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
Accelerate your Enterprise AI journey with Planning in a Box—featuring customizable modules and Pi Agent-your GenAI Planning assistant. It integrates 250+ data sources to enhance supply chain efficiency and profitability, all with Google Cloud’s security and scalability.
Realize the ROI in just 4 weeks
20%+ Inventory Cost Cut
25% Marketing ROI Boost
20% Forecast Improvement
30% Production Boost
Convenience Meets Innovation: Discover the Pi Agent Mobile App, designed to streamline your business with AI agents that enhance inventory management, demand forecasting, and financial analysis for forward-thinking leaders.
Market Guide for Analytics and Decision Intelligence Platforms in Supply Chain
Demand Planner
What is the forecast for men’s running shoes demand during the NBA event?
Connect your supply chain data with marketing, sales, and external data to generate rich demand signals using advanced AI/GenAI algorithms and build an accurate forecast.
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Inventory Planner
What is the optimal inventory level for our new line of running shoes?
Dynamically optimize inventory by responding to real-time demand insights. Reduce inventory depth – even for seasonal trends and products with shorter life cycles.
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Supply Chain Head
Based on the current demand, which of my products are overstocked and at which locations?
Get a control tower view of all functions across the supply chain with a strong data foundation. Integrate and synthesize data from various sources, providing a single source of truth.
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Manufacturing Head
Identify any areas where production might be hindered, considering projected demand and current material stock
Align production plans with real-time forecasts. Identify potential bottlenecks and adjust production schedules to ensure efficient resource allocation and timely fulfillment of customer orders.
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Marketing Head
Based on sales trends and competitor activity, which customer segments should we target for athletic sandals?
Make smarter marketing decisions and run targeted, personalized campaigns to reach customers with the right products at the right time for best use of marketing budget.
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S&OP Head
Considering regional sales performance and inventory levels which products will generate the most revenue?
Seamlessly evaluate opportunities, risks, trade-offs with consolidated data. Set realistic sales targets, design dynamic pricing strategies, allocate budgets efficiently, and optimize cash flow.
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Procurement Manager
Analyze projected demand and supplier lead times to identify any materials that might cause delays.
Mitigate risks associated with raw material shortages and price fluctuations. Analyze market trends and supplier data to preempt disruptions for proactive sourcing strategies.
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Logistics Manager
Can we ensure on-time delivery during peak season with current distribution center capacity?
Run what-if scenarios to determine the best routes and schedules for both inbound and outbound processes. Handle the movement of products across the supply chain with precision.
Request a demo →Connect your supply chain data with marketing, sales, and external data to generate rich demand signals using advanced AI/GenAI algorithms and build an accurate forecast.
Request a demo →
This project never could have been so successful without the extraordinary cooperation and relationship with Pluto7 and Google. From day one, it felt like we were one team, and that camaraderie grew, from the initial model in the Makeathon, to the 60 percent improvements we saw per run in barrelage.
Global Director - Tech Explore
Pluto7’s expertise in data science and Google Cloud’s platform were instrumental in the success of this project. We migrated large amounts of data between different cloud platforms and have not experienced any usability issues
Manager, Schlumberger
This project is a great example of how we should be leveraging data and advanced analytics to simplify our processes. A key soundbite for you will be that this project will save over 1,000 hours of workload with our vendors on an annual basis (516 hours/season 2 seasons), in addition to exception management time savings within LS&Co DC’s
VP, Distribution & Logistics
Pluto7 was a great partner in developing our platform concept and enabling us to harness the power of the Cloud Healthcare API, ultimately, allowing DxTerity to achieve its vision of delivering new precision medicine tools to market faster than ever.
Co-founder and SVP Business Development
We would need an army of data scientists to make faster decisions on pricing and inventory levels. With Google Cloud Platform machine learning and artificial intelligence, we don’t need that. We can make much faster pricing decisions to optimize profitability and move inventory.
Co-founder and Chief Adventurer
SCM Krystal Module uses AI and ML to improve demand forecasting, provide real-time inventory visibility, and optimize supply chain operations..
SCM Krystal, as an inventory planner, offers real-time visibility into inventory levels and movement across the supply chain, helping prevent stockouts and overstocking. It uses AI to detect anomalies and unusual patterns in inventory data, identifying potential issues such as theft, damage, or forecasting inaccuracies.
Pluto7, in strategic partnership with SAP and Google Cloud, is at the forefront of integrating Google Cloud's advanced AI, ML, and Generative AI capabilities into SAP systems. This synergy of Google Cloud's analytical prowess with SAP's robust enterprise applications provides businesses with a unique opportunity to leverage data-driven insights for decision-making.
Get started in less than an hour with readily available solutions on Google Cloud and SAP BTP.
Tacori achieved better order planning and marketing analytics with Google Cortex, Generative AI, and Looker.
Ulta Beauty deployed ML models to accurately predict the delay and quantity of their products using Google Cortex, Vertex AI, and Looker.
Lixil implemented Preventive Maintenance Machine Learning Models leveraging Google Cortex, Vertex AI, and Generative AI.
AB InBev boosted barrelage per run by centralizing filtration metrics, pressure readings, turbidity levels, and other manufacturing variables.
Tacori achieved better order planning and marketing analytics with Google Cortex, Generative AI, and Looker.
Ulta Beauty deployed ML models to accurately predict the delay and quantity of their products using Google Cortex, Vertex AI, and Looker.
Lixil implemented Preventive Maintenance Machine Learning Models leveraging Google Cortex, Vertex AI, and Generative AI.
AB InBev boosted barrelage per run by centralizing filtration metrics, pressure readings, turbidity levels, and other manufacturing variables.
Whitepaper
Explore how Google Cloud Cortex framework leverages Generative AI for actionable insights.
Blog
Explore how Pi simplifies supply chain planning with high accuracy & speed.
Webinar
Uncover insights on transforming operations, enhancing efficiency, and unlocking growth.
