Retail Manufacturing Analysis using Machine Learning Techniques

Sangoi, Meet Deepen (2023) Retail Manufacturing Analysis using Machine Learning Techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

It is easy to make confident business decisions by picking up understanding customer into customer behaviour through predictive investigation. The objective is to focus customer obtaining propensity. Having numerous competitors to discover unused customers and keep existing clients, has come about in incredible bargain of pressure between competing businesses. As a result, offering the leading customer benefit and continuously keeping the stock more stock in advance may advantage companies in all ways. The method of gathering a customer base into a few categories based on demands, conduct, cash, etc. is known as Customer Division or customer categories. While item division is the method of classifying items into diverse categories. The major objective of our project is to separate customers and items into different clusters based on distinctive criteria to procure comes about. There are a few calculations which will parcel customers based on different measurements. These are utilized to find covered up designs in data, discover important, steadfast customer, get it consumer obtaining propensities, and more. To move forward decision-making and make the foremost exact show conceivable, cluster examination is done. This research work has compared five for products and eleven for customer, clustering calculations and chosen the most excellent of them for advance analysis.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Chikkankod, Arjun UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Business Logistics H Social Sciences > HF Commerce > Marketing > Consumer Behaviour Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	02 Jan 2025 13:44
Last Modified:	02 Jan 2025 13:44
URI:	https://norma.ncirl.ie/id/eprint/7263

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