Wialon helps to control ice cream transportation in Sri Lanka
Region
- Asia
Country
- Sri Lanka
Product
- Wialon
- Sensolator
Tech Stack
- GPS tracking
- Temperature sensors
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Revenue Growth
Technology Category
- Sensors - GPS
- Sensors - Temperature Sensors
Applicable Industries
- Food & Beverage
Applicable Functions
- Logistics & Transportation
Use Cases
- Fleet Management
Services
- System Integration
About The Customer
The customer in this case study is a large ice cream manufacturer based in Sri Lanka. The company has a significant logistical operation, with routes that are quite lengthy (about 250 km). The company was facing significant losses due to the melting and spoiling of their product during transportation. The tropical climate of Sri Lanka, with temperatures reaching almost 35°С, was a major challenge for the company. Additionally, the practice of drivers switching off the refrigerators to save fuel was further contributing to the problem.
The Challenge
Ice cream manufacturers in Sri Lanka were facing a significant challenge in transporting their perishable product due to the tropical climate of the island. The temperature inside the containers often reached almost 35°С, causing the ice cream to melt and spoil. Additionally, drivers would often switch off the refrigerators to save fuel, exacerbating the problem. This situation led to substantial losses for both the shippers and receivers of the ice cream.
The Solution
Kloudip, a telematics service provider from Sri Lanka, implemented the Wialon tracking system in the workflow of the ice cream manufacturer. The solution involved the use of GPS trackers, Queclink temperature sensors, and the Sensolator application. The GPS trackers were installed in all the units and were used to send and receive telematics data, monitor speed, and the location of objects. The Queclink temperature sensors were used to control the temperature inside the containers. The Sensolator application was used for visual control of the temperature data received from the containers. If the temperature rose, the operator would instantly receive a notification from the application.
Operational Impact
Quantitative Benefit
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