Multiple SKUs and orders In the footwear and apparel sector, numerous product categories and SKUs amplify sorting challenges, demanding more compartments. Apparel logistics, especially for color, size, and seasonal items, is recognized for its single-item management-like multi-frequency small-batch approach. This model emphasizes precise picking for clothing orders. As consumers seek greater personalization, the industry faces an escalating need for multi-batch, small-batch, and swift response demands. This compels significant enhancements in both inbound and outbound efficiency.
High return rate of shoes and clothing The return rate of the footwear and clothing industry is higher compared to other industries, and the penetration of e-commerce further increases the return rate and the number of returned items, causing a surge in pressure on reverse logistics processing. This will inevitably affect the efficiency of reclassification and inventory turnover, resulting in warehouse backlog, increased costs, or stores being forced to lower prices for clearance.
Large fluctuations in order traffic The order flow in the footwear and clothing industry fluctuates greatly, with significant changes in sorting operations. Small promotion operations are generally about 5 times the daily average, while large promotion operations are generally 20-40 times the daily average. During peak periods such as promotional seasons and seasonal updates, the surge in shipments and returns, as well as the instability of order entry and exit, can bring many uncertain factors. Different shipment volumes require more flexible picking modes, which requires efficient response from the picking and sorting system of shoe and clothing warehouses. At present, manual sorting not only has low sorting efficiency and high error rates, but also high labor costs, making it difficult to manage personnel flow and cope with this situation calmly.
Diversified types of omnichannel sales orders In the footwear and apparel industry, omni-channel sales encompass various types, such as multi-level distribution, direct retail, online sales, online group buying, offline outlet, and custom order models. Different sales models have distinct order structures and types, necessitating a flexible sorting solution to accommodate the diverse order picking requirements for each type of order.
Traditional sorting requires a large amount of manpower investment, which is time-consuming and labor-intensive, and there are sorting errors. The automatic sorting system can effectively reduce sorting personnel and labor costs, while also ensuring the accuracy and efficiency of sorting.
The automatic sorting system can quickly and accurately classify and summarize footwear and clothing products by utilizing advanced recognition and classification technologies. Compared with traditional manual sorting, automatic sorting has faster speed and higher accuracy, which can greatly improve sorting efficiency.
The automatic sorting system can achieve a fast and automated process from inbound to outbound, avoiding errors and delays caused by human factors, and improving outbound efficiency. In addition, due to the high efficiency and accuracy of the automatic sorting system, it can also reduce error and loss rates, further improving outbound efficiency.
The high efficiency and accuracy of the automatic sorting system can quickly process orders and deliver the goods required by customers to their destinations. This can not only improve customer satisfaction, but also increase sales volume and quickly respond to market demand, optimizing supply chain management.
Automated sorting systems can integrate data, perform data analysis and processing, and utilize technologies such as machine learning and artificial intelligence. These technologies enable data mining, analysis, and predictions, guiding future production and management decisions, helping businesses better understand market trends and demands.
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