A Model for Augmented Reality Efficiency Analysis on E-Commerce Websites and its Feasibility Analysis for a Gold Jewelry Company

Nowadays, adding 3D (3-dimensional) photos of products to websites has become a necessity in terms of user loyalty and competitive advantage in the market. The fact that users can see the product through augmented reality technology during their online shopping allows them to get to know the product more closely. While innovative shopping offers 3D photography or augmented reality, this experience replaces traditional shopping, yet there are still many question marks in companies about whether this application will be successful and in case it is successful, in which products. For solving this question mark, a proper classification analyzing with deep learning is needed to identify product families to review performance of the implementations of 3D web design in the different product categories. Research into the analysis of successful applications helps companies save time and money and support decision-making in their transition to 3D integration. There are many criteria that determine success. Deep Learning analysis and classification methods are one of the multi-input statistical analysis methods that helps to categorize products into groups. The fact that the 3D application has a comprehensive product range is one of the main reasons for using these methods. Classification products into groups has benefits, such as effective and fast results for companies to determine strategy. These analyzes also assist companies in making 3D plans of selected (predicted to be successful) products. In this study, the classification of products and analyzing success rate of product families’ effectiveness of implementations of 3D, the concept of e-commerce, augmented reality applications’ success rate for product families’ effectiveness are explained. In addition, changing customer behaviors and the manufacturer's view of 3D web design have been tried to be explained with previous researches. It is planned to conduct an evaluation with a jewelry company. 3D applications increase their value in the virtual world day by day. While witnessing the bases of the Meta age, the experience of augmented reality in shopping is one of the main steps of the future. The classification of products and analyzing product families’ effectiveness of implementations of 3D web design allows to monitories the future e-commerce.

Keywords: Augmented Reality, 3D Integration in E-commerce, Customer Behavior

Nowadays, adding 3D (3-dimensional) photos of products to websites has become a necessity in terms of user loyalty and competitive advantage in the market. The fact that users can see the product through augmented reality technology during their online shopping allows them to get to know the product more closely. While innovative shopping offers 3D photography or augmented reality, this experience replaces traditional shopping, yet there are still many question marks in companies about whether this application will be successful and in case it is successful, in which products. For solving this question mark, a proper classification analyzing with deep learning is needed to identify product families to review performance of the implementations of 3D web design in the different product categories. Research into the analysis of successful applications helps companies save time and money and support decision-making in their transition to 3D integration. There are many criteria that determine success. Deep Learning analysis and classification methods are one of the multi-input statistical analysis methods that helps to categorize products into groups. The fact that the 3D application has a comprehensive product range is one of the main reasons for using these methods. Classification products into groups has benefits, such as effective and fast results for companies to determine strategy. These analyzes also assist companies in making 3D plans of selected (predicted to be successful) products. In this study, the classification of products and analyzing success rate of product families’ effectiveness of implementations of 3D, the concept of e-commerce, augmented reality applications’ success rate for product families’ effectiveness are explained. In addition, changing customer behaviors and the manufacturer's view of 3D web design have been tried to be explained with previous researches. It is planned to conduct an evaluation with a jewelry company. 3D applications increase their value in the virtual world day by day. While witnessing the bases of the Meta age, the experience of augmented reality in shopping is one of the main steps of the future. The classification of products and analyzing product families’ effectiveness of implementations of 3D web design allows to monitories the future e-commerce.

Anahtar Kelimeler: Augmented Reality, 3D Integration in E-commerce, Customer Behavior