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Smart Deployment

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What is the best location for your future activities?

Geospatial data provides crucial information to determine the ideal location for your future operations. AI can process these huge volumes of data to fuel decision-making about your future facilities.

Functionalities

    Supply/demand ratio and constraints management

    Using geospatial data, AI determines supply and demand scores based on rules you define.

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    Add constraints to refine the optimal configuration of your development projects. Use unlimited data sources and volumes to make objective decisions.

  • Location of zones and exploitation of data sources

    Identify the most suitable areas for your development projects in real-time from multiple data sources. Reduce the search area for potential sites.

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    Satellite images, information on electrical networks, gas networks, road traffic, parking areas, etc.

  • Use your feedback

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    Improve Smart Deployment performance by integrating corrected and updated data.

SMART DEPLOYMENT IN ACTION

  • ELECTRIC CHARGING STATIONS NETWORK

    Smart Deployment has helped optimize the implementation of electric vehicle charging devices.

    The company went from 7,400 potential locations to about 250 target locations in Belgium (-96.6%) and from 8,726 to 250 in Quebec City (-97.1%).

    The reduction in manual work allows the teams to focus on higher value-added tasks!

  • CONSTRUCTION

    One of our construction customers uses satellite imagery and Smart Deployment's overlay visualization module (traffic networks, parking spaces, electrical networks, gas pipes, etc.).

    This allows him to analyze the environment in which it operates and to explore the data at an extremely precise scale to optimize its activity.

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Our publications

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Synthetic data or how to share sensitive data…

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023

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Introduction to OpenStreetMap: How to leverage…

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.

2023

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Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

2023

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See our publications