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实例探究 > How FourKites Helped A FURNITURE MANUFACTURER Stand Out From Competitors On Last Mile Delivery

How FourKites Helped A FURNITURE MANUFACTURER Stand Out From Competitors On Last Mile Delivery

技术
  • 分析与建模 - 预测分析
  • 传感器 - 全球定位系统
适用行业
  • 建筑与基础设施
适用功能
  • 物流运输
用例
  • 资产跟踪
  • 车队管理
  • 预测性维护
服务
  • 系统集成
  • 培训
挑战
A major office furniture manufacturer was looking to improve its delivery to job sites, where synchronizing with construction crews was important to avoid costly downtime. The company wanted to better calculate the precise arrival times of long-distance deliveries, traveling through busy, densely-populated areas.
关于客户
The customer is a major office furniture manufacturer that specializes in delivering high-quality office furniture to various job sites. The company operates on a large scale, dealing with both outbound deliveries to job sites and inbound deliveries to furniture dealerships. Given the nature of their business, precise timing and coordination with construction crews are crucial to avoid costly downtime and ensure smooth operations. The company has a significant presence in the United States and employs over 1,000 people, making it a key player in the office furniture manufacturing industry.
解决方案
The company chose FourKites to track outbound deliveries to job sites and inbound deliveries to furniture dealerships. By utilizing FourKites’ best-in-class geofencing capabilities, the company learned exactly when loads were about to leave pickup facilities, and what weather conditions those loads would encounter en route. Using historical travel time averages and predictive weather and traffic, FourKites calculated exact estimated times of arrival, which the company could then share with customers via a secure, encrypted link, or use to inform their own internal supply chain processes. Through accurate tagging of loads in FourKites, the furniture manufacturer was able to create notifications for individual projects, giving on-site construction site managers precise and detailed visibility into when and where trucks would be.
运营影响
  • Using the tag feature grouping, the furniture manufacturer was able to enhance customer experience and streamline internal operations.
  • People on job sites didn't have to stop what they were doing until the truck was near its final delivery location, improving productivity.
  • The improved customer experience gave the company a point of differentiation over its competitors.

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