GetSwift > Case Studies > Empowering Food Delivery Drivers with Route Optimization

Empowering Food Delivery Drivers with Route Optimization

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Company Size
1,000+
Country
  • Worldwide
Product
  • GetSwift Route Optimization Software
Tech Stack
  • GPS Tracking
  • Real-time Route Optimization
  • Data Analytics
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Sensors - GPS
Applicable Industries
  • Food & Beverage
Applicable Functions
  • Logistics & Transportation
  • Sales & Marketing
Use Cases
  • Fleet Management
  • Predictive Replenishment
  • Real-Time Location System (RTLS)
Services
  • Data Science Services
  • System Integration
About The Customer
The customer in this case study is a food delivery company. Food delivery is a big business, with a total market of over $100 billion worldwide. Advancements in technology are revolutionizing food delivery models, with mobile platforms, online delivery aggregators, and new delivery models each vying for a share of the customer base. In this changing environment, a variety of challenges that are specific to food delivery are coming to the fore. The customer must be happy with the accuracy of the order, the amount charged, the quality and condition of the food, and the speed with which the driver delivers it. At the same time, the restaurant or vendor must assure that the quality of the food is representative of their standards – that they package the food correctly and deliver it promptly to meet their standards for quality.
The Challenge
Food delivery businesses face several challenges including cost control, customer service, logistics, staffing, and unpredictable spikes in order volume. These issues are compounded when processing and delivering food orders. Delivery speed is the number one factor in customer satisfaction, with 60% of customers across all markets citing it as a key factor. The quality of perishable items is significantly affected by an increase in travel time, even if only a few minutes difference. While speed is a vital component, it is also essential to ensure the safety of delivery people on the road. Additionally, companies must ensure that they are equipped to deal with spikes in order volume, which may be predictable or unpredictable. Finally, manually planning routes is inefficient and costly.
The Solution
The solution to these challenges is the implementation of route optimization software. With optimization software, a food delivery company can expect to improve efficiency and realize bottom-line savings by reducing fuel costs, improving fleet utilization, increasing delivery speed, and reducing idling time and re-delivery to correct driver errors. The right technology can help you to gather data insights to improve delivery speed, efficiency, cost-effectiveness, safety, and customer satisfaction. Route optimization software can help your company answer each of the challenges it faces in food delivery while gathering data that you can use for valuable insights into strategic improvements. With GetSwift, enterprises can grow delivery revenue by increasing efficiency, controlling expenditures, streamlining logistics and increasing customer satisfaction and retention. GetSwift allows you to create scenarios for changes in orders and volume, and protect drivers and product with real-time route optimization updates that incorporate changes in weather and road conditions.
Operational Impact
  • Unplanned delays were reduced, having an immediate impact on the bottom line of an organization.
  • Fuel efficiency strategies were implemented, such as eliminating empty miles, reducing driver speed, and tracking driver position by GPS to ensure that drivers are not making unauthorized stops or going off-route without notice.
  • Driver error was eliminated, preserving optimal delivery speed while reducing errors, which can be costly to rectify.
  • Route optimization was used to eliminate driver overtime caused by poor planning and delays, as well as automate some manual paperwork processing tasks, saving even more driver time.
  • Route optimization enabled businesses to plan driver routes and allocate order distribution among drivers more efficiently.
Quantitative Benefit
  • Using route optimization software in food delivery led to a 26% reduction in delivery times.
  • There was a 67% increase in orders booked through that platform.
  • There was a 132% increase in repeat customers.
  • There was a 260% increase in customers who placed 4 or more orders on the platform in the period covered by the case study.

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