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
May 17, 2023 |
Blog / Trail – Demo – blog – design
The platform will correlate real-time data from Google Trends and over 250 other external signals, as the situation demands, with your SCM data or a combination of SCM, CRM, and ERP data. This correlation provides a comprehensive, contextually relevant response, enabling rapid, data-driven decisions.
One of California’s largest supermarkets was able to gain deeper, more realistic and prediction-based insights with Pluto7’s Retail solutions to improve inventory assortment. Read the case study.
ABOUT THE AUTHOR
ABOUT THE AUTHOR
ABOUT THE AUTHOR
ABOUT THE AUTHOR
ABOUT THE AUTHOR
ABOUT THE AUTHOR
Book a demo to evaluate your current processes and see how you can improve it to maximize profitability.
ABOUT THE AUTHOR
ABOUT THE AUTHOR
ABOUT THE AUTHOR
Megha Aggarwal is Marketing Executive at Pluto7 and an AI enthusiast. She is curious about how AI/ML are shaping different industries and loves to share her findings on the same. AI/ML are game changers for the businesses. Learn more about this emerging technology with Megha.
Connect with Megha on LinkedIn
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Demand Forecasting |
Inventory Positioning |
Marketing Analytics |
Demand Signals |
Factory Automation |
Order Fulfillment |
| Accurate demand predictions | Real-time inventory tracking | In-depth customer journey analytics | Real-time demand signals from 250+ external sources | AI-based predictive maintenance | Real-time order tracking |
| Future trends forecasting with external datasets | Optimal inventory recommendations | Real-time campaign effectiveness | Predictive analytics for planning | Operational efficiency insights | Predictive delay analytics |
| Real-time demand updates | Overstock/stock-out prevention | AI-driven market segmentation | Short-term and mid-term demand forecasting | Production optimization through AI | Order management automation |
| Scenario analysis | SKU-level inventory insights | Sentiment analysis capability | Demand fluctuation pattern recognition | Real-time factory monitoring | Timely customer communication |
| Collaborative planning | Demand-supply alignment | Predictive customer behavior modeling | Integration with sales and marketing | Inventory and logistics integration |
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It’s not merely a workshop but a plunge into the future of decision–making. Our team will guide yo through real-life scenarios to help you understand the transformative power of Piab 3.0. |
In a world where data is gold, it’s not about having it; it’s about understanding and acting on it. With Piab 3.0, you don’t just access advanced analytics; you unlock meaningful insights that revolutionize your decision-making process. |
We understand the apprehension that comes with change. That’s why we ensure our platform integrates seamlessly with your existing systems. The workshop is the first step towards a smooth transition to this advanced model of operation. |
| Parameters | Traditional Demand Forecasting | Demand Sensing |
|---|---|---|
| Data used | Historical sales data | A wide variety of data such as real-time sales data, weather, economic data etc. |
| Forecasting techniques | Statistical forecasting models | Advanced analytics and machine learning |
| Short-term and Mid-term | Low | High |
| Forecast accuracy | ||
| Responsiveness | Limited | High |
| Lead time | Long lead times for adjustments | Short lead times for adjustments |
| Integration with systems | Typically integrated with ERP systems | Can be integrated with a wide range of systems |
Leverage Gen AI and LLM to leapfrog your competition. Request a Demo to see how our AI-powered solutions can assist in intelligent decision making for your business.
Consider a large supermarket chain operating across different regions, dealing with thousands of SKUs ranging from fresh produce to household items. The sales patterns of these diverse items can be affected by several factors like seasonality, regional preferences, promotional campaigns, and unexpected events like a pandemic or a weather crisis. Hence, data forecastability becomes paramount to managing such complex scenarios effectively and optimizing inventory across different stores.
Demand ML is a ready-to-deploy solution by Pluto7, hosted on the SAP Business Technology Platform and Google Cloud. It uses machine learning to enhance demand forecasting and inventory management. By integrating with systems like SAP IBP and leveraging external datasets, Demand ML provides deeper insights and more accurate demand predictions.
Book a demo to evaluate your current processes and see how you can improve it to maximize profitability.
Explore Pluto7’s Solutions on Google Cloud
With Planning in a Box, you won’t just be embarking on a long-term AI project; you’ll be deploying ready-to-use solutions with use cases across supply chain, marketing, sales, and finance.
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You would be able to conduct what-if scenarios using real-time data and quickly adjust your short-term and mid-term projections, ensuring you’re always prepared for the changing demand. And the best part? All these happen in a simple, straightforward interface where you can ask questions and get the answers you need.
Consider a large supermarket chain operating across different regions, dealing with thousands of SKUs ranging from fresh produce to household items. The sales patterns of these diverse items can be affected by several factors like seasonality, regional preferences, promotional campaigns, and unexpected events like a pandemic or a weather crisis. Hence, data forecastability becomes paramount to managing such complex scenarios effectively and optimizing inventory across different stores.
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