Retail forecasting: Research and practice
This paper reviews the research literature on forecasting retail demand. We begin by
introducing the forecasting problems that retailers face, from the strategic to the operational …
introducing the forecasting problems that retailers face, from the strategic to the operational …
Demand forecasting for fashion products: A systematic review
K Swaminathan, R Venkitasubramony - International Journal of Forecasting, 2024 - Elsevier
Fashion is one of the most challenging categories for forecasting demand. Our study
provides a systematic literature review of the different forecasting techniques used in the …
provides a systematic literature review of the different forecasting techniques used in the …
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
Making appropriate decisions is indeed a key factor to help companies facing challenges
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
from supply chains nowadays. In this paper, we propose two data-driven approaches that …
Googling fashion: forecasting fashion consumer behaviour using google trends
This paper aims to discuss the current state of Google Trends as a useful tool for fashion
consumer analytics, show the importance of being able to forecast fashion consumer trends …
consumer analytics, show the importance of being able to forecast fashion consumer trends …
Attention based multi-modal new product sales time-series forecasting
Trend driven retail industries such as fashion, launch substantial new products every
season. In such a scenario, an accurate demand forecast for these newly launched products …
season. In such a scenario, an accurate demand forecast for these newly launched products …
Artificial intelligence in smart logistics cyber-physical systems: State-of-the-arts and potential applications
Y Liu, X Tao, X Li, AW Colombo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Logistics creates tremendous economic value through supporting the trading of goods
between firms and customers, thereby improving the welfare of the society. In order to …
between firms and customers, thereby improving the welfare of the society. In order to …
A comparative study on fashion demand forecasting models with multiple sources of uncertainty
S Ren, HL Chan, P Ram - Annals of Operations Research, 2017 - Springer
Fast fashion is a timely, influential and well observed business strategy in the fashion retail
industry. An effective fast fashion supply chain relies on quick and competent forecasts of …
industry. An effective fast fashion supply chain relies on quick and competent forecasts of …
Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends
New fashion product sales forecasting is a challenging problem that involves many business
dynamics and cannot be solved by classical forecasting approaches. In this paper, we …
dynamics and cannot be solved by classical forecasting approaches. In this paper, we …
Predicting fashion trend using runway images: application of logistic regression in trend forecasting
S Chakraborty, SMA Hoque… - International Journal of …, 2020 - Taylor & Francis
Trend forecasting is a challenging job and needs precise prediction based on colour,
pattern, and style. Nowadays, researchers are applying machine learning and predictive …
pattern, and style. Nowadays, researchers are applying machine learning and predictive …
Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment
When a new book is launched the publisher faces the problem of how many books should
be printed for delivery to bookstores; printing too many is the main issue, since it implies a …
be printed for delivery to bookstores; printing too many is the main issue, since it implies a …