GIS for Logistics Industry

GIS solutions enable intelligent mapping and spatial analysis of specific locations through intelligent analysis of massive data such as GPS data, mobile network data or open data (e.g. INE socio-demographic data)

Other types of BigData, such as the analysis of roads, inclination of the terrain and distances, travel times, allow you to analyze the environment, accessibility and, by comparing locations, identify the best locations for your logistics centers.

These same analyses, integrated into a Geographic Information System (GIS), allow us to understand where our target customer is and where to carry out their activity, providing the sales team a tool that multiplies their capacity and performance.

This same data and analysis helps to detect bottlenecks throughout the logistics chain, focusing decisions and reducing costs.

Use Case: Establishing origin-destination matrices through the use of telephone data improves the success rate in deliveries and achieves better delivery-collection planning. Conclusion: The end user and the delivery drivers receive a better service: calculating routes in real time, avoiding incidents and adverse traffic conditions in real time, or integrating indoor guidance.

One of the biggest challenges in the logistics sector is what is known as “the problem of the last mile. To solve this, we develop platforms that monitor distribution vehicles in real time, track deliveries and offer real-time transport and routing alternatives for the delivery process, as well as re-planning following deliveries.

GIS solutions allow you to identify trends or patterns of past behavior, control what is happening in the present and make future predictions through a simple and intuitive dashboard updated in real time.

The visualization of assets in a data analysis dashboard that integrates BigData and IoT technologies and with all the customization tools for the end user, optimizes decision-making and, with it, the organization’s activity, taking into account different flows of data such as traffic, weather, passing regulations as defined in each municipality or city, etc.

This visualization combines maps and alphanumeric indicators with consultation, filtering, search and reporting, and other customizable tools.

Visualizing assets in a data analysis dashboard that integrates BigData and IoT technologies optimizes decision-making and activity such as: accounting for different flows of data like traffic, weather, and passing regulations as defined in each municipality or city, etc.