Case Study: A.I. to predict ideal kiosk locations
AI to predict ideal kiosk locations
Critical Future’s Machine Learning model helped an American leading company to decide where to allocate new kiosks, increasing its commercial value.
Challenge
This leading American innovator needed a data driven approach to decide where to allocate new kiosks for the eco-friendly business which pays for mobile handsets
What Critical Future did
Critical Future developed a Machine Learning model, which can predict the ideal locations for the kiosks. During the project, we took client data and built a custom database in Python. From here we ran analytics and data visualization to develop key insights. The final stage involved predictive modelling to identify optimal kiosk locations.
Value delivered
This AI System is leading the market in kiosk allocation. The old methods involving human judgement, fail to capture many hidden features, which the machine can find within the data. Using Machine Learning increases the accuracy of kiosk allocation with a direct benefit in revenues for the client. The AI System is an asset which increases the commercial value of the client.