Shipment Volume Forecasts Powered by AI at Senko Group
公司规模
1,000+
地区
- Asia
国家
- Japan
产品
- H2O Driverless AI
- IBM SPSS
技术栈
- Machine Learning
- AI
- R
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 物流运输
- 仓库和库存管理
用例
- 车队管理
- 库存管理
- 预测性维护
服务
- 数据科学服务
关于客户
Senko Group Holdings is a large integrated logistics service provider that operates logistics business as one of their core businesses focusing on apparel and ecommerce in the Tokyo metropolitan area. The company provides services to their contracted customers and works on improving the efficiency of their operations. One of the key challenges they face is securing workers for operations at warehouses due to the current shortage of workers in Japan. In order to maintain the customer service level, the company has been exploring ways to cover part of these tasks.
挑战
Senko Group Holdings, a large integrated logistics service provider, was facing challenges in manpower planning due to the shortage of workers in Japan. The company needed to maintain a high level of customer service despite the inability to cut operational tasks. The logistics staff was burdened with the task of predicting shipment volumes from their warehouses, a task that was time-consuming and complex. The company initially tried using R and IBM SPSS for AI-based shipment volume forecasts, but found them challenging for the logistics staff to use for actual operations. The structure of the model was complicated and required a great deal of effort for creating models as well as for applying feature engineering.
解决方案
Senko Group decided to introduce AI for shipment volume forecasts and chose to use Driverless AI. This AI tool repeatedly performs feature engineering, selects prediction method and performs tuning, delivering highly accurate results without depending on the skill of creating statistical analysis model. The company uses SPSS for data processing and Driverless AI for predictive modelling and prediction output, which help them streamline the operational procedure. The accurate shipment volume forecasts allowed them to plan and allocate workers more efficiently, reducing the workload of logistics staff and improving the efficiency of manpower planning.
运营影响
数量效益
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