Demand Forecasting in the Fashion Industry: A Review

Nenni, Maria Elena; Giustiniano, Luca; Pirolo, Luca

doi:10.5772/56840

Cited by 85 publications

(64 citation statements)

References 43 publications

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“…These include macroeconomic conditions, marketing strategies, retailing strategies and fashion trends. These factors, coupled with the lack of long sales time series for most products, mean that the applicability of traditional forecasting techniques, such as exponential smoothing or regression models, is limited (Nenni, Giustiniano, & Pirolo, 2013;Sichel, 2008;Thomassey, 2014). This is in contrast to forecasting for ''basic'' fashion products such as men's shirts, which are characterized by long life-cycles, a lack of seasonality and small fluctuations.…”

Section: Forecasting In the Fashion Industrymentioning

confidence: 92%

The influence of product involvement and emotion on short-term product demand forecasting

Belvedere

Goodwin

2017

International Journal of Forecasting

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a b s t r a c tSales forecasters in industries like fast-fashion face challenges posed by short and highly volatile sales time series. Computers can produce statistical forecasts, but these are often adjusted judgmentally to take into account factors such as market intelligence. We explore the effects of two potential influences on these adjustments: the forecaster's involvement with the product category and their emotional reactions to particular products. Two forecasting experiments were conducted using data from a major Italian leather fashion goods producer. The participants' judgmental adjustments tended to lower the forecast accuracy, but especially when the participants had strong preferences for particular products. This appeared to result from a false consensus effect. The most accurate forecasts were made when the participants had no knowledge of the product and only received time series information, though a high level of involvement with the product category also led to a greater accuracy.

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Section: Forecasting In the Fashion Industrymentioning

confidence: 92%

The influence of product involvement and emotion on short-term product demand forecasting

Belvedere

Goodwin

2017

International Journal of Forecasting

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“…In addition, for an overview on older research on fashion sales forecasting, the work of Liu et al (2013) and that of are recommended. Nenni, Giustiniano, and Pirolo (2013) give also a review of the actual sate of fashion sales forecasting, however, with the focus on the different supply chain strategies. While these authors have not considered the possibility of applying user-generated content for prediction purposes, this survey paper adds this perspective into the discussion of sales forecasting.…”

Section: Fashion Sales Forecastingmentioning

confidence: 99%

A survey on retail sales forecasting and prediction in fashion markets

Beheshti-Kashi

Karimi

Thoben

et al. 2014

Systems Science & Control Engineering

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Sales forecasting is an essential task in retailing. In particular, consumer-oriented markets such as fashion and electronics face uncertain demands, short life cycles and a lack of historical sales data which strengthen the challenges of producing accurate forecasts. This survey paper presents state-of-the-art methods in the sales forecasting research with a focus on fashion and new product forecasting. This study also reviews different strategies to the predictive value of user-generated content and search queries.

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“…Our work tries to deepen and complete what has already been produced (see D' Amico et al, 2013;Nenni et al, 2013;Pirolo et al, 2013) by exploring some additional sub-fields. Our work tries to deepen and complete what has already been produced (see D' Amico et al, 2013;Nenni et al, 2013;Pirolo et al, 2013) by exploring some additional sub-fields.…”

Section: Introductionmentioning

confidence: 96%

Product lifecycle management and compliance with international standards: a case study analysis in the footwear industry

D'Amico

Giustiniano

Nenni

et al. 2014

IJPLM

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As the globalisation of markets in the footwear industry became more evident, several restrictions have been imposed by international directives, standards and regulations, as well as by market requirements. Such external needs are progressively pushing the footwear manufacturers to introduce continuous improvements in their production processes and in the firm management in general. The aim of this paper is to evaluate the awareness of the adoption of product lifecycle management (PLM) in the fashion industry, in order to describe the state of the art in the Italian context. To this extent, we investigated the conformity to industry-related technical regulations as a first step towards the international development of companies. The paper presents the preliminary results of a survey conducted in the Riviera del Brenta industrial district in the Veneto Region of Italy.

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Demand Forecasting in the Fashion Industry: A Review

Cited by 85 publications

References 43 publications

The influence of product involvement and emotion on short-term product demand forecasting

The influence of product involvement and emotion on short-term product demand forecasting

A survey on retail sales forecasting and prediction in fashion markets

Product lifecycle management and compliance with international standards: a case study analysis in the footwear industry

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