Forecasting sales in the supply chain: Consumer analytics in the big data era

T Boone, R Ganeshan, A Jain, NR Sanders - International journal of …, 2019 - Elsevier
Forecasts have traditionally served as the basis for planning and executing supply chain
activities. Forecasts drive supply chain decisions, and they have become critically important …

Sustainable supply chains in the age of AI and digitization: research challenges and opportunities

NR Sanders, T Boone, R Ganeshan… - Journal of Business …, 2019 - Wiley Online Library
Sustainability has become a global corporate mandate with implementation impacted by two
key trends. The first is recognition that global supply chains have a profound impact on …

[HTML][HTML] Deep learning in business analytics and operations research: Models, applications and managerial implications

M Kraus, S Feuerriegel, A Oztekin - European Journal of Operational …, 2020 - Elsevier
Business analytics refers to methods and practices that create value through data for
individuals, firms, and organizations. This field is currently experiencing a radical shift due to …

Demand forecasting with supply‐chain information and machine learning: Evidence in the pharmaceutical industry

X Zhu, A Ninh, H Zhao, Z Liu - Production and Operations …, 2021 - journals.sagepub.com
Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …

Googling fashion: forecasting fashion consumer behaviour using google trends

ES Silva, H Hassani, DØ Madsen, L Gee - Social Sciences, 2019 - mdpi.com
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 …

AI-enabled enterprise information systems for manufacturing

M Zdravković, H Panetto… - Enterprise Information …, 2022 - Taylor & Francis
ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …

Which product description phrases affect sales forecasting? An explainable AI framework by integrating WaveNet neural network models with multiple regression

S Chen, S Ke, S Han, S Gupta, U Sivarajah - Decision Support Systems, 2024 - Elsevier
The rapid rise of many e-commerce platforms for individual consumers has generated a
large amount of text-based data, and thus researchers have begun to experiment with text …

Twitter data analytical methodology development for prediction of start-up firms' social media marketing level

SH Jung, YJ Jeong - Technology in Society, 2020 - Elsevier
Social media marketing is an essential and important tool for start-up firms, which can help
start-up firms remedy the marketing limitations through ease and relatively low costs …

[HTML][HTML] Unfolding the link between big data analytics and supply chain planning

J Xu, M Pero, M Fabbri - Technological Forecasting and Social Change, 2023 - Elsevier
Big data analytics (BDA) has captured growing research interests in operations and supply
chain management literature, yet, despite the significant implication, extant knowledge falls …

The impact of the COVID-19 pandemic on the global web and video conferencing SaaS market

C Tudor - Electronics, 2022 - mdpi.com
The COVID-19 pandemic related government interventions produced rapid decreases in
worldwide economic and social activity, with multifaceted economic and social …