MStroy Software | LLC "MStroy"
The main task that the MStroy platform solves in construction project management is to identify potential trends with the help of artificial intelligence when analyzing historical and current data accumulated about the project in order to predict the risks of construction delays, cost overruns, and the creation of a decision support system.
Advantages of using the M S troy system:
- Cost savings by optimizing inefficient solutions identified by the analysis.
- Increasing the speed and quality of decisions made through access to structured information online.
- Increase revenue by replicating effective organizational algorithms.
- Create a library of effective solutions and use it when planning future projects (cost calculation, work planning, necessary resources).
- Save time on collecting and transmitting information.
- Reducing the number of errors.
- Improving the quality of solutions and operational efficiency.
Key functional characteristics of MStroy:
System-wide modules
- Digital models
- Classifier of construction information
- Configuration and implementation module
- Task management, chat
- Project participants
Construction management
- The manager's office
- Chart
- Construction control
- Executive documentation
Resource management
- Materials management
- Human resource management
- Machines and mechanisms
Management and Economics
- Reports and dashboards
- Cost management
- Library of effective solutions
- Document management
MStroy Shared Data Environment
Purpose:
- Provide online access to information about the project at all stages of its life cycle (design, construction, operation).
A conceptual diagram of the platform's shared data environment:
Obtaining online analytics on the deviations of actual data from the planned ones in order to make timely and high-quality decisions (timely execution of work within the budget):
- delivery of goods to the facility in accordance with the schedule;
- the number of personnel involved in the project.
Working principle:
Aggregation of data into DATA LAKE from disparate systems (1C, Spider project, Excel, AutoCAD, Grand Estimate, etc.), their processing in order to synchronize catalogs, build reports and forecasts using machine learning (for example, what happens if the constructions are not delivered or paid for by the deadline specified in the schedule).
