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
January 15, 2026 | Manju Devadas
Blog / Why Pluto7 Chose Google a Decade Ago
In 2016, Pluto7 made a decision that shaped everything that followed.
We chose to build exclusively on Google Cloud.
At the time, it wasn’t the obvious choice. AWS had scale. Azure had enterprise reach. But what we were trying to build demanded something different—something deeper.
This is the story of why we made that choice, what a decade of execution taught us, and why that decision matters even more in the age of AI Agents.
Our founding question was simple:
If B2C platforms like Amazon, Uber, and DoorDash can run in real time, why can’t B2B enterprises do the same?
In every customer conversation, we saw the same pattern. Brilliant planners were spending nearly 80% of their time in spreadsheets—not because they preferred them, but because traditional ERP and supply chain software couldn’t keep up with modern data velocity.
The result was costly:
We didn’t want to build another dashboard.
We wanted to change how planning actually works.
My own journey shaped that conviction.
In 1999, as the internet rewired the world, I moved to Silicon Valley to be part of that transformation. At Cisco, I worked in manufacturing and virtual supply chain—at a time when Cisco was considered the gold standard.
Yet even there, after buying the best software and hiring the best consultants, planners still fell back to Excel. In 2001, Cisco wrote off $2.1B in inventory.
That experience stayed with me.
Technology alone doesn’t fix planning. Intelligence has to be operational—embedded directly into decisions.
When we founded Pluto7, we evaluated every major cloud platform.
AWS had infrastructure strength.
Azure had enterprise distribution.
But supply chain planning doesn’t fail because of compute limits.
It fails because data isn’t turned into intelligence.
When we visited Google in 2016 and saw BigQuery and the early Cloud Machine Learning Engine (now Vertex AI), something clicked. Google wasn’t just storing data — it was designed to extract meaning from it.
That day, we told our team:
“We are committing fully to Google Cloud.”
It was a bold call. But it was the right one.
Choosing Google meant saying no to shallow abstraction and yes to deep specialization.
Over the next decade, that focus allowed us to:
This depth is what moved customers from pilots to production—and from insights to execution. We co-innovated with customers and partners including Cisco, AB InBev, Levi Strauss, Corona.co, CDD, Leaf Home, Tacori, Dxterity, Keck, USC, and SAP on Google Cloud using real production environments to shape applied AI for supply chain and manufacturing.
Along the way, the work was recognized by institutions we deeply respect:
But recognition was never the goal. Making AI real inside operations was.
After working with global customers and thousands of Google collaborators, a few lessons stand out:
1. Transformation Is About People
AI fails less because of models—and more because of change management. Addressing fear, resistance, and incentives matters more than architecture.
2. AI Is Different This Time
Having lived through the internet and mobile eras, I can say this confidently: AI is the most profound shift yet. Intelligence is becoming a commodity—and that changes how businesses operate.
3. The Hard Problems Are the Right Problems
Planning, supply chain, and manufacturing are complex for a reason. Solving them creates durable business value.
We are entering what we call the Planning 3.0 era—where AI Agents replace static workflows, and planning becomes continuous, autonomous, and explainable.
The broader market is finally aligning with this shift.
NVIDIA is accelerating physical AI.
Large language models like Gemini and GPT-4 are redefining how work gets done.
Enterprise leaders are questioning legacy ERP and supply chain systems—and increasingly embracing agents over apps.
At the same time, traditional GSI and management consulting models are being re-evaluated as businesses demand faster outcomes and clearer accountability.
This is where our approach—built on the right data foundation, deployed through Planning in a Box with the Pi Agent in as little as four weeks, and delivered as service-as-software has gained real traction.
A decade of focus with Google was critical to building this depth in applied supply chain and manufacturing AI.
Gemini enables reasoning, not just responses.
Cortex makes ERP data usable by AI.
Pi Agent operationalizes intelligence—not reports.
The world is finally catching up to the future we started building in 2016.
At Pluto7, we believe autonomous supply chain planning is closer than most organizations realize—and that we can move fast enough to meet this moment.
This is an invitation to customers, partners, investors, and future employees who believe in solving real-world problems and building what’s next.
Together, we’re challenging legacy thinking and helping businesses run their supply chains in real time—endorsed by Google, Gartner, Forrester, and most importantly, by customers such as Corona.co in Bogotá.
This 10-year journey wasn’t about chasing trends.
It was about committing early, learning deeply, and building systems that work in the real world.
The best work is still ahead.
— Manju Devadas
Founder & CEO, Pluto7
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