🚗 Artificial Intelligence: A Silent Revolution in Automotive Fleets
By Roman Scobeltzine — Fleets Cars, December 2022 — January 2023, pages 80, 82-83
🧠 What is Artificial Intelligence?
“We talk about AI when processes can be considered “intelligent”, that is to say capable of imitating human brain behaviors: language interpretation, visual recognition, problem solving, decision making...”
— Guillaume Barillot, Asset Manager Data at IBM
Contrary to standard algorithms, which follow fixed rules, AI learns by itself, in particular via the Machine learning.
🚘 In the vehicle: Embedded AI
- AI assists the driver across systems ADAS (driving aids):
- Adaptive cruise control
- Automatic emergency braking
- Semi-autonomous driving (level 2)
AI uses sensors (cameras, radars, lidars) and a centralized “brain” to process information in real time.
However, Learning does not happen in traffic, for security reasons. The AI is trained offline, in the factory, before marketing.
🛰️ Navigation & Smart Telematics
Tools like Waze or Here optimize trips in real time thanks to:
- Traffic analysis
- The weather conditions
- Machine learning
Coming soon: interactions with infrastructures via technologies V2X (Vehicle-to-Everything): smart traffic lights, urban regulation...
📊 AI & Telematics for fleet managers
“With telematics, corporate vehicles are better monitored, which feeds a data ecosystem specific to fleets.” — Rodolphe Gelin, Renault
AI allows:
- OFoptimize tours
- Of allocating resources
- Of reduce downtime and costs
Example:
🎯 Optimum Automotive analyzes data to adapt maintenance plans, reduce TCO (total cost of ownership), and reduce CO₂ emissions.
📉 AI in car insurance
Of Insurtechs suchlike Zego offer:
- Of flexible contracts based on real use
- Of predictive analytics Driver behavior
- One reduction in claims (up to -10%) and premiums (up to -20%)
🏭 AI at the service of automotive logistics
AI optimizes:
- Les parts stocks
- Les logistic flows
- Les delivery times, even in the event of a crisis (e.g. shortage of semiconductors)
🛠️ After-sales applications
🔧 Predictive maintenance
It anticipates breakdowns based on:
- Fluid levels
- Pad wear, etc.
📱 Optimized customer journey
AI directs customers to:
- The right contact person (manufacturer, dealership, bot)
- The right channel (SMS, notification, app)
🧰 Smart tools & software
Solera
- Qapter automatically detects damage and encrypts repairs.
- eDriving analyzes driving via a mobile app, for reduce risks and TCO.
GAC Technology
- GAC Car Fleet & My Car Fleet software
- Tool Iateract : assesses the electrical conversion potential of the fleet
🏗️ AI is entering factories
🧑 🏭 Industrial metaverse (Renault)
- Tablets DWS with AI applications
- Real-time visualization
- Better decisions in the chain
🔍 Automated quality control
- Platform Pokaiok Wheel Concept (with Google Cloud) to check tire compliance
- Robot Cobot to validate parts without human intervention
📂 Digital twin
- Project RVT : a unique database for each vehicle over its entire life cycle
💬 The point of view of Guillaume Barillot (IBM)
“AI affects the entire value chain: design, production, logistics, customer experience.”
It allows you to:
- Create embedded virtual assistants
- Improve the quality In production
- Better get to know the customer for personalized services
- Predicting breakdowns and strengthen theAfter-sales
📌 In summary
Artificial intelligence is transforming:
✅ The driving
✅ The navigation
✅ The fleet management
✅ THEinsurance
✅ The logistics
✅ THEAfter-sales
✅ The production
🔁 It is everywhere, but humans remain in the loop.
