SHORT Case StudY

Launching an internal Machine Learning product in 11 weeks.

Identifying the best investment opportunities manually posed a significant challenge for the team. Even with supporting algorithms, evaluating so many individual sites was time-consuming.
Enterprise Solutions
Global leader in fitness with over 2,500 fitness centers globally.
Technologies used:
Posit Connect
R/Shiny

What business problem
did we face?

Identifying the best investment opportunities manually posed a significant challenge for the team. Even with supporting algorithms, evaluating so many individual sites was time-consuming, and collecting and managing results proved cumbersome. There was a possibility to automate this process, enabling the examination of a greater number of opportunities more efficiently. This automation aimed to speed up the Real Estate team's operations and streamline their workflow, addressing the need for a more effective and manageable approach to site and market analysis.

The solution we
proposed

Our app integrates analytics and machine learning to simplify and accelerate the Real Estate team's analysis of sites and markets. It quickly assesses potential sites, reducing manual labor and speeding up decisions. 

By handling numerous sites at once and offering insights with data and predictive models, the app boosts efficiency in pinpointing top investment opportunities.

The impact of our solution
and its ROI

Contact Us

Innovative, production ready product delivered in 11 weeks.

Testimonial

We could see how many logins and how much time was being spent on the app. In just the first month, the average time per user was at around 10 hours, which surpassed our expectations.

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