Investigating the behavior of meat customers in chain stores using data mining

Subject Areas : Agricultural Economics Research

Iman Radipour Kavkani ¹ , ROYA ESHRAGHI SAMANI ^{2 *} , bita Rahimibadr ³

1 - Agricultural Economics, Karaj Branch, Islamic Azad University, Karaj, Iran.
2 - Department of agricultural economics
3 - Economics, Karaj Branch, Islamic Azad University, Karaj, Iran.

Received: 2024-05-31

Keywords: Consumer behavior, data mining, certified product,

Abstract :

Data mining has been an effective solution to improve the efficiency and effectiveness of the retail industry. With access to transaction data, the RFM model can accurately segment customers. Customer segmentation is one of the most creative ways to help businesses gain deeper insight into customer buying behavior and adopt appropriate marketing campaigns to reach target customers. In this research, using the RFM model of the behavior of customers of chain stores of Shahrvand in Tehran (Mejidiyeh, Jumohori, Rahah, Adel and Shemiran Center), which in the period of June 1401 to the end of March of the same year, from these five branches of chain stores It was investigated that the citizens have bought meat. The findings of the research showed that the number of sales, the number of customers, and the number of loyal and good customers for meat products with ID and labels containing essential information are more than brands without information. Also, in the cluster of transitory and temporary customers, the number of registered meat customers is more than non-registered meat customers.