Quick and accurate decision-making based on big data
analysis
We combine data received from different channels in real time and
existing master data to refine, analyze, and improve them. Unlike
traditional systems, big data technology produces multifaceted,
accurate results and generates and visualizes basic data for
performance analysis and metrics, thereby helping operators
instantly make the right decision.
Optimized logistic operations for productivity
AI-based fleet allocation automation, which had to be done
manually on a case-by-case basis, optimized transport and delivery
networks, and management indicators in consideration of various
delivery conditions mean easier management of the performance of
logistic operations and instant improvement measures taken, hence,
optimized logistic operations.
Reductions in transport and delivery costs
We support different transport and delivery conditions for higher
customer satisfaction. AI-based algorithms and cloud technologies
ensure instant (in 10 minutes) and optimized fleet allocation.
This in turn helps reduce vehicle hires and optimize delivery
routes, hence, reducing fuel costs and other costs.
VROONG TMS main function
AI-based fleet allocation
AI-based algorithms and cloud technologies for instant (in 10
minutes) and optimized fleet allocation
Considerations for fleet allocation
Vehicle optimization, load optimization, cost optimization,
vehicle hires, distance, driver’s experience, recommended
allocation, etc.
Destination optionsClients’ requirements taken
into consideration, for example, specific vehicles or specific
time Customization
CustomizingAdditional fleet allocation policies
per client request
Data metrics visualization
We offer meaningful metrics based on data collected, thereby
improving the efficiency and productivity of logistics.
Real-time dashboard
Transport productivity metrics
Vehicle-specific productivity metrics / Center-specific
productivity metrics
Transport efficiency metrics
Vehicle operation rate (% vehicle hires) / Average number of
destinations, etc.
Transport quality metrics
on-time delivery / Temperature control, etc.
Data collection and control
We check vehicle movement and delays in real time and quickly
respond to issues related to transport and delivery
Real-time vehicle tracking (in connection with FMS/IoT, DTG)
Location information collected from the driver’s app
Real-time route visualization
Real-time estimation of arrival time
Geo-fencing for automatic departure/arrival reporting
Performance calculation
Accurate performance calculation based on data
Logistic center performance
Driver performance
Carrier performance
Vehicle hires
Carrier-specific vehicle hire costs / Hub-specific vehicle hire costs / Consignor-specific vehicle hire costs.
Driver App
Transport order checking
Shows the list of orders allocated to the driver for the day
and delivery routes
Order delivery details
View details on the progress of the order delivery.
Barcode loading/unloading
Use the barcode reader in the app to load and unload items
quickly.
Maps
The map view of order destinations helps drivers deliver items
faster and safer.
Driver App
Transport order checking
Shows the list of orders allocated to the driver for the day and
delivery routes
Order delivery details
View details on the progress of the order delivery.
Barcode loading/unloading
Use the barcode reader in the app to load and unload items
quickly.
Maps
The map view of order destinations helps drivers deliver items
faster and safer.
빅데이터 기술 적용
Data collection in various forms
Stores bulk data in different formats to provide databases for
comprehensive analysis.
Data Lake
Refinement of various data
Performs data consistency analysis and refinement by detecting
outliers and cross-checking with other data.
Data Cleaning
Automatic data processing
Unifies and automates repeated data integration, refinement, and
analysis processes.
Data Pipeline
Accurate results
Brings out accurate results through AI-powered data interpretation
and generates data for performance analysis and metrics
Artificial Intelligence
