Intelligent Shift Scheduling to Optimize Labor Costs and Demand Management

Intelligent Shift Scheduling System

The balance point among human resources, demands and costs.

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Company H is a large retail enterprise that integrates multiple business formats such as hypermarkets, community supermarkets, and convenience stores. In order to reduce the workload of store managers and HR personnel and optimize the management of human resources and demands, it has cooperated with DMALL to use an intelligent scheduling system. Based on the digitization of personnel management, attendance processes, and attendance statistics, it assists HR in making decisions, which not only achieves efficient personnel management but also reasonably saves labor costs.

Manual scheduling is slow, with a large workload and prone to errors.

The store collects information and summarizes it to the store manager. The store manager arranges the schedule and makes modifications. The work efficiency is low, the process is long, and errors are prone to occur.

The standards of labor relations are diverse, and the rules of scheduling and attendance are complicated.

Under the employment trend that mainly focuses on part-time jobs, the scheduling complexity is high, and at the same time, there is a lack of control over approval record management.

The store demands and human resources cannot be precisely matched.

Data cannot be synchronized in real time, and the performance assessment statistics are slow, making it difficult to achieve a balance point among resources, human resource requirements, and costs.

Scheme and Effect

The whole-process digitalization to achieve flexible management.

Personnel scheduling information is collected online, and the scheduling table is automatically generated to efficiently match resource, cost, and manpower requirements.

The scene is flexible and the management is online.

It is suitable for the scheduling scenarios of multiple business forms and multiple labor compositions such as full-time/part-time/hourly workers, and can grasp the working status in real time.

Assist in personnel decision-making and reasonably save labor costs.

The whole-process digital management has reduced the time spent by the store manager on scheduling from 4 hours to 15 minutes per store, with an 85% automatic scheduling rate and less than 5% of abnormal attendance.