In this article we share with you how at DATOSBI we use Python and Kepler to optimize the analysis of delivery routes.
Automation of data analysis
Data analysis is a fundamental task in delivery logistics, as it provides valuable information for decision making. With Python, it is possible to automate this analysis and speed up the processing of large volumes of data.
Using libraries such as Pandas and NumPy, Python offers powerful tools for data manipulation and transformation. Furthermore, with the help of libraries such as Matplotlib and Seaborn, it is possible to visualize the data in a clear and concise manner, facilitating its interpretation.
Viewing delivery routes
Once the data has been analyzed, it is important to visualize delivery routes effectively. With Python and Kepler, it is possible to generate interactive maps that show delivery routes clearly and in detail.
Kepler is a geospatial visualization library that allows you to create interactive maps with Python. With Kepler, it is possible to add layers of information such as the locations of delivery points, optimal routes, and estimated arrival times. This visualization makes it easy to identify patterns and detect areas for improvement in the delivery process.
Route optimization with algorithms
One of the challenges in delivery logistics is finding the most efficient routes to minimize costs and delivery times. With Python and optimization algorithms, it is possible to find optimal routes in an automated way.
There are different optimization algorithms that can be implemented in Python, such as the nearest neighbor algorithm, the traveling salesman algorithm, among others. These algorithms allow finding approximate solutions to complex delivery route problems, considering restrictions such as vehicle loading capacity and customer preferences.
Python and Kepler integration
The integration of Python and Kepler allows you to take advantage of the best of both tools for delivery route analysis.
With Python, it is possible to perform data processing, route optimization, and implement machine learning algorithms. On the other hand, Kepler provides the ability to interactively visualize delivery routes on geospatial maps, making it easier to interpret results and identify areas for improvement.

Benefits and applications in logistics
The use of Python and Kepler in delivery route analysis offers various benefits and applications in the logistics field.
Some of the benefits include reducing delivery costs and times, improving operational efficiency, optimizing vehicle loading capacity, and identifying patterns and areas for improvement in the delivery process.
In terms of applications, these tools can be used in different industries that require the planning and management of delivery routes, such as e-commerce, food distribution, and transportation logistics.
Route analysis with artificial intelligenceand machine learning
Delivery route analysis can also benefit from the implementation of Artificial Intelligence (AI) and Machine Learning (ML) techniques.
With Python, it is possible to develop AI and ML models that can predict delivery times, identify traffic patterns, and optimize routes in real time.
Furthermore, with the integration of Kepler, it is possible to interactively visualize the results of these models, which facilitates decision making and the identification of opportunities for improvement in the delivery process.
Route analysis dashboard with Python and Kepler
This integration dashboard with Python and Kepler was developed by our DATOSBI consulting leader Jaime Gaspar.
In these visualizations we will explore the impact of distribution center locations, delve into key components, routing strategies, and how different center locations influence the efficiency of delivery networks.

You can see how this dashboard works on our YouTube channel: https://www.youtube.com/watch?v=RLXK8uN2CnM
How at DATOSBI can we optimize the delivery routes of your business?
Optimize your delivery routes with us to save money, increase customer satisfaction and save time.
Write to us at: info@datosbi.com so we can start boosting your business with strategic data analysis.
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