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Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17

the retail industry. This new situation imposes stronger requirements on demand forecasting methods. Due to shorter … reliability of demand forecasting systems in order to utilize the full demand potential and avoid oversupply. This new situation … calls for forecasting methods that can handle large variance and complex relationships of demand factors. This research …

Persistent link: https://www.econbiz.de/10010338778

Improving customer loyalty evaluation methods in the grocery retail industry : a data mining approach

Khodabandehlou, Samira; NikNafs, Ali Akbar - In: International journal of electronic customer … 10 (2016) 2/4, pp. 158-178

Persistent link: https://www.econbiz.de/10011688029

Application of neural networks technique in predicting impulse buying among shoppers in India

Prashar, Sanjeev; Parsad, Chandan; Vijay, T. Sai - In: Decision 42 (2015) 4, pp. 403-417

Persistent link: https://www.econbiz.de/10011530812

Predicting consumer retail sales using neural networks

Zhang, G. Peter; Qi, Min - In: Neural networks in business: techniques and applications, (pp. 26-40). 2003

Persistent link: https://www.econbiz.de/10001762768

Using consumer preference data in forecasting demand in apparel retailing

Sundararaman, Banumathy; Ramalingam, Neelakandan - In: Journal of fashion marketing and management 28 (2024) 2, pp. 316-333

Persistent link: https://www.econbiz.de/10014495527

Evaluating promotional pricing effectiveness using convenience store daily sales data

Naragain Phumchusri; Warot Kosawanitchakarn; Sirawich … - In: Journal of revenue and pricing management 22 (2023) 5, pp. 362-373

Persistent link: https://www.econbiz.de/10014372651

Category expansion through cross-channel demand spillovers

Guler, Ali Umut - In: International journal of research in marketing : IJRM ; … 40 (2023) 3, pp. 629-658

Persistent link: https://www.econbiz.de/10014383232

User churn model in e-commerce retail

Fridrich, Martin; Dostál, Petr - In: Scientific papers of the University of Pardubice 30 (2022) 1, pp. 1-12

In e-commerce retail, maintaining a healthy customer base through retention management is necessary. Churn prediction …

Persistent link: https://www.econbiz.de/10013206075

Product choice with large assortments : a scalable deep-learning model

Gabel, Sebastian; Timoshenko, Artem - In: Management science : journal of the Institute for … 68 (2022) 3, pp. 1808-1827

Persistent link: https://www.econbiz.de/10013260134

Determinants of customer experience, satisfaction and willingness to purchase from virtual tour of a retail store

Bhatnagar, Swati; Yadav, Rajan - In: International journal of management practice : IJMP 16 (2023) 1, pp. 38-58

Persistent link: https://www.econbiz.de/10014315776

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