The Power of Machine Learning and Data Analytics
GXO Direct, the shared services arm of GXO Logistics, has decided to use Blue Yonder’s warehouse management system (WMS) to improve the efficiency of their warehouses in the US and Canada.
The system incorporates machine learning to establish labor standards by collecting data on worker performance and using it to determine the number of workers required and their optimal positioning within the warehouse.
The training algorithms can also predict future labor requirements and optimize operations in real-time. These algorithms can help logistics companies improve efficiency, reduce labor costs, and address labor shortages.
Furthermore, by analyzing customer buying patterns and other factors, machine learning algorithms can predict future product demand and enable logistics companies to optimize their inventory management and supply chain operations accordingly.
Medium Size logistics Company also implemented ML and Data analytics:
- Locus: Locus is a logistics automation company that uses real-time data to optimize routes, reduce delivery times, and improve warehouse efficiency.
- Shipwell: Shipwell is a transportation management software company that uses data to optimize freight routes, reduce transportation costs, and improve delivery times.
- ClearMetal: ClearMetal is a predictive logistics company that uses real-time data to predict shipping delays, optimize routes, and improve inventory management.
This approach could benefit logistics companies in Hong Kong and other well-developed cities by improving efficiency, reducing costs, and meeting customer demand.
Read More: https://bit.ly/3WWdkaU
優化物流運營：機器學習和數據分析的力量
GXO Direct是GXO物流的共享服務部門，將使用Blue Yonder的倉庫管理系統（WMS）來提高在美國和加拿大倉庫效率。
該系統採用機器學習演算法來收集工人表現數據，以確定所需工人數目和安排在倉庫中的最佳位置。
此外，自動學習演算法數據可以預測未來的勞動需求，並實時優化調配。這可幫助物流公司提高效率，降低勞動成本並解決勞動力短缺問題。
最後，通過分析客戶購買模式和其他數據，機器學習算法可以預測未來的產品需求，使物流公司能夠相應地優化庫存管理和供應鏈運營。
中型物流公司也在實施機器學習和數據分析：
1）Locus：Locus是一家物流自動化公司，使用實時數據優化路線，縮短交貨時間，提高倉庫效率。https://bit.ly/45KlTJO
2）Shipwell：Shipwell是一家運輸管理軟件公司，使用數據優化貨運路線，減少運輸成本，提高交貨時間。https://bit.ly/3NaDJ0f
3）ClearMetal：ClearMetal是一家物流數據預測公司，使用實時數據預測運輸延誤，優化路線，改善庫存管理。https://bit.ly/43uvZvR
總體而言，這種方法可以通過提高效率，降低成本和滿足客戶需求，使物流公司，如香港和其他已發展城市受益。
