In the process of digital transformation of modern enterprises, the digitalization of workforce management is an indispensable part of enterprise management. With the rapid development of artificial intelligence AI technology, AI technology has been widely used in labor management, such as: recruitment, training, scheduling and scheduling, performance evaluation and other links of enterprises, providing more efficient, scientific and intelligent services for labor management.
As a professional service provider deeply engaged in the labor management industry, Laoqin has already integrated AI technology thinking into product research and development, and developed an integrated labor management and service platform with automatic processing, real-time calculation, intelligent prediction, intelligent attendance, intelligent scheduling, lean working hours, skill training, etc., to help enterprises optimize production efficiency, improve management level, reduce costs and improve employee experience.
1. Smart attendance - automatic attendance hour calculation
The labor intelligent attendance system can help enterprises automate the calculation of attendance hours, including clock-in records, leave records, overtime records, etc. This avoids human calculation errors or falsification, thereby improving the accuracy of calculations. Attendance records can be automatically uploaded to the cloud in real time and backed up, while employees can view their attendance records at any time through mobile devices such as mobile phones and apply for mobile self-service processes. It effectively improves the efficiency of HR and employee satisfaction.
2. Intelligent scheduling - multi-dimensional intelligent prediction scheduling
The Labor Intelligent Scheduling System can predict future scheduling needs by analyzing past shift data, business data, employee preferences and prescribed working hours. Different positions automatically arrange senior employees, full-time employees, hourly employees, part-time workers, etc., combined with business digital models to predict working hours and intelligent scheduling, and control labor costs. Through intelligent algorithm calculation, the most reasonable business forecast and labor demand estimate are given, so as to automatically generate the most reasonable scheduling plan. Solve many manpower arrangement problems such as multi-ability, support secondment, and employee expectations. The scheduling process is transparent in real time, allowing employees to view interim results and feedback when supervisors schedule shifts, improving employee engagement.
3. Labor management training - business-driven digital intelligence skills training
The labor management training module developed by Laoqin can recommend courses and match training according to the existing skill level for employees who lack job skills and job skill levels that do not meet the standards in the scheduling, and employees can choose different training modes such as mobile, online and offline, and live broadcast. When skills are confirmed, employees are immediately included in the Smart Scheduling talent pool for the next round of scheduling alternatives. Help enterprises build an efficient path of employee skill growth and build a professional talent reserve of enterprises.
4. Workforce insights – Real-time analytics support business decision-making
Multi-dimensional visual chart analysis of labor work, such as: attendance working hours, attendance reports, working hour slice analysis, store analysis, human efficiency analysis and other multi-dimensional data personnel report analysis, to achieve "fragmented" management of labor hours, strengthen the overall control of personnel by enterprises, improve the degree of refined management of enterprises, provide support for human resources decision-making, and achieve controllable labor costs.
With the development of the times and technology, AI has become the key to today's market competition, and how to use AI to help enterprises achieve growth value is a problem that enterprises must think about. These applications are just some of the ways in which AI is being applied to the digitalization of workforce management. The company will continue to strengthen the application of artificial intelligence technology in digital products of workforce management to help improve the efficiency of enterprise management and reduce labor costs.