Big Mart Sales Prediction Exploratory with the Concepts of Clustering
Kata Kunci:big mart, CRM, clustering
AbstrakBig marts record data related to product sales with their various dependent or independent factors as an important step to help forecast demand and inventory management in the future. Big mart tries to understand the properties of products and outlets that play an important role in increasing sales. While the increase in sales can not be separated from the relationship with customers. Customers can be grouped into different categories where marketing people can use targeted marketing and retain customers, this is commonly known as Customer Relationship Management (CRM). Managing a successful CRM implementation requires an integrated and balanced approach to technology, processes and people. Cluster analysis is widely used in many applications such as market research, pattern recognition, and data analysis, as it can help marketers find distinct clusters in their customer base.
Tri Wiyanti, D. ., & Rosyida, I. (2021). Big Mart Sales Prediction Exploratory with the Concepts of Clustering. Proceeding KONIK (Konferensi Nasional Ilmu Komputer), 5(1), 109–114. Diambil dari https://prosiding.konik.id/index.php/konik/article/view/32
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