Source URL: https://cloud.google.com/blog/topics/partners/pluto7-pi-agent-ai-meets-agentspace/
Source: Cloud Blog
Title: Ride-share-like planning with Agentic AI: Pluto7 + Google Agentspace transform supply Chains
Feedly Summary: Pluto7, an early Google partner, has integrated Agentspace into its Planning in a Box platform Pi Agent to address inventory and demand planning challenges.
Agentspace provides an Agent Development Kit (ADK) for building specialized agents and an A2A (Agent-to-Agent) communication protocol for agent collaboration. These tools facilitate a shift from static workflows to dynamic, adaptive business systems.
Pluto7’s Planning in a Box Pi Agent is designed to complement and offer an intelligent AI layer for autonomous planning. It integrates with various enterprise systems like SAP, Oracle, and Salesforce, consolidating structured and unstructured data into a Master Ledger via Google Cloud’s Cortex Framework. This effectively creates a real-time digital twin and control tower, providing a unified view and synchronized decision-making across the supply chain.
Pi Agent functions as a real-time supply chain planning assistant, mirroring a ride-share system for inventory. It senses real-time signals, reallocates resources, and makes proactive decisions. Examples include agents for demand analysis (Ron), inventory optimization (Kassy), financial balancing (Alex), and defect flagging (Bob), all collaborating through the A2A protocol. This allows for significantly faster decision-making and a transition from reactive problem-solving to proactive planning.
aside_block
Practical impact
A case study featuring a LatAm CPG manufacturer demonstrates the practical impact. By implementing Planning in a Box + Pi Agent (now powered by Google Agentspace), the manufacturer gained real-time inventory visibility, improved order fulfillment, and is on track to reduce excess inventory by 15% while cutting manual reporting by 70%. It also has natural language access to inventory data: “How much inventory do I have for Faucet at Location Warehouse?”
The combination of Agentspace + Planning in a Box – Pi Agent creates an agentic command center for enterprises, enabling autonomous workflows, seamless ERP (SAP,Oracle,Netsuite) integration, and deployment within the user’s Google Cloud tenant delivered in the form for a service-as-a-software. This setup offers rapid time to value, with initial use cases deployable in weeks.
Over years, Pluto7 has seen customers getting on the platform adoption journey see significant business outcomes, including a 10–20% improvement in forecast accuracy, up to a 50% reduction in inventory carrying costs, over 50% safety stock reduction, faster planning cycles, and a 10%+ increase in margin all of which is articulated in Pluto7’s 2:10 rule of revenue growth with planning error reduction.
Looking ahead
Agentic AI isn’t the future – it’s already here redefining supply chain planning and enabling Planners to become superheros. Businesses can explore how Google Cloud’s Agentspace and Pluto7’s Planning in a Box can enable intelligent orchestration and real-time responsiveness in their supply chains.
AI Summary and Description: Yes
Summary: The text discusses Pluto7’s integration of Agentspace into its Planning in a Box platform to enhance inventory and demand planning through intelligent, autonomous AI systems. It highlights significant improvements in forecast accuracy, inventory management, and operational efficiency for businesses utilizing this solution on Google Cloud.
Detailed Description:
The provided text outlines Pluto7’s innovative integration of Agentspace and its Planning in a Box platform, showcasing how these developments address significant challenges in inventory and demand planning. Here are the major points explored:
– **Integration of Agentspace**:
– Pluto7, an early partner of Google, has incorporated Agentspace into its Planning in a Box platform, referred to as Pi Agent.
– Agentspace offers essential tools like the Agent Development Kit (ADK) and an A2A (Agent-to-Agent) communication protocol to facilitate agent collaboration and dynamic workflows.
– **Functionality of Pi Agent**:
– Pi Agent introduces an intelligent AI layer for autonomous planning and integrates seamlessly with existing enterprise systems (SAP, Oracle, Salesforce).
– It aggregates structured and unstructured data into a Master Ledger via Google Cloud’s Cortex Framework to establish a digital twin and control tower for real-time decision-making.
– **Real-Time Decision Support**:
– Functions similarly to a ride-share system for inventory management, enabling proactive resource allocation based on real-time signals.
– Specific agents (such as Ron for demand analysis and Kassy for inventory optimization) work collaboratively, enhancing decision speed and moving from reactive to proactive planning.
– **Practical Impact**:
– A case study involving a Latin American consumer packaged goods manufacturer demonstrated tangible benefits, such as a 15% potential reduction in excess inventory and a 70% decrease in manual reporting.
– Natural language queries enhance user interaction with inventory management systems, promoting a user-friendly approach.
– **Business Outcomes**:
– Businesses adopting this technology reported several significant improvements:
– 10–20% enhancement in forecast accuracy.
– 50% reduction in inventory carrying costs.
– 50% decrease in safety stock.
– More efficient planning cycles, alongside a 10%+ increase in profit margins.
– **Future Implications**:
– The text emphasizes that Agentic AI is not a mere future concept but a present reality, transforming supply chain planning.
– It encourages businesses to leverage Google Cloud’s Agentspace alongside Pluto7’s solutions for optimized supply chain orchestration and responsiveness.
Overall, this advancement reflects a pivotal shift in how businesses can innovate their supply chain strategies using AI-driven solutions, thus warranting attention from security and compliance professionals regarding the implications of integrating such systems in terms of data security and compliance with regulations.