Capgemini Order Simulation for Automotive
Capgemini's Order Simulation for Automotive is an innovative forecasting SaaS solution to build a lean supply chain strategy that predicts future configurations for millions of automobiles to be manufactured. This employs a powerful data-driven approach to supply chain management with a correct simulation of future sales orders exclusively made for manufactures & their suppliers to make effective supply chain decisions. Download the DocumentPublic
Capgemini - Order Simulation for Automotive
Capgemini - Order Simulation for Automotive
2© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material
Use Case Description
Capgemini's Order Simulation for Automotive is an innovative forecasting SaaS solution to build a lean supply chain
strategy that predicts future configurations for millions of automobiles to be manufactured. This employs a powerful data-
driven approach to supply chain management with a correct simulation of future sales orders exclusively made for
manufactures & their suppliers to make effective supply chain decisions.
Partner: Capgemini
Challenges and Business Drivers
Any large OEM's transitioning from build to stock to build-to-order production approach would face challenges related to
• Forecasting the future parts configuration demand as the production demand become uncertain.
• Overstocking or stockouts impacting inventory cost and overall profitability.
• Insufficient real time insights for effective data driven decision making.
Use Case Description
Capgemini's Order Simulation for Automotive is an innovative forecasting SaaS solution to build a lean supply chain
strategy that predicts future configurations for millions of automobiles to be manufactured. This employs a powerful data-
driven approach to supply chain management with a correct simulation of future sales orders exclusively made for
manufactures & their suppliers to make effective supply chain decisions.
Partner: Capgemini
Challenges and Business Drivers
Any large OEM's transitioning from build to stock to build-to-order production approach would face challenges related to
• Forecasting the future parts configuration demand as the production demand become uncertain.
• Overstocking or stockouts impacting inventory cost and overall profitability.
• Insufficient real time insights for effective data driven decision making.
3© 2024 SAP SE or an SAP affiliate company. All rights reserved. See Legal Notice on www.sap.com/legal-notice for use terms, disclaimers, disclosures, or restrictions related to this material
Solution Overview
Key Features include:
• Simulation of fully configured sales orders: Simulate fully configured sales orders based on historical orders, trends, and
market demands. The simulated orders are uniquely configured and the number of simulated orders can be controlled as
needed via the volume plan.
• Forecast order-configurations: Entire simulation can be executed based on historical orders and volume plan and can
adjust the result with option take rates for new trends
• Manage Target Take Rates: Intuitive UI in the solution helps to edit conditional take rates and manages to refine the order
simulation with the target take rates.
• Easy export options in various formats: Order record format for faster and efficient data transfer and denormalized
record format for data analysis in your BI-tool
Business Benefits
• Reduced Inventory Cost: Significant reduction in process and inventory cost by efficient forecasting techniques and
best practices resulting in reduction of time and effort from weeks to hours.
• Supply Chain Agility: Improved time to market streamlined prediction of the required parts driving greater supply
chain agility resulting in delivering right product at the right time.
• AI/ ML Capabilities: Data driven decision making on real time insights driving smarter operations and higher levels of
innovation
Solution Overview
Key Features include:
• Simulation of fully configured sales orders: Simulate fully configured sales orders based on historical orders, trends, and
market demands. The simulated orders are uniquely configured and the number of simulated orders can be controlled as
needed via the volume plan.
• Forecast order-configurations: Entire simulation can be executed based on historical orders and volume plan and can
adjust the result with option take rates for new trends
• Manage Target Take Rates: Intuitive UI in the solution helps to edit conditional take rates and manages to refine the order
simulation with the target take rates.
• Easy export options in various formats: Order record format for faster and efficient data transfer and denormalized
record format for data analysis in your BI-tool
Business Benefits
• Reduced Inventory Cost: Significant reduction in process and inventory cost by efficient forecasting techniques and
best practices resulting in reduction of time and effort from weeks to hours.
• Supply Chain Agility: Improved time to market streamlined prediction of the required parts driving greater supply
chain agility resulting in delivering right product at the right time.
• AI/ ML Capabilities: Data driven decision making on real time insights driving smarter operations and higher levels of
innovation