To simplify the work of analysts and maximize business results, Datlo developed an Artificial Intelligence model that automates the analysis in the process of identifying new strategic locations.
Territorial analysis is one of the responsibilities of an expansion analyst, but it can be complex and time-consuming — especially when dealing with a large volume of regions and units. Additionally, team turnover often results in knowledge loss and a long adaptation period for new employees.
To address this challenge, Datlo developed an AI that makes territorial analysis simpler, faster, and more reliable.
Our Artificial Intelligence evaluates the performance of your physical units in conjunction with the characteristics of the territory, identifying patterns and understanding which factors drive better results. It automatically discovers the locations with the highest potential for expanding your chain.
In other words, it’s like having a smart system that transforms complex data into location recommendations, indicating where to expand with confidence and a higher chance of success.
First, it is necessary to make a data input:
Location of your current units + a performance metric for each unit.
Then, the model returns an output of results:
A map with recommendations for locations to open new units.
When importing your current units, the AI will analyze thousands of characteristics around them, at different scales. This way, it will understand how the performance of each unit varies across different scenarios.
With just a few clicks, the input and output process of the model occurs in only 4 steps, where only the first step (input) requires your interaction — the others are automated by the platform and take less than 1 minute.
The following diagram illustrates the entire process:
Import your current units with a performance metric for each one.
Datlo enriches with over 1000 attributes for each territorial unit.
AI performs millions of correlations to understand your ideal locations.
Map with the best locations to expand your units.
The output is displayed as a clear and objective qualitative classification on the map, allowing analysis on two scales: municipal, with the city boundary, and intramunicipal, using the territorial units of the Census Block.
Municipal Scale
Census Block Scale
Layers of 'municipal boundaries' and 'intramunicipal census blocks,' classified by the success parameter for opening new units for retail network X, displaying three categories: green (good), yellow (medium), and red (bad).
Our AI analyzes thousands of parameters simultaneously, something impossible with manual calculations. Additionally, it continuously learns which factors are most important for your analysis, adjusting based on the behavior of your current units. This reduces biases and makes recommendations more accurate and strategic.
Territorial analysis is complex, requiring the consideration of multiple layers and variables. While a manual process can take hours to identify the best expansion points in a city, our AI does it in seconds — the entire country in just 30 seconds, a task that would take 22,000 hours manually!
As it is a proprietary model from Datlo, operating 100% on our infrastructure, your data remains secure, without being processed by third-party artificial intelligences such as OpenAI, DeepSeek, Google, among others.
Human analyst
Between
10-30
in general
On average
4h
for 1 city
On average
0
cities
AI
Expansion
Over than
1000
50x more parameters
All cities in
30s
simultaneously
480x time savings
100%
of Brazil
Viability at large scale.
*Results obtained in tests with humans and the AI model. Results may vary in each application and can be influenced by various factors.
You’ve probably heard of Lookalike, a technique that uses predefined rules to compare locations based on fixed parameters. But that’s not what Datlo does.
Our technology goes beyond: we use machine learning, a more advanced method that doesn’t rely on rigid criteria. Instead, we analyze a vast network of correlations, with millions of connections, ensuring much higher accuracy than other approaches.
Datlo converts the cognitive effort of the model into relevant business units: tokens. In the expansion AI, each token represents a specific measure related to the generated output.
01
Token
Area with approx.
14.000
people
This is the first step toward taking your company to a new level of commercial evolution. Share your challenges and discover how we can turn them into real growth opportunities.
Submit your request, and soon a Datlo specialist will get in touch to understand your needs and continue the conversation.
Book a meeting with our specialist and see, in practice, how our platform can transform your company's commercial strategy.
After the acquisition, you will have close support from our Customer Success team, ensuring assistance from training to ongoing use.
New Tower Building, Duque de Caxias Ave., 882, Tower 1 – Rooms 402, 403 and 409, Zone 01, Maringá – PR, Brazil.
© Datlo 2025. All rights reserved.
Datlo uses cookies and similar technologies to enhance the user experience on our website and optimize our services. To learn more, please refer to our Privacy Policy.
