Nov 11 2022 3 mins 2
The Measurement Minute with Gary Angel
Building a predictive queue management model is the penultimate and most interesting step in the process of building a queue management system. We used two different analytic techniques to tackle the problem: classic time-series and neural networks. The advantage of time series is that it is simple, easy to implement and productionize, and almost guaranteed to be performant. The advantage to neural networks is that we can advantage of some of the additional data we have about the store’s traffic and occupancy to improve the prediction.
Building a predictive queue management model is the penultimate and most interesting step in the process of building a queue management system. We used two different analytic techniques to tackle the problem: classic time-series and neural networks. The advantage of time series is that it is simple, easy to implement and productionize, and almost guaranteed to be performant. The advantage to neural networks is that we can advantage of some of the additional data we have about the store’s traffic and occupancy to improve the prediction.
