Predictive Maintenance Solution | Publicis Sapient

Leaders Are Adapting to AI

How 1,550 AI decision-makers are redesigning how they operate.

Explore the report

Sapient Slingshot wins Technology Breakthrough of the Year.

Explore Slingshot

Sapient Bodhi ranked #1 for deep research.

Explore Bodhi

Meet Sapient Sustain: context-aware AI for complex IT operations.

Explore Sustain

3M lines of COBOL → clear specs in 8 weeks.

Get the details

Predictive Maintenance

Leveraging connected car data to help car owners and fleet managers receive proactive service recommendations, avoid unexpected breakdowns and enhance overall vehicle safety.

July 25, 2023

The Traditional Car Maintenance Model
Predictive Maintenance Is a Fast-Growing Market
Benefits for Vehicle Owners
Benefits for Fleet Managers
Benefits for OEMs
Why Publicis Sapient’s Predictive Maintenance Solution?
Machine Learning & AI

Publicis Sapient provides all ancillary services and comprehensive enablement to successfully bring a Predictive Maintenance service to life:

Generate AI Summary

Loading AI-generated summary...

The Traditional Car Maintenance Model

The traditional car maintenance model is based on a break-and-fix or scheduled maintenance approach, which is largely reactive. Car owners and fleet managers take action only after a problem occurs, leading to elevated service costs, longer vehicle downtime and added frustration with the post-purchase experience.

For original equipment manufacturers (OEMs), a reactive maintenance model that addresses quality and safety issues only after they occur can result in supply chain constraints, frustration in the customer-dealer relationship and large-volume recalls.

Transitioning to a predictive maintenance model—enabled by the proliferation of sensor technology, rich vehicle data and powerful machine learning models—helps car owners and fleet managers avoid vehicle issues before they occur.

Predictive Maintenance Is a Fast-Growing Market

The global market for automotive predictive maintenance is expected to grow at a CAGR of 26.2% from 2023-2029 *1.

Predictive maintenance as a digital service is highly valued among car owners, who cite car maintenance and upkeep as a top concern *2.

There’s an opportunity to provide comprehensive predictive maintenance solutions via an ecosystem of partners that support both the vehicle and adjacent products and services.

1 Market Intelligence Data

2 Publicis Sapient EU Ownership Study

" Now’s the perfect time for OEMs to invest in predictive maintenance, working together with fleet managers to unlock value by using AI to move beyond dashboards and leverage the right insights to optimize and grow their business. "

— Amadeus Tunis , Associate Managing Director, Transportation & Mobility

Benefits for Vehicle Owners

Save on maintenance costs, optimize fuel and/or battery efficiency, avoid unexpected breakdowns, extend vehicle lifespan, Improve vehicle safety, Improve resale value & overall brand loyalty

Benefits for Fleet Managers

Save on maintenance costs, increase technician efficiency, Increase operation uptime, optimize parts inventory, reduce roadside breakdowns, Improve labor effectiveness

Benefits for OEMs

Faster recall & quality issue detection, increased process efficiency, decreased warranty & repair costs, enhanced product design, improved customer service & customer loyalty, improved sustainability

Why Publicis Sapient’s Predictive Maintenance Solution?

Publicis Sapient has developed a proven machine learning (ML) model—which can be enhanced with OEM and third-party data—to provide actionable recommendations for car owners and fleet managers.

In the early stages, we were able to predict vehicle failures with an accuracy of around 80 percent.

Here’s how Publicis Sapient’s Predictive Maintenance Solution works in the field:

Fleet Manager is notified there is an issue with the vehicle and can schedule a repair appointment.
When sensors determine an issue, registered vehicles are scheduled for repair during a preferred time.
The appointment syncs with the driver’s phone calendar and a reminder is sent prior to the appointment.
Navigation directs the customer to the dealership.
OEM/dealer is sent the parts needed, the repair instructions and the customer’s arrival time.
The appointment is immediately synced with the dealership’s calendar.
A check is made to see if parts are in stock, and if not, the parts are ordered and sent to the dealership prior to the appointment.
Prior to the appointment, the dealer is sent issue details and repair instructions.
OEM runs analytics on aggregated vehicle sensor data to identify patterns.
Analytics are run on all vehicle sensor data to identify patterns.
Insights can be used to identify issues, provide vehicle health and driver reports, reduce fleet downtime, improve product design and enhance the customer experience.

Machine Learning & AI

See how Publicis Sapient helped a Global OEM leverage connected car data and machine learning to deploy a predictive maintenance solution.