09-01-2020 23:01 PM - last edited 09-09-2020 07:58 AM
Customer Intelligence Analytics dashboard provides a comprehensive overlook to the Sales Manager regarding the distribution and buying pattern of his customers across various domains and territories. It focuses on the segregation of products as bikes and non-bikes, which helps to provide a comparative look at the numbers. Knowing the profit per customer helps the company in assessing which customers to target for its marketing strategies in order to boost the revenue. The insight section of the dashboard provides a more detailed look at the customer portfolio. Customers are divided into three categories - Premium, Loyal and Medicare & Economical, based on their income brackets, buying pattern, location, profit per head, etc. Manager can have a look at the key metrics depending on these categories. The analytics section helps identify potential customers and how much profit they can bring into the company. Various demographics are taken into consideration to identify these customers which include occupation, age group, education, gender, etc. It uses a complex machine learning algorithm to identify which non-bike buying customers can be converted into a bike buyer over a certain period. Overall, the dashboard enables manager to be more customer centric in their decision-making process.