Safe Driving Mobile App Gets Put Through The Paces
Company Size
1,000+
Region
- America
Country
- United States
Product
- Safe Driving Mobile App
- OBDII Connector Device
Tech Stack
- Mobile App Development
- Wireless Data Transmission
- Simulation Software
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Functional Applications - Remote Monitoring & Control Systems
- Networks & Connectivity - Cellular
Applicable Industries
- Automotive
Applicable Functions
- Field Services
- Quality Assurance
Use Cases
- Driver Performance Monitoring
- Predictive Maintenance
- Vehicle Telematics
Services
- System Integration
- Testing & Certification
About The Customer
The customer is a publicly traded insurance company, the largest insurer in America, known for integrating mobile technology into its customer experience. The company developed a mobile app that uses a small device plugged into a car's OBDII connector to gather driving data such as braking, acceleration, speed, and mileage. This data is wirelessly transmitted to the company for analysis to determine potential insurance discounts. Customers can access their driving data and its impact on premiums through a web portal. The company aims to incorporate customer feedback into app updates and improvements, ensuring a user-focused experience.
The Challenge
The insurance company needed to ensure that its customer-focused mobile app was accurate in real-world conditions and easily updateable based on customer feedback. The existing simulation software was not delivering the necessary data, prompting the company to issue an RFP. Lionbridge responded by rewriting the RFP, highlighting critical missing elements, which led to a new partnership and significant project modifications. The goal was to test the app's performance in various real-world scenarios to ensure it met customer expectations and provided accurate data for determining insurance discounts.
The Solution
Lionbridge took the app beyond the simulator to test it in real-world conditions. The test team, leveraging their extensive mobile phone testing experience, conducted rigorous and comprehensive tests in Boise, ID. They tested the app's performance across various carrier/mobile models by packing a van with 100 different app-equipped phones and driving through urban, suburban, and country roads. The team also conducted terrain tests in city, mountainous, and inclement weather conditions, including driving at high speeds in rainstorms and in reverse. Additionally, they tested various driving styles, including normal and emergency maneuvers, to ensure the app's robustness and reliability.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.