Singulariy & Infinity

Delivery routes optimized using mathematical models such as TSP and VRP may appear counterintuitive to users. Upon reviewing the results, users often wonder why the route seems indirect or why nearby stops are not served first. These concerns usually originate from two main reasons.   One contributing factor is the discrepancy between human intuition and […]

In most logistics scheduling systems, the navigation module primarily provides a distance matrix for backend algorithms to compute optimal or near-optimal routes. However, when the distance matrix fails to reflect real-world traffic conditions, the optimization results often hold only in mathematical models and struggle to be implemented in practice. Traffic speed fluctuations and road closures

Automatic multi-stop route planning refers to the use of systems that automatically generate executable route configurations by simultaneously considering multiple delivery locations, vehicle constraints, time windows, and operational rules. This technology has become a foundational capability across industries such as logistics and distribution, field service dispatch, sales visits, and on-site service operations. At its core,

  In modern supply chain management, the efficiency of logistics and transportation directly affects a company’s costs and service quality. One of the core challenges in logistics planning is how to design delivery routes so that vehicles can complete deliveries along the shortest paths or at the lowest cost while meeting demand, capacity limits, and

1.What Is Route Optimization？ Route Optimization refers to the process of planning the most logical and efficient routes and visit sequences for vehicles or personnel across a set of delivery or service tasks, with the objective of minimizing overall costs or maximizing operational efficiency. Simply put, it is the optimization of delivery and service routes.

A.I.R is a dispatch and scheduling SaaS/PaaS platform developed by Singularity Infinity. Whether we’re at trade shows, client meetings, or other events, we often hear the same reaction: ‘Oh, you optimize routes for fleets? Doesn’t Google Maps already do that?’ This highlights a key misunderstanding—what exactly do terms like ‘dispatching’ and ‘optimal routing’ mean? If

The previous article mentioned that TSP is a common problem in the logistics industry (in fact, it’s not limited to logistics; factory production line scheduling can also be a TSP-type problem). Since Google Maps already has an API, why use our service? Because the Google Maps API is too different from what the frontline requires.

Application areas: 1.Linear Programming, LP Description: Used to maximize or minimize a linear objective function subject to a set of linear inequality or equality constraints. Application: Applicable to route selection, transportation problems, resource allocation, etc. in logistics. 2.Integer Programming, IP Description: Linear program whose solutions must be integers. Applications: Suitable for facility layout, vehicle routing

VRP vs. TSP: Essence, Characteristics, Applications and Future Development Route optimization is a critical issue in fields such as logistics, supply chain management, and intelligent transportation systems. Among the most representative mathematical models are the Traveling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP). Although closely related, these two models differ significantly in their

Logistics is a broad concept encompassing the entire flow of goods from supply to demand. In the modern supply chain, logistics not only impacts a company’s operational efficiency but also directly influences consumer satisfaction. Therefore, reducing logistics operating costs and improving delivery efficiency have become key concerns for major companies. With the rise of e-commerce,