Transform Your Supply Chain Planning and Marketing Strategies with Google Cloud and SAP Integration
June 19, 2025 | Aparna P
Blog / Smarter Inventory Starts Here: Connecting Gemini, Databricks, and ERP with AI-Powered Precision
As AI capabilities expand, the way enterprises manage inventory must change too. It’s no longer enough to forecast demand quarterly or rely on outdated rule-of-thumb replenishment strategies. The world is operating in real time – your inventory planning should too.
The recent Databricks-Google Cloud partnership makes Google’s Gemini models available natively inside the Databricks platform. This isn’t just another AI integration. it’s a meaningful shift that allows enterprises to apply large language models (LLMs) directly to their supply chain data. At Pluto7, we’ve built on this momentum with Planning in a Box – Pi Agent, an AI-powered orchestration platform that connects Databricks, Google Gemini, and your existing SAP or Oracle ERP systems to deliver AI inventory optimization for SAP and Oracle ERP with intelligent, real-time decision-making.
Your ERP is rich with transactional and master data. But in most organizations, that data sits siloed – difficult to access, slower to act on, and disconnected from broader market signals.
Planning in a Box – Pi Agent changes that by making your ERP data usable by AI. Through deep integration with Databricks and native Gemini reasoning, Pi Agent can:
n essence, it becomes a real-time demand sensing platform and ERP AI decision intelligence layer that transforms a slow, manual planning cycle into a continuous, AI-driven loop of sensing, reasoning, and acting.
Planning in a Box – Pi Agent is more than an LLM wrapper. It’s built from the ground up to support complex enterprise needs:
It’s the foundation for SAP and Oracle planning automation with AI, deployed within your own Google Cloud tenant, keeping data secure and fully governed. Implementation happens fast and many customers see ROI in under four weeks.
When Gemini’s multi-step reasoning and natural language planning run natively in Databricks, it unlocks an entirely new level of intelligence. But without the right orchestration layer, that power stays trapped in prototypes.
That’s where Pi Agent comes in.
Whether it’s forecasting demand for seasonal products based on Instagram buzz, optimizing distribution after a tariff shift, or predicting defect rates using production signals – Pi Agent makes it operational. For SAP and Oracle ERP users, this means going beyond reports and dashboards to automated decisions that improve margins, reduce waste, and boost resilience through inventory positioning with Databricks and Gemini.
If your planning team is still reacting to change instead of anticipating it, it’s time to rethink what’s possible. Request a demo of Planning in a Box – Pi Agent to see how your ERP data can drive real-time inventory action, not just insight.
Planning in a Box – Pi Agent is designed to work across functions supply chain, finance, operations – bringing a unified, real-time view into every decision. Unlike traditional solutions that focus on reports or visualization, Pi Agent is about impact: fewer stockouts, faster replenishment, lower carrying costs, and better ROI.
Because it’s modular, Pi Agent can start with one high-impact use case like demand sensing and expand over time. And with every interaction, it learns, adapts, and improves.
In an environment where agility is a competitive advantage, your inventory strategy can’t afford to stay static. The integration of Gemini with Databricks makes AI more accessible than ever – but it takes a solution like Planning in a Box – Pi Agent to translate that power into business outcomes.
AI shouldn’t be abstract. It should reduce lead time. Improve forecast accuracy. Lower inventory risk. And above all – help your team act, not just analyze.
Let Pi Agent help you make that leap.
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