Customer-Centric Sales Forecasting Model: RFM-ARIMA Approach

Abstract

Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of customer data.

Keywords

• business intelligence
• customer analysis
• sales forecasting
• exploratory analysis
• segmentation
• decision support system
• recency
• auto-regressive integrated moving averages (arima)
• long short-term memory (lstm)
• c53
• e30
• e37