Solution Overview
With consideration taken to higher claim rates of commercial vehicles insured by insurance companies, ChainwayTSP takes advantage of the technologies of telematics to collect vehicle driving behaviors and driving data, and by data exploration and analysis, to find the root causes of high risks in fleet so that management troubles can be solved from their sources, thus helping improve fleet risk management and finally reducing claim rates of insurance companies.
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Driving Data
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Data Analysis
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Management Improvement
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Cost Reduction
Driving Behavior Scoring Model
Risk Mileage
Closed-loop Risk Management
It has independently researched and developed the world’s first driving behavior scoring model and driving behavior scoring model base for differential scoring based on different vehicle models.
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More Diversified Scoring Results
Capable of offer scoring for any driving routes, any vehicles and any fleet. -
More Differential Scoring Mechanism
Set up a scoring model and database for different models, and compare the scores of different classified vehicles horizontally. -
More Scientific Drivers Scoring
Based on data such as traffic violation, to offer drivers’ safety credit scoring, which benefits the restriction of drivers’ driving behaviors. -
More Extensive Data Dimensions
Multi-dimensional data sources are used to reflect the individual differences in driving behavior accurately.
Vehicle risk insurance data
Vehicle insurance claim data
Driving status data
Vehicle violation data
Basic vehicle information
Geo data
Meteorological data
Basic driver information
Driving behavior data
Professional fleet managers and operating teams customize management solutions according to the fleet's business characteristics and management needs. The “fleet closed-loop management service” has been uniquely created to meet diversified demands of fleet in different industries and to improve operating efficiency, reduce operating costs and promote fleet upgrading management mode.
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Prior Prevention
Statistical analysis of driving behavior to effectively control abnormal driving behaviors and avoid the occurrence of major accidents from their sources.
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In-incident Monitoring
Monitor driver's driving behavior in real time and improve driver's driving habit by APP intelligent reminder.
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Post-Analysis
To make in-depth analysis of causes of accidents, and to propose improvement actions; by analysis of driving data, to carry out safety education and training for drivers on a purposed basis so as to reduce bad driving behaviors. In-depth analysis of the cause of the accident and propose improvement measures;through the analysis of driving data, targeted safety education and driving training are carried out for drivers to reduce their bad driving behavior.
A world famous beverage company’s transportation fleet
Reducing vehicle insurance claim rates with the help of risk control management
The beverage company’s fleet is mainly used for urban beverage distribution. The fleet owns Dongfeng, Naveco, Changan and other motor models. As the company lacked its safety management system, so there were constant fleet traffic accidents and increasingly high vehicle insurance claim payment rates. In 2016, an insurance company invited ChainwayTSP to carry out risk management via commercial telematics so as to reduce the claim rates of the insurance company.
80 scores or more
Overall driving score of the fleet has increased to 80 scores or more
68.4%
The number of fleet accidents decreased by 68.4%
95.1%
Insurance company's claim amount decreased by 95.1%
Related on-board intelligent terminal
ChainwayTSP intelligent vehicles terminals are applicable to various scenes to meet different service demands.
Insurance Company Partners
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