Case Study：
Background: CITIC Publishing Group is a Chinese state-owned enterprise with full licenses for publishing, distribution, and retail, holding the leading position in the Chinese book retail market. It has established partnerships with nearly 200 renowned publishers worldwide and exported book copyrights to multiple countries and regions. In the current market environment characterized by growing digitalization and personalized demands, it faces significant challenges in logistics and inventory management:
Handling Multiple Versions and Batches: With the increasing variety of publications, a single book may generate multiple SKUs due to factors such as cover design, binding methods, and revised editions. Manual sorting and inventory management struggle to quickly and accurately identify and handle these complexities.
Inadequate Prediction and Response Capability: Market demand fluctuations, new book releases, and promotional activities lead to sudden spikes in orders. Traditional operational models are prone to capacity bottlenecks during peak periods, affecting delivery efficiency, while prediction and response to market demand changes tend to lag.
Optimization of Inventory Turnover: Books have long lifecycles and unique sales cycles. Manual inventory management often results in delayed information updates and occupied storage space by slow-moving items, reducing inventory turnover efficiency and increasing capital occupation costs.
Pressure to Improve Service Quality: Customers increasingly demand intact packaging, accurate delivery, and timely arrival of books. Relying on manual logistics operations poses significant challenges in maintaining consistent service quality.
Solution:
After thorough site surveys and needs analysis, we recommended the adoption of a linear cross-belt sorting machine as the solution for CITIC Publishing Group.
Project Scale:8 supply entrances, 212 trolleys,312 compartments
Implementation Time: The project, from planning and design on April 16, 2021, to completion on June 19, 2021, took 63 days.
Effect Display:Significant Increase in Picking Efficiency: The linear cross-belt system increased book picking speed by 70%, greatly reducing order processing time and improving overall logistics efficiency.
Marked Reduction in Picking Error Rate: Advanced recognition technology ensured a 99.99% picking accuracy, significantly reducing picking errors and enhancing customer satisfaction.
Effective Reduction in Labor Costs: The introduction of the linear cross-belt sorting machine reduced labor input by 30%, lowering labor costs.
Promotion of Business Growth: An efficient logistics system provided robust support for CITIC Publishing Group's business growth, enabling the group to better meet reader demands and expand market share.
Printing and publishing products often involve multiple varieties, specifications, and quantities, presenting additional challenges for manual picking.
During holidays, promotional events, or specific seasons, demand for printing and publishing products may significantly increase, putting immense pressure on manual picking. Ensuring picking efficiency and service quality becomes a crucial issue.
Due to the wide variety and large quantity of printing and publishing products, manual picking often takes a long time, affecting overall logistics efficiency.
During manual picking, classification errors, omissions, or misplacements often occur due to operational errors or visual fatigue, affecting order accuracy.
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Automatic sorting equipment can rapidly process large volumes of items, regardless of time and labor constraints. Compared to manual picking, automatic sorting equipment significantly improves picking efficiency, reducing operation time.
Automatic sorting equipment reduces dependence on manual labor, lowering labor costs. It also reduces employee fatigue and the risk of work-related injuries associated with long periods of repetitive work.
Automatic sorting equipment adopts advanced recognition technology, accurately identifying product information and reducing picking errors. This improves customer satisfaction and reduces return rates.
Automatic sorting equipment can collect picking data in real-time, providing data support for the enterprise. Through data analysis, companies can optimize resource allocation, improve production processes, and enhance decision-making efficiency.
