PROJECT BACKGROUND
3,300㎡ storage space
Conveyor line operating capacity
Cache shelf operation capabilities
Picking accuracy
Project Pain Points
Inefficient Reliance on Manpower: Traditional manual operation processes resulted in low overall warehousing efficiency.
Promotional Pressure and Fulfillment Risks: Order surges during peak promotional periods easily lead to outbound delays and picking errors, directly impacting customer satisfaction and brand reputation.
Solution
Optimized Space Utilization: With a warehouse building area of 7,665㎡ and a net height of 5.7 meters, high-density shelving achieved an effective storage height of 5.4 meters.
High-density storage capacity: A total of 69,274 storage locations are planned, supporting L600×W400×H400 bins/cartons, accommodating a total of 260,000 items.
Storage density: Reaching 8.44 boxes/㎡, significantly improving warehouse space utilization.
System flexibility: The automated system can dynamically adjust operating modes and resource allocation based on different order types and business scenarios, such as daily operations, small promotions, and large promotions.
Customer Value
Comprehensive capacity coverage: The system fully meets the warehouse’s capacity requirements for all scenarios throughout the year and provides ample room for flexible growth, easily handling business peaks and troughs.
Precise and efficient order fulfillment: Primarily responsible for the daily and peak-season processing of B2C best-selling products, with an average daily shipment volume of 36,584 items throughout the year. Even during peak periods, it ensures timely and accurate order fulfillment, significantly reducing picking error rates.
Omnichannel Business Support: Effectively supports the integrated processing of B2B and B2C orders, as well as the integrated operation of returns and shipments, greatly enhancing the logistics link’s support capability for the omnichannel strategy.
Operating Cost Optimization: Increased automation reduces reliance on manpower, effectively lowering operating costs in the long term.