Hyperleap with Pluto7 x Google Cloud: Forget Dashboards, Talk to Your Data with Generative AI

Data is growing at an incredible pace, and it's everywhere. But here's the thing: while we're swimming in data, from every click to every swipe, we still cannot figure out why there's a sudden demand spike in New York or why shelves in Los Angeles are overflowing with unsold products.?

The need right now is to be able to look into the existing data, whether it's from SAP, Oracle, Salesforce, or any other source, and find insights.? Insights that tell us what customers will want next, where the next big demand will be, or how to tackle that tricky issue of excess inventory.

But how do you make that shift? How do you tap into your existing data, into the power of AI and Gen AI, and solve your biggest challenges not six months down the line, not tomorrow, but now?

Earlier, it used to take months before SAP data could be made ready for analysis; now, it takes hours. It was common to hear, "We are using ECC and will soon be migrating to S4 HANA; we can start with AI only after the migration is done." Today, the situation is drastically different.?

With Google Cloud and its innovative tools like BigQuery or Vertex AI, orchestrating all that data becomes simpler. Today, you can connect your SAP data with Salesforce, blend it with external datasets from Google Trends, and get real-time demand sensing alerts, all of it, in less than 24 hours.

Before diving into the blog, let's reflect on a recent statement by NVIDIA CEO Jensen Huang. He mentioned, and many of you might have caught this, "You don't need to learn coding." Is this an ambitious claim? Perhaps, but in the world of supply chain, it's pretty spot on. Here's what's happening:

• Demand Planners are using our platform, Planning in a Box, to blend datasets with just a simple natural language query. No code, just plain English.

• Manufacturing teams are cutting down on defect rates by getting Gemini to look over images and spot the issues. Again, no coding required.

• Global supply chain teams across Dubai, Spain, and Russia are querying live data in their own languages, and they're reducing data analysis time by 90%.

The big picture here is that companies are spending way less time on data engineering work. They're not bogged down training their teams on how to mix datasets or set up automated pipelines. Instead, they're channeling their energies into solving their core business problems.

So, let's talk about how we turn this capability into action. Whether it's responding to real-time events affecting your supply chain, like a strike in Baltimore, or getting ahead of market trends by analyzing data across your enterprise, the solutions are at our fingertips. We're moving from asking "Can we do this?" to "How fast can we start?"—and the answer is now.

At Pluto7, we've been busy understanding the various stakeholder journeys in customer centric supply chain management. Our goal? To leverage the power of Gen AI to streamline their workflows and empower them to make data-driven decisions faster than ever before.

Check out our blog to learn how we enable Gen AI Decision Intelligence Platforms in 4 weeks to solve complex supply chain challenges and revolutionize customer experience.