Digital Twin of Enterprise Processes (DTEP)

Specialized software for analysis, prediction, and creating recommendations based on accumulated data from accounting systems
  • Continuously updated mirroring of real processes
  • Calculating and optimizing bottlenecks of the operational cycle
  • Modelling and digital simulation of various scenarios

Learn more about the DTEP solution

Example of Creating a DTEP for an End-to-end Process

The system predicts the result of a technological process with consideration for various parameters and recommends ways to improve it.

The Digital Twin of Processes is Essential for a Company’s Efficiency

DTEP shows the difference between optimal and real-life parameters, thus revealing a potential for business improvement.
  • supporting operators in prioritization
  • determining ways of process improvement
  • gaining additional profit
  • maximizing the efficiency of a workshop or work site
  • avoiding failures and production instability
  • decreasing raw material and power overconsumption

Get a preliminary calculation for project implementation

DTEP does not generate reports but provides recommendations

The digital twin of enterprise processes (DTEP) operates with information of an end-to-end process; it can work with event probabilities and provides recommendations.

Exact description of an action to be performed

For example, “allow”, ‘select a specific action scenario’, ‘move from date X to date Y’, ‘modify’, ‘forbid’, etc.

Justification available upon “pressing a key”

Risks and economic benefit, reasons for making the decision, viable alternatives

Automatic implementation

Via integration with an IS or RPA

Get a presentation on digital twins of processes

Criteria for Successful Implementation

Business volume

  • Annual turnover above 200 mln rubles
  • More than 50K process instances (applications/orders processed end-to-end)

Process maturity

  • Description of a 2nd level stable cross-functional process
  • Availability of permanent roles (job duties) of employees at key process steps (decision nodes)

Initial information

  • Statistics for at least 6 months, ideally for no less than 16 months
  • Links between data and action chronology during process implementation

Readiness for changes

  • Digitizing various parameters and factors
  • Simulation of process chains and process optimization

Common DTEP Applications



Increasing the number of on-schedule deliveries and reducing the volume of warehouse stock


Repair activities

Reducing the costs of equipment maintenance and improving the quality of resource use



Reducing the amount of finished goods in warehouses


Internal logistics

Reducing storage and transportation costs

Boost your company's performance to a new level.