Smart offered platform in e-business using artificial intelligence technology and deep neural network

Subject Areas :

Ali Najafi ¹ , javad niknafs ² , sondos bahadori ³ , علیرضا اسفندیاری مقدم ⁴

1 - Department of Management, Hamedan Branch, Islamic Azad University, Hamedan, Iran
2 - Department of Management, Hamedan Branch, Islamic Azad University, Hamedan, Iran
3 - Computer Department, Ilam Branch, Islamic Azad University, Ilam, Iran
4 - Department of Management, Hamedan Branch, Islamic Azad University, Hamedan, Iran

Received: 2024-06-08 Accepted : 2025-05-11 Published : 2024-04-16

Keywords: recommender system, make smart, electronic business, machine learning, deep neural network,

Abstract :

In this research, a new combined model for offering diverse products of different businesses to a customer in a group (bundling) in e-commerce market has been presented, which has not been used in the research conducted so far. At first, the data in the DigiKala store data is collected and clustered in levels of loyalty and pre-processing, it becomes SOM. In the following, customers using effective variables based on the algorithm

 are determined. Finally, the Apriori Algorithm classification model of the communication rules in each product package is also by the algorithm

Vector machine is applied to recommend product bundling to customers. The discovered model is a new way to personalize product bundling and marketing managers can use it in their decisions. By applying the proposed model, product bundling is determined more accurately. Companies can do direct marketing and recommend appropriate product bundling to their customers by considering different levels of customer loyalty and the characteristics of each market segment. They can also offer different types of promotions such as discounts and coupons to customers. Thus, companies can attract new customers, motivate existing customers to buy, and retain valuable customers

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