Meet many seat types and seat grouping characteristics in response to business needs
Easy to maintain, convenient train group combination, can quickly respond to business needs.
Through coordinated policy combination, can make full use of seat allocation.
Flexible fare management capabilities for marketing
Cross combination ticket types, basic fare, discounts, etc. Flexible pricing to meet promotional activities (Ex: round trip, early bird promotions, and special activity trips).
Convenient ticket price calculation.
Booking Ticket Module
Flexible and high-performance intelligent booking
Strengthening seat allocation, assist segmentation, combination tickets and reservations, matchmaking booking and refund demand.
According to automatic and instant ticket sales forecast data, adjust legend configuration.
Drive technology in combination with seat calculation benefit analysis for effective use of seats. Significantly improve processing speed, quality and business insights and other transaction performance.
Instantaneous big data transaction processing technology
Graphical display of seat inventory to help staff quickly understand seat ticket status instantaneous big data transaction processing technology.
Using load balancing technology services for dispersion of work.
Design architecture and horizontal scalability with stability, fast response to increased trading volume to improve the effectiveness of real-time expansion.
Revenue Management Module
Big data sales analysis information to create revenue model
The module integrates business intelligence and big data technology to explore the trends and patterns of ticket selling and to develop effective strategies.
The module collects larger amount of information construct passenger demand forecasting model, it supports decision makers to develop operation strategies which can satisfy actual needs.
The module optimizes the seat inventory by mathematical model, and determines the best strategy of seat allocation over 90 days.
By analysis of demand trends, sales result, and price program, the module establishes a distribution model, to enhance the utility of resources and overall revenue
Business Intelligence Module
Product Architecture and Features
Provide 20 key business statistical reports via smart multi-dimensional visual analysis to assist in decision-making at all levels.
Accurate analysis of ticket supply and demand to achieve the best use of resources.
Integration of historical time table and seat information to provide transportation demand forecasts and booking sales analysis.
Assisting resource optimization; through short-term capacity demand, gradually adjust the supply operation.
Cloud based big data processing and distributed computing
The use of cloud resource-sharing and rapid deployment features, fast response to the amount of data becomes.
The use of distributed computing massive data warehouse to improve data query, analysis speed and enhance the accuracy of data analysis.
Common Interface Service Platform
The ticketing system serves as the core of the collaboration platform
Proper management of internal services, external systems, integration services and overall coordination mechanism.
Offers a variety of transfer protocols Industry manner, in response to internal information system (ERP , traffic, scheduling, planning, sales) Peripheral Systems (gates, tickets, automatic ticket vending machines (ATVM)) and external data (travel agencies, post office, convenience chain stores, rail industry, and airline industry) with data exchange and collaboration.
Through monitoring platform, grasp the service status and resource consumption and optimize for effective solutions and maintain high service standards.
64-bit versions of Windows Server and above
Web Server : Apache Tomcat
Java SE 7 and above
RDBMS (Oracle,SQL Server ...)
Prediction and Optimization
IE 8.0 Firefox Chrome Safari 5.0 and above
Real-time big data processing techniques
Using load balancing technology, ticket query performance is superior to traditional approaches and can perform up to 1 million ticket sales transactions per minute.
Using big data cloud processing technical analysis of ticket information, it can provide operational references.
Cloud resource application technology effectively uses IT resources
Through the use of cloud resource sharing and rapid deployment features, fast response to the amount of inf ormation received.
Intelligent earnings coordination mode with effective traveler analysis
Effective visiting enhance efficiency, increasing the number of successful booking cases.
The use of business intelligence analysis and new seat allocation strategy better meets the long term/short term and hidden guest requirements.
Complete service functions help to improve the efficiency of ticket management
From train operations, schedules, car seat management, ticket types, fares to actual sales, this is available through an easy to operate management interface.