Problems

Manual workers stay idle for 30-50% of their work time. They understate the production standards, artificially lower labour efficiency, and increase work delivery terms. This results in an increase in payroll, additional costs, and lost profit.

Solution

The integrated solution leverages IoT, AI, and ML to identify, record, and count the performance of specific operations during the shift. The advantage of the solution is unique algorithms that capture the action or inaction and drill down the employee activity into elementary operations at any given time. This information offers managers an understanding of how busy employees are, whether they comply with the operational procedures, who is working inefficiently, and what performance rates to set.

Result

This solution increases the output of employees by 10-20% on average, raises labour efficiency, and provides the company's executives with a tool for daily monitoring and management.

Implementation stages

AUDIT

Pre-project audit, discussion of goals and objectives (1 to 2 weeks)

DIGITIZATION

Preparatory stage: digitization of performed operations, AI training (1-2 months)

 

PILOT PROJECT

Pilot implementation of the solution (1-2 months)

SCALING

Solution deployment and scaling