Scheduled reception

Check and monitor production progress

Work instruction and drawing management

Report of completion

Quality self-test

Production Inquiry

Abnormal call

Production staff: sign in, task, report work, Andon call/message, rationalization suggestions, learning

Team leader: Dispatch, performance, shift/suggestion tracking, accident report

Workshop Manager: Safety, quality, Delivery efficiency/cost, efficiency, team, environment

System manager: user, system parameter setting

Realize 3D real-time display of on-site human, machine and material information

Monitor workshop production, logistics, quality, equipment and other production related status information

Guide all departments to work together, flat management

A "one-stop" decision support system for management

Easy access to enterprise business systems, breaking the data island

Deep interactive analysis, full dimensional display of graphs and charts

Different roles are assigned to corresponding data and kanban boards

Meet the business data needs of personnel at all levels and positions

Transparency, data speak

Fully support app, web, small program, provide targeted solutions

Touch large screen, TV kanban board, tablet, mobile phone and other mobile terminal display

Cover multi-role, full scene, one-stop solution to the problem

Omni-channel data pool, one-stop collection and monitoring of business indicators

Large screen visualization of data, more intelligent control scene experience

Provide a complete library of graphical interface components based on HTML5

A complete set of 3D graphics engine, directly linked to the database, production line digital twin

You can easily build modern, cross-desktop and mobile enterprise applications

Understand the cause of data anomaly, manage the cockpit and control the overall situation

Business data KPI, drag-and-drop operation, independent analysis, enabling analytical thinking

Mobile BI, let the decision in the "palm" grasp, anytime and anywhere for managers to see the production situation, command decision-making

AI prediction, business-oriented augmented intelligent analysis, and cooperate with the university's own data science team to create deep application scenarios such as sales forecasting, intelligent diagnosis, and trend analysis