Unclear employee responsibilities Mistakes are inevitable for humans, and when errors occur, the key is to identify where the mistake happened in order to strengthen prevention measures. In traditional sorting processes, the error rates in order sorting remain high. This is often due to unclear task division during the initial sorting phase and a lack of historical sorting records. As a result, post-incident accountability becomes challenging, with blame shifting between sorting personnel, procurement staff, and distribution departments both within and across departments. In many cases, issues are left unresolved.
High sorting error rate In the traditional fresh produce sorting process, after sorting workers weigh the items, they place them into designated customer bins. Since sorting is done during late hours when concentration levels are lower, there are instances of items being placed in the wrong bins. Even with a secondary check before shipment, only obvious missing items are detected, and it's not possible to re-check the weight of each item. As a result, discrepancies in order weight are often only noticed by customers upon receipt, leading to potential post-sales disputes.
Difficulty in tracking progress Customers have high requirements for the timeliness of food ingredient delivery, requiring delivery companies to complete delivery services before the designated time. This requires managers to monitor the order sorting progress and facilitate timely arrangement of delivery vehicles for shipment. The traditional sorting method requires managers to contact every sorting personnel for inquiries, which not only leads to very low follow-up efficiency but also interrupts the normal work of the sorting workers.
Low sorting efficiency The process of customer orders involves printing, manual form-filling, re-entering data into the computer system, and printing again to generate shipping documents. Sorting staff not only have to weigh items but also repeatedly cross-reference each order on A4 paper. They mark off each sorted order while juggling these tasks, leading to reduced efficiency. If an A4 paper with orders is lost or damaged during this process, it becomes a significant setback for sorting personnel halfway through, causing substantial inconvenience.
The automatic sorting system can quickly and accurately complete the sorting operation of massive products through the cooperation of computer programs and mechanical equipment, thereby greatly improving sorting efficiency.
Compared to traditional manual sorting, automatic sorting systems not only reduce labor costs, but also significantly reduce the occurrence of human errors.
The automatic sorting system can classify and select products based on their characteristics and requirements, avoiding potential confusion or errors in human operations, thereby ensuring product quality.
The automatic sorting system can record and manage the variety, origin, batch, and other information of each product, facilitating future product tracking and quality traceability.
Diversity and personalization have become the mainstream trends in today's market, and automatic sorting systems can classify and sort products based on different types, forms, and specifications to meet various needs.
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