SmartRoutes > Case Studies > Optimizing Furniture Delivery with IoT: A Case Study on Castle Davitt Furniture

Optimizing Furniture Delivery with IoT: A Case Study on Castle Davitt Furniture

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Technology Category
  • Networks & Connectivity - 5G
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • Retail
  • Transportation
Applicable Functions
  • Logistics & Transportation
  • Procurement
Use Cases
  • Time Sensitive Networking
  • Vehicle Telematics
Services
  • System Integration
About The Customer
Castle Davitt Furniture is an Irish owned, family operated business established in 1982. The company operates two state-of-the-art showrooms in Sligo and Mayo, stocking high-quality indoor furniture for all home interior needs. They offer a pleasant shopping experience for furniture and accessories and provide delivery services nationwide. The company was facing challenges in their delivery process, including inefficient route planning and time-consuming customer notification processes. These challenges were impacting their efficiency and profitability.
The Challenge
Castle Davitt Furniture, an Irish family-operated business, faced significant challenges in their delivery process. The company was struggling with the daily planning of their deliveries, wasting considerable time on manual route planning. They were using Google Maps for planning routes, which imposed limitations such as a maximum of 10 stops per route and no provision for adding factors like wait times at each delivery or vehicle capacity. This led to inefficient routes, with drivers often passing by homes that were due for delivery later in the day, resulting in unnecessary fuel consumption and time wastage. Another challenge was the time-consuming process of notifying customers about their orders. The team had to manually go into each order on their EPOS system and send out individual notifications, which was a drain on valuable time.
The Solution
The solution to Castle Davitt Furniture's challenges came in the form of SmartRoutes Route Planning Software. This software reduced their reliance on manual route planning and allowed the team to plan necessary routes in much less time. The routes were sent directly to the driver via the delivery driver app, and orders made through their online store were automatically uploaded to the SmartRoutes platform. The software also offered route optimization, ensuring that the driver was not going back and forth between addresses. The routes could be altered when needed, providing the team with the flexibility to increase wait times for specific orders. The SmartRoutes platform also offered a solution for the notification challenge. It allowed the team to send notifications in bulk, reducing the number of customer calls to the store. The notifications included more information than before, such as expected time of delivery and a live tracking link. The tracking portal was instrumental in creating clear communication with customers, reducing the number of customer queries. The software also integrated with their EPOS system, Gizmo, automating the upload of all order information onto the SmartRoute platform.
Operational Impact
  • The implementation of SmartRoutes software has been a significant success for Castle Davitt Furniture. It has not only streamlined their delivery process but also improved their communication with customers. The software's route planning and optimization features have eliminated the inefficiencies in their delivery routes, saving time and fuel. The notification feature has reduced the time spent on customer communication, freeing up valuable time for the team. The integration with their EPOS system has further automated their process, eliminating the need for manual data entry. The team, which used to dread planning deliveries due to the time and effort it took, now finds the platform easy to use. The success of this project has allowed the company to increase their deliveries from 10 per day to 14, all while using the same amount of fuel.
Quantitative Benefit
  • Time spent on Route Planning reduced by 30 minutes per day
  • Incoming customer queries reduced by 70%
  • Drop capacity per driver increased by 25%

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