Classifications of Offline Shopping Trends and Patterns with Machine Learning Algorithms
Muta'alimah Muta'alimah,
Cindy Kirana Zarry,
Atha Kurniawan
et al.
Abstract:Advancements in technology have made online shopping popular among many. However, the use of offline marketing models is still considered a profitable and important way of business development. This can be seen in the 2022 Association of Retail Entrepreneurs of Indonesia (APRINDO), which states that 60% of Indonesians shop offline, and in 2023, more than 75% of continental European consumers will prefer to shop offline. This is because many benefits can be achieved through offline marketing that cannot be obt… Show more
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