Forecasting third-party mobile payments with implications for customer flow prediction

S Ma, R Fildes - International Journal of Forecasting, 2020 - Elsevier
Forecasting customer flow is key for retailers in making daily operational decisions, but small
retailers often lack the resources to obtain such forecasts. Rather than forecasting stores' …

Forecasting key retail performance indicators using interpretable regression

B Panay, N Baloian, JA Pino, S Peñafiel, J Frez… - Sensors, 2021 - mdpi.com
Foot traffic, conversion rate, and total sales during a period of time may be considered to be
important indicators of store performance. Forecasting them may allow for business …

Smart stores: A scalable foot traffic collection and prediction system

S Abrishami, P Kumar, W Nienaber - … , ICDM 2017, New York, NY, USA …, 2017 - Springer
An accurate foot traffic prediction system can help retail businesses, physical stores, and
restaurants optimize their labor schedule and costs, and reduce food wastage. In this paper …

[PDF][PDF] Customer flow forecasting with third-party mobile payment data

S Ma, R Fildes - 2018 - researchgate.net
Forecasting customer flow is the key for retailers when making their daily operational
decisions, but small retailers are often lack of funds and expertise to obtain such forecasts …

Embedded regression method based on dempster-shafer theory

B Panay Schweizer - 2020 - repositorio.uchile.cl
Los métodos de aprendizaje supervisado son cada vez más complejos y han ganado
popularidad en variadas áreas de estudio. Métodos como las redes neuronales …

Time Series Analysis and Forecasting for Business Intelligence Applications

S Abrishami - 2019 - search.proquest.com
Time Series Analysis and Forecasting for Business Intelligence Applications Page 1 FLORIDA
STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES TIME SERIES ANALYSIS AND …