Citation

Zulkiflee, Imran and Haw, Su Cheng and Naveen, Palanichamy and Yeoh, Eng Thiam and Tong, Yuen Chai (2024) Customer Relationship Management Dashboard with Descriptive Analytics for Effective Recommendation. Journal of Logistics, Informatics and Service Science, 11 (2). ISSN 2409-2665

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Abstract

Businesses looking to understand customer behaviour and take advantage of competitive advantages can benefit greatly from the Customer Relationship Management (CRM) dashboard with analytics capabilities. Organisations can effectively track and analyse key data, such as client interactions, purchase histories, and demographics, thanks to this userfriendly dashboard. The CRM dashboard provides data in a clear and straightforward manner by utilising a variety of visualisation techniques including bar charts, line charts, and heatmaps, allowing organisations to learn more about customer journeys, patterns, and behavioural trends. Additionally, the CRM dashboard's integrated recommender system is crucial. This system makes personalised product or service suggestions to clients based on their prior interactions and purchasing behaviour, improving engagement, and eventually boosting revenues. The CRM dashboard with analytics capabilities offers a complete solution for firms looking to manage and analyse customer data and interactions thanks to its user-friendly interface, visualisations, and recommender system. The CRM dashboard improved with suggestion elements is reviewed in this article along with a framework that combines analytics and visualisation capabilities.

Item Type:	Article
Uncontrolled Keywords:	Customer relationship
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5601-5689 Accounting. Bookkeeping
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Apr 2024 00:13
Last Modified:	03 Apr 2024 00:13
URII:	http://shdl.mmu.edu.my/id/eprint/12280

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