Recently, the intelligent warehousing and logistics solution provided by National Self for the returns warehouse of a large home furnishing e-commerce platform in North America has been successfully put into operation, helping the platform to realize the refined management of the returns warehouse, and to improve the speed of returns logistics, the quality of returns service and the overall operational efficiency of the platform.
The client is one of the largest home furnishing e-commerce platforms in North America, with a collection of more than 2 million home furnishing products worldwide and more than 33 million active users in North America and Europe. The platform provides complete after-sales service and bears the logistical needs and costs of user returns，Return orders began to grow rapidly as the platform exploded in popularity, bringing challenges to the original return service system:
- The main body of the platform returns to individual consumers, the return of goods are mostly single items, and the return time, variety, quantity are uncertain, the return of goods into the inventory sorting workload and high difficulty, there are often mistakes, omissions and so on, resulting in inaccurate inventory problems.
- The platform has a wide range of home furnishing products, with large differences in volume and weight, further increasing the difficulty of return logistics transportation, handling and warehousing, and high logistics costs.
- The return warehouse mainly relies on manual work, in case of return business peak, the warehouse operators, logistics equipment and other resources can hardly cope with the peak pressure, which will seriously affect the platform return efficiency.
Located at the client's Florence, USA returns warehouse, this 360,000-square-foot warehouse is primarily used for the storage and flow of platform returns of home products.
The returns warehouse operation is a key component of the platform's returns service system.
The intelligent warehousing and logistics solution provided by National Self starts with the return inbound picking process, using multiple latent jacking robots ANTS for picking and caching, and the efficiency of the return process is significantly improved.After the returned products flow from the conveyor line to the picking station, the picker evaluates and sorts the returned products, and then ANTS carries the returned products to the designated sorting area，Significantly reduces the length of ineffective manual movement, effectively protects the safety of warehouse personnel, improves the picking efficiency of the return warehouse by 80%, increases the picking accuracy rate to 98%, and effectively relieves the pressure of the platform during the peak period of the return business.
The customer of this project is very satisfied with the benefits of using intelligent logistics equipment for the first time. Subsequently, GIS will further provide the customer with an intelligent return overall solution involving the whole process of returning goods, and realize the return logistics system's state perception, real-time analysis, independent decision-making and accurate execution through operation digitization, decision-making intelligence and unmanned operation, so as to help the customer's return service system to transform into an intelligent operation and to enhance the core competitiveness of the customer in the household e-commerce industry.
