Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Lidar & Lazer Scanners
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Last Mile Delivery
- Vehicle Telematics
Services
- Data Science Services
- System Integration
About The Customer
Carter is a leading provider of logistics solutions in South Africa, operating in Capetown, Johannesburg, Victoria, and Durban. The company began as a ride-hailing startup in 2020 but pivoted to product delivery due to the Covid-19 pandemic. Today, Carter matches merchants to one of their over 1500 drivers to provide on-demand delivery to their customers. The company saw an opportunity to fill a gap in the delivery logistics industry and has since grown to become a significant player in the market.
The Challenge
Carter, a leading provider of logistics solutions in South Africa, began as a ride-hailing startup in 2020. However, due to the Covid-19 pandemic, the demand for people-moving services declined as residents stayed home instead of shopping at brick-and-mortar stores. Recognizing an opportunity in the delivery logistics industry, Carter decided to pivot from people to packages. As the company grew, the need for efficient route planning became evident. Their in-house route planning algorithm could only handle up to 10 stops and required more computational resources on their servers than they had anticipated. This led Carter to seek a specialized solution for their route planning needs.
The Solution
Carter found the solution to their route planning challenges in Route4Me’s API. This tool enabled Carter to be the single source of truth for all of their users, from merchant to driver to end customer. Route4Me’s volume and time-based routing constraints proved especially helpful, allowing Carter to focus on their core competencies rather than trying to replicate something that Route4Me had already done extremely well. By utilizing Route4Me’s API, Carter was able to charge merchants based on distance and vehicle type rather than the number of parcels. This approach reduced delivery fees and product costs, and allowed drivers to follow efficient routes and fill their schedules.
Operational Impact
Quantitative Benefit
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