Welcome to the Location Data Blog!

Last-mile, food delivery, e-commerce, and postal services companies constantly strive to improve their services and operational efficiency to remain competitive. In this highly saturated space, the quality of location data powering delivery apps and platforms can be detrimental to the efficiency of operations. In this post, we will discuss how location data (mobile location and POI data) enables businesses to locate customers accurately, optimize mapping and routing systems, and minimize the waste of time and resources.

Businesses across a host of industries (such as retail and FMCG) strive to improve supply chain efficiency to cut costs, meet customer demand, and increase profits. This article explores how geospatial data (mobile location and Point-of-Interest data) is a valuable tool for enabling these objectives and can be leveraged to support profitable decision-making in supply chain and delivery logistics. 

Geospatial data – specifically mobile location and Points-of-Interest (POI) data - is a powerful resource that enables everyday location-based services such as ride-hailing, food delivery, logistics, etc. Location data analyses have been proven to optimize commercial operations, identify high-impact public investments, improve our ability to respond to and prepare for natural disasters, and more.   

The location data industry is extremely dynamic because of several reasons, including new policies from dominant OS providers, data-privacy regulations, the ongoing transformation of cities and movement patterns, etc. As it continues to expand and evolve, businesses that  utilize geospatial data (as well as those that supply it) must stay up to date with the ever-changing landscape to maintain a competitive edge.   

Based on our expertise and success with many leading companies across the world, we have authored a report that details the themes and trends we believe will mold the industry in 2023 and beyond. 

Location-based technology and services, such as ride-hailing, online marketplaces, and food delivery have become a vital part of daily life. The effectiveness of these services depends on accurate, recent, and comprehensive point-of-interest (POI) data. However, most public maps and widely used POI data sources are outdated.

Experts predict that the need for location-based services will continue to increase, with a projected growth rate of 24.3% and to an industry market cap of over $300 billion by 2030. As the demand for these services grows, the need for reliable mapping solutions becomes increasingly important.

Good quality data is crucial for the operational efficiency of location-based businesses. Location-based analyses used in critical decision-making processes rely on the quality and accuracy of data powering them.

However, location data supply chains are characterized by a lack of transparency and authenticity, because data vendors prioritize volume over quality. To ensure that our customers make the most of their data purchase, we have made significant strides in identifying and erasing fraudulent data within our datasets. One way we achieve this is by examining our own data sources and constantly monitoring activity within our mobility and POI data feeds. We use data visualisation and proprietary AI models to spot instances of low-quality or fraudulent data and remove them before reaching customers.