　The traditional linen washing, counting and signing relies on manual collection. The counting speed is slow, information gaps are prone to occur, product, material, and customer information are not well controlled, and it is easy to lose customers and waste manpower and material resources. With improving people’s economic and living standards, people are more interested in services. The demand of the industry is also increasing day by day.
In the laundry industry, companies undertake the laundry business of thousands of work clothes and linens in hotels, hospitals, and bathhouses. How do they effectively track and manage their handover, washing, ironing, sorting, storage and other processes? What about improving service quality?
The traditional laundry industry mainly faces the following problems
- Paper-based handover of washing tasks is complicated to query;
- Inconsistency between the quantity washed and the quantity collected can easily lead to commercial disputes;
- The washing process is complex and changeable, and there is a lack of effective monitoring means. Linens are prone to under-processing and missing processing;
- It is easy to make mistakes in classifying washed linens;
RFID Application Benefit
- Batch scanning and identification facilitates manual handover, reduces manual management work, and is convenient and quick to use;
- Improve work efficiency and economic benefits, save personnel support and reduce costs;
- Accurately differentiate customer categories and preferential services;
- Record and maintain customer information and washing records, and you can query and print information at any time;
- Automatic collection of distribution, recycling and handover data to reduce human errors;
In a washing plant or user unit, staff can use the handheld mobile output collection terminal to complete the inventory of linens with RFID tags quickly, accurately and efficiently. At the same time, it can provide a quick search function, track the status and location information of linens, and cooperate with staff to complete the work of picking up linens, etc.
At the same time, through the statistical analysis function of the background data, the washing status, life span analysis and other data of each single product of linen can be accurately obtained, which helps decision-makers grasp key indicators such as the quality of linen, and based on these analytical data, When the linen reaches the maximum number of cleanings, the system can receive an alarm and promptly remind the staff to replace it, improving the overall service level and customer experience.
