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
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.

Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).

Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.

Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.

Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.