed processes to enable end-to-end orchestration. Another highlighted the critical need for unified, cloud-native systems.

Planning in a Box is cloud-native by design and built on Google Cloud Cortex. That means enterprises can break data silos, cleanse inconsistent inputs, and enable real-time collaboration across planning, procurement, and operations – all in one intelligent platform.

No more planning in isolation. This is planning in alignment.

6. Margin and Profit Optimization: Planning Tied to the P&L

Last but not least, Gartner made a powerful point: planning must serve the business, not the other way around. Tools that optimize for service levels or inventory without understanding cost-to-serve, gross margin, or working capital miss the mark.

With Planning in a Box, planning is connected to financial KPIs by default. Whether it’s margin per channel, cost-to-fulfill by region, or profit contribution by product line – our AI surfaces the true financial trade-offs behind every planning decision.

Why This Matters Now

The key takeaway from Day 3? The shift is happening now. And the gap between digital leaders and laggards is only widening.

While many still struggle with disconnected data, legacy systems, and spreadsheet-driven planning, Pluto7 customers are already using AI-powered agents to drive better decisions – in real time, with confidence.

It’s not about deploying more tools. It’s about adopting a new operating model one where planning is proactive, contextual, and powered by AI.

Planning in a Box – Pi Agent: Not Just Aligned with Gartner- Ahead of It

Gartner’s themes validate what we’ve believed all along: planning is not a backend function. It’s the nervous system of your business. And it needs to be intelligent, adaptive, and forward-looking.

Planning in a Box – Pi Agent is the first platform built with that belief at the center. AI-first. Decision-centric. Designed for humans. Powered by Google Cloud.

The future Gartner spoke about? You don’t have to wait.

It’s already in the Box.

ABOUT THE AUTHOR

Manju Devadas is the Founder and CEO of Pluto7, bringing 20+ years of experience in predictive analytics for Supply Chain, Retail and Manufacturing. With expertise in AI, Deep Learning, and Machine Learning, he has been instrumental in improving efficiency and strategic growth across industries.

Connect with Manju on LinkedIn