Capgemini - SAP Innovation Awards 2025
Developed in collaboration with a premium vehicle manufacturer, Capgemini‘s Order Simulation solution on the SAP Business Technology Platform PREDICTS FUTURE MARKET DEMAND and OPTIMIZES PRODUCTION using Gen AI. Scarica il documentoPUBLIC
Entry Pitch Deck
Capgemini
Global Technology, Consulting and Services Partner
with an Automotive industry practice
Elevated Agility in Automotive
Supply Chain with Gen AI-Powered
Order Simulation
Entry Pitch Deck
Capgemini
Global Technology, Consulting and Services Partner
with an Automotive industry practice
Elevated Agility in Automotive
Supply Chain with Gen AI-Powered
Order Simulation
COMPANY NAME:
HEADQUARTERS:
INDUSTRY:
WEBSITE:
NUMBER OF EMPLOYEES:
Company information
2
Capgemini SE
Paris, France
IT services and consulting
https://www.capgemini.com/
341,100
Capgemini is a global business and technology transformation partner which helps
organizations accelerate their dual transition to a digital and sustainable world, while creating
tangible impact for enterprises and society. It is a responsible and diverse group of 341,100
team members in more than 50 countries. It delivers end-to-end services and solutions, fueled
by market-leading capabilities in AI, generative AI, cloud and data, with deep industry expertise
and a partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
PUBLIC
HEADQUARTERS:
INDUSTRY:
WEBSITE:
NUMBER OF EMPLOYEES:
Company information
2
Capgemini SE
Paris, France
IT services and consulting
https://www.capgemini.com/
341,100
Capgemini is a global business and technology transformation partner which helps
organizations accelerate their dual transition to a digital and sustainable world, while creating
tangible impact for enterprises and society. It is a responsible and diverse group of 341,100
team members in more than 50 countries. It delivers end-to-end services and solutions, fueled
by market-leading capabilities in AI, generative AI, cloud and data, with deep industry expertise
and a partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
PUBLIC
CHALLENGE: SOLUTION: OUTCOME:
Gen AI-Powered Order Simulation for Automotive
3
number of product variants that can be
predicted without any workaround or
limitation; SAP standard is limited to 2,000
variants.
faster planning – literally from weeks to
hours, and forecast adjustments are
possible on an hourly basis.
of simulated orders of configurable
products with different forecast horizons.
Expanded
Capgemini
10x Millions
Automotive manufacturers struggle to plan for what
product configurations customers will order in the
future.
• MARKET DEMAND UNCERTAINTY: Doubt
regarding future market demand for unique part
configurations poses significant inventory
challenges.
• INACCURATE FORECASTING: Mis-estimations
in forecasting can lead to overstocking or
stockouts, adversely affecting inventory costs and
overall profitability.
• LACK OF REAL-TIME INSIGHTS: The absence
of real-time data hampers effective, data-driven
decision-making.
• Developed in collaboration with a premium vehicle
manufacturer, Capgemini‘s Order Simulation
solution on the SAP Business Technology Platform
PREDICTS FUTURE MARKET DEMAND and
OPTIMIZES PRODUCTION using Gen AI.
• Overcomes planning challenges for manufacturers
with complex multi-variant products, especially in
the shift from a seller to a buyer market, such
as the e-vehicle industry.
• Powered by machine learning, the solution
generates tailored, data-driven predictions from
historical data and market assumptions, enabling
manufacturers to streamline production and inform
the supply chain in advance.
• REDUCED INVENTORY COSTS: 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 through streamlined prediction of the
required parts, driving greater supply chain agility
and resulting in delivering the right product at the
right time
• CUSTOMER EXPERIENCE: Enhanced customer
experience delivers accurate forecasting, faster
service, and happier customers
PUBLIC
Gen AI-Powered Order Simulation for Automotive
3
number of product variants that can be
predicted without any workaround or
limitation; SAP standard is limited to 2,000
variants.
faster planning – literally from weeks to
hours, and forecast adjustments are
possible on an hourly basis.
of simulated orders of configurable
products with different forecast horizons.
Expanded
Capgemini
10x Millions
Automotive manufacturers struggle to plan for what
product configurations customers will order in the
future.
• MARKET DEMAND UNCERTAINTY: Doubt
regarding future market demand for unique part
configurations poses significant inventory
challenges.
• INACCURATE FORECASTING: Mis-estimations
in forecasting can lead to overstocking or
stockouts, adversely affecting inventory costs and
overall profitability.
• LACK OF REAL-TIME INSIGHTS: The absence
of real-time data hampers effective, data-driven
decision-making.
• Developed in collaboration with a premium vehicle
manufacturer, Capgemini‘s Order Simulation
solution on the SAP Business Technology Platform
PREDICTS FUTURE MARKET DEMAND and
OPTIMIZES PRODUCTION using Gen AI.
• Overcomes planning challenges for manufacturers
with complex multi-variant products, especially in
the shift from a seller to a buyer market, such
as the e-vehicle industry.
• Powered by machine learning, the solution
generates tailored, data-driven predictions from
historical data and market assumptions, enabling
manufacturers to streamline production and inform
the supply chain in advance.
• REDUCED INVENTORY COSTS: 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 through streamlined prediction of the
required parts, driving greater supply chain agility
and resulting in delivering the right product at the
right time
• CUSTOMER EXPERIENCE: Enhanced customer
experience delivers accurate forecasting, faster
service, and happier customers
PUBLIC
4
Order Simulation for Automotive is an excellent
example of an industry-specific solution built on
the SAP Business Technology Platform. It shows
how the industry cloud approach gives customers
access to innovative solutions tailored to the
needs of their industry. Where there are difficulties
in reliably forecasting demand for vehicle option
configurations, this sophisticated and user-
friendly simulation tool should be considered.”
Hagen Heubach
Global Vice President Industry, Automotive Business Unit, SAP
PUBLIC
Order Simulation for Automotive is an excellent
example of an industry-specific solution built on
the SAP Business Technology Platform. It shows
how the industry cloud approach gives customers
access to innovative solutions tailored to the
needs of their industry. Where there are difficulties
in reliably forecasting demand for vehicle option
configurations, this sophisticated and user-
friendly simulation tool should be considered.”
Hagen Heubach
Global Vice President Industry, Automotive Business Unit, SAP
PUBLIC
GLOBAL CHALLENGES
Challenges
BUSINESS CHALLENGES
PUBLIC 5
1. Limited visibility for long-term supply chain forecasting in
a complex multi-variant business: Develop comprehensive
supply chain predictions to facilitate long-term planning for
complex multi-variant products, ensuring suppliers are well-
informed about future demand and can prepare for delivery
capacity accordingly.
2. Transition challenges moving from build-to-stock to
build-to-order production model: Implement a build-to-order
production strategy for highly configurable products with infinite
product variants, to better align with fluctuating global demand
and to reduce excess inventory.
1. Inaccurate forecasting: Mis-estimations in forecasting can
lead to overstocking or stockouts, adversely affecting inventory
costs and overall profitability.
2. Lack of real-time insights: The absence of real-time data
hampers effective, data-driven decision making.
3. Market demand uncertainty: Doubt regarding future market
demand for unique part configurations poses significant
inventory challenges.
Challenges
BUSINESS CHALLENGES
PUBLIC 5
1. Limited visibility for long-term supply chain forecasting in
a complex multi-variant business: Develop comprehensive
supply chain predictions to facilitate long-term planning for
complex multi-variant products, ensuring suppliers are well-
informed about future demand and can prepare for delivery
capacity accordingly.
2. Transition challenges moving from build-to-stock to
build-to-order production model: Implement a build-to-order
production strategy for highly configurable products with infinite
product variants, to better align with fluctuating global demand
and to reduce excess inventory.
1. Inaccurate forecasting: Mis-estimations in forecasting can
lead to overstocking or stockouts, adversely affecting inventory
costs and overall profitability.
2. Lack of real-time insights: The absence of real-time data
hampers effective, data-driven decision making.
3. Market demand uncertainty: Doubt regarding future market
demand for unique part configurations poses significant
inventory challenges.
PROJECT OBJECTIVES WHY SAP
Objectives
6
As a world leader in SAP certifications, Capgemini has four
decades of experience with SAP solutions, serving 2,600 clients
globally. We are also an SAP Global Strategic Services Partner,
and an SAP Global Platinum Reseller Partner.
In the automotive space, we have engaged in a global strategic
initiative with SAP since 2018; our mission is to jointly build
competitive cloud solutions for our automotive customers. SAP and
Capgemini are collaborating to help OEMs and automotive
suppliers meet all requirements, leveraging the benefits of cloud
technology through Software-as-a-Service (SaaS) delivery and
greatly reducing the ongoing IT burden with no sacrifice of the rich
functionality of SAP standard solutions, such as SAP S/4HANA.
The objective is a data-driven approach to supply chain
management for a premium vehicle manufacturer in which the app
allows forecasting of market demand as fully configured virtual
orders, then senses the demand and creates an order forecast
resulting in a significantly shorter delivery window for vehicle
buyers and a premium customer experience.
PUBLIC
Objectives
6
As a world leader in SAP certifications, Capgemini has four
decades of experience with SAP solutions, serving 2,600 clients
globally. We are also an SAP Global Strategic Services Partner,
and an SAP Global Platinum Reseller Partner.
In the automotive space, we have engaged in a global strategic
initiative with SAP since 2018; our mission is to jointly build
competitive cloud solutions for our automotive customers. SAP and
Capgemini are collaborating to help OEMs and automotive
suppliers meet all requirements, leveraging the benefits of cloud
technology through Software-as-a-Service (SaaS) delivery and
greatly reducing the ongoing IT burden with no sacrifice of the rich
functionality of SAP standard solutions, such as SAP S/4HANA.
The objective is a data-driven approach to supply chain
management for a premium vehicle manufacturer in which the app
allows forecasting of market demand as fully configured virtual
orders, then senses the demand and creates an order forecast
resulting in a significantly shorter delivery window for vehicle
buyers and a premium customer experience.
PUBLIC