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Maps are a powerful tool that can be used to learn about the world around us and to navigate our way through it.
Improve your delivery operations by optimizing routes and managing maps Route optimization and map management are two critical aspects of delivery operations. By optimizing routes and managing maps, you can improve the efficiency and accuracy of your deliveries. Best Practices for Implementing Route Optimization and Map Management There are several […]
A behind-the-scenes look at how we match Dashers with orders At DoorDash, we constantly look for ways to improve the customer experience. One of the most critical aspects of the customer experience is the speed of delivery. We want to ensure our customers get their food as quickly as possible. […]
What Is Geo-Clustering? Geoclustering is a technique that allows the grouping of spatial data into clusters based on their similarity and proximity. Geoclustering can be helpful in various applications, such as analyzing customer behavior, optimizing delivery routes, detecting anomalies, or planning disaster recovery. Geoclustering can be performed using different methods, […]
DoorDash’s prediction service, Sibyl, was created to handle real-time predictions in their machine learning infrastructure. Sibyl retrieves both models and features from independent stores to make predictions. The prediction service allows batch and shadow predictions to test multiple models on the same data in the background. Sibyl was built to […]
Designing a pickup map for DoorDash is a challenging task that requires careful planning and implementation. To create a map tailored to the needs of pickup customers, DoorDash needed to consider several technical and functional aspects. Some of the challenges that DoorDash faced when designing the map are: Integrating the […]
SRID stands for Spatial Reference Identifier, a unique identifier assigned to a spatial reference system used in Geographic Information Systems (GIS). SRIDs define the coordinate system, projection, and geographic location of the data being used in a GIS system. SRIDs are used in maps like Google Maps and Yandex Maps […]
Mapping the growing role of geospatial intelligence From Geomarketing to zone-based pricing, route planning to supply chain optimization, discover how leading companies use geospatial data to their advantage. In today’s challenging market, every business is searching for ways to do more with less. Geospatial intelligence is proving an invaluable tool […]
A navigation mesh, or Navmesh, is an abstract data structure used in artificial intelligence applications to aid agents in pathfinding through complicated spaces. This approach has been known since at least the mid-1980s in robotics, where it has been called a meadow map, and was popularized in video game AI […]
The traveling salesman problem (also called the traveling salesperson problem or TSP) asks: “Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?” It is an NP-hard problem in […]
The article discusses the DBSCAN clustering algorithm, a density-based unsupervised learning algorithm. Unlike other methods, it is one of the most widely used clustering methods because it can handle clusters of any shape. The article explains the essential parameters in DBSCAN, including the maximum distance between two samples, the minimum […]