search query: @journal_id 1336 / total: 189
reference: 8 / 189
| Author: | Casabayó, M. Agell, N. Aguade, J.C. |
| Title: | Using AI techniques in the grocery industry: identifying the customers most likely to defect |
| Journal: | International Review of Retail, Distribution and Consumer Research
2004 : JUL, VOL. 14:3, p. 295-308 |
| Index terms: | Artificial intelligence Consumer behaviour Retailing Algorithms Spain |
| Freeterms: | Fuzzy logic |
| Language: | eng |
| Abstract: | This article focuses on the predictability of customer behaviour using the LAMDA classifier (Learning Algorithm Machine for Data Analysis). Particularly it is studied which customers are most likely to defect due to appearance of a new retailer. The example data is gathered from a Spanish grocery chain. |
SCIMA