Case Studies > 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

Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • FourKites
Tech Stack
  • Geofencing
  • Machine Learning
  • Predictive Analytics
  • GPS-ELD Integrations
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Brand Awareness
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Sensors - GPS
Applicable Industries
  • Construction & Infrastructure
Applicable Functions
  • Logistics & Transportation
Use Cases
  • Fleet Management
  • Predictive Maintenance
  • Track & Trace of Assets
Services
  • System Integration
  • Training
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
  • 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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