Tryolabs developed a demand forecasting solution for SNCFL able to predict the occupancy rate of two of their parking lots adjacent to the train stations.
Now, our client can forecast the demand of the parking occupancy up to 1 day in advance.
Our team was able to have a prototype running in production after only one week.
How Machine Learning is reshaping Price Optimization
Modeling the consumer purchase decision
Modeling the consumer purchase decision
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