Thought leadership in
data-driven automotive
use cases
Unlocking value from our customer’s data.
CloudMade’s team of designers, engineers and product strategists have developed industry-leading views about machine-learning in automotive.
Read more about how we uncover insights, address end-user needs and power user experiences with our solutions.
Driver Apps as a Service: An efficient route-to-market for FMS and Telematics providers
Technologies like Artificial Intelligence, Machine Learning, and the Internet of Things are opening new possibilities every day, and the Driver App as a Service is one such innovation.
Read the articleOvercoming the challenges of limited data to make Machine Learning personal
CloudMade’s Head of Engineering Pavlo Negadailov discusses how we develop personalized learning solutions when the training data is limited.
Read the interviewDemand Prediction: the superpower your car rental business needs
Running a car rental business is challenging. Yet, you should be able to answer questions like when you should decrease or increase inventory, how will this projection change over time, and what the optimal price should be for a vehicle during a specific time.
Read the articleTop-5 Prediction-related use cases in 2022
CloudMade, a provider of predictive analytics software for fleet management, recently conducted a survey to gather responses from the fleet industry and provide an insight into the value of predictive fleet management use cases.
Download the guideMonetizing data created by the fleets, and adding it to the balance sheet and P&L
Data is more like the currency of the 21st century. The automotive industry is one sector where data monetization brings the greatest benefits.
Read the articleMonetizing data created by the fleets, and adding it to the balance sheet and P&L
Personalized offers and UX in the automotive industry for increased customer retention
Сompanies that underestimate the importance of digital customer experience are facing the consequences. The automotive industry is a perfect example of this.
Read the articlePersonalized offers and UX in the automotive industry for increased customer retention
Top 6 ADAS Trends in 2022
The fast-paced and evolving world of ADAS (Advanced Driver Assistance Systems) technologies can feel a little bit bewildering if you’re in the market for a new car — how many of these futuristic features do you need?
Download the guideTop 6 ADAS Trends in 2022
Making a smooth change to an electric fleet with CloudMade
Transitioning to an electric fleet offers sizable benefits — from cost saving to a cleaner environment. To help businesses switch to fully electric vehicles, we at CloudMade offer you actionable steps.
Read the articleMaking a smooth change to an electric fleet with Cloudmade
The easy guide to using AI to improve Fleet Management
Artificial Intelligence (AI) is gaining traction in the fleet management sector. Managers are beginning to see that AI is not meant to replace them but rather assist in streamlining their role.
Download the guideThe easy guide to using AI to improve Fleet Management
Predictions-based battery-saving for preheating and precooling in hybrid vehicles
Find out how CloudMade’s predictive framework enables intelligent battery management, thereby making vehicle preconditioning simpler and more effective.
Read the articlePredictions-based battery-saving for preheating and precooling in hybrid vehicles
Adding predictive capabilities to Fleet Management Software to increase competitive advantage
As fleet owners increasingly demand greater insights from their data, CloudMade’s Fleet Predictions as a Service provide value-adding intelligence ready to be integrated into existing FMS.
Read the articleAdding forecasting and analysis to Fleet Management Software to increase competitive advantage
Developing CloudMade’s Adaptive Framework: Technical Challenges We Overcame
How the CloudMade team was inspired to create an industry-leading cloud and SDK product for collecting and analysing automotive data sets, and the difficulties that were solved along the way.
Read the articleDeveloping CloudMade’s Adaptive Framework: Technical Challenges We Overcame
The Key Fleet Management Capabilities Of 2022
- Sustainable solutions & electrification of the fleet.
- Data-driven approach to improve fleet management decision-making.
- Real-time alerts and route maps.
Exciting customers through a seamless digital rental experience
Exciting customers through a seamless digital rental experience
- Enhance the margins for vehicle rental and subscription providers.
- Increase customer excitement and loyalty with personalized offerings.
- Use-cases to strengthen rental company’s brand and increase revenue.
Exciting customers through a seamless digital rental experience
AI-based Mobility & Fleet Predictions as a Service
- Maximizing value of fleet management software.
- Predicting future need of vehicles, maintenance cost, total cost of ownership and more.
- Innovative use cases to analyze and improve driver behaviour.
AI-based Mobility & Fleet Predictions as a Service
HMI in the machine-learning age
- Machine learning is changing the way HMI is designed
- Moving away from static, siloed experiences
- Curating the HMI from a constant feed of relevant content
HMI in the machine-learning age
Personal Digital Assistants
- How can we create the perfect in-vehicle voice assistant?
- Building personalised profiles.
- Proactivity, personality and management.
Personal Digital Assistants
Subscription vehicle survey 2021
- Current awareness of vehicle subscription services.
- Propensity to use subscription services.
- Current behaviours with supporting automotive products.
Subscription vehicle survey 2021
Infotainment
- Personalise and simplify the content on the screen for every driver.
- Make every journey instantly familiar and increase safety.
- Give the user access to their content in a magical way.
Infotainment
Digital assistant
- Disambiguate conversation to provide the right answers faster.
- Increase usage of vehicle functionality.
- Create a relationship between driver and vehicle.
Digital assistant
Assisted driving
- Increase usage of ADAS functionality.
- Onboard and coach the driver and prepare for an autonomous future.
- Increase safety for the driver and other vehicles.
Assisted driving
ACC feature adoption
- Onboard and coach the driver with simple tutorials.
- Increase driver’s skills level over time.
- Make the driver confident to use ACC on all journeys.