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Detecting Customer Purchasing Patterns using Association Rule Mining M.Sc. Research Project Data AnalyticsRhutujit Day Parader Student ID: 20187416 School of Computing National College of IrelandSupervisor:
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01
Collect and analyze customer data from various sources such as sales records, website activities, and surveys.
02
Use data analysis tools to identify patterns and trends in customer purchasing behavior.
03
Segment customers based on their buying habits, preferences, and demographics.
04
Develop customer profiles or personas to better understand their needs and preferences.
05
Create targeted marketing campaigns and promotions based on the detected patterns to increase sales and customer satisfaction.

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Retail businesses looking to improve their sales and customer retention rates.
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Marketing departments seeking to enhance their targeting and personalized marketing strategies.
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Online businesses aiming to provide a more tailored shopping experience for their customers.
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Businesses looking to optimize their inventory management and product offerings based on customer demand.
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Detecting customer purchasing patterns involves analyzing data to identify trends and behaviors in customer buying habits.
Businesses that want to understand their customers better and improve marketing strategies are required to file detecting customer purchasing patterns.
To fill out detecting customer purchasing patterns, businesses need to collect and analyze data on customer transactions and behavior.
The purpose of detecting customer purchasing patterns is to gain insights into customer behavior and preferences, and to tailor marketing strategies accordingly.
Information such as customer demographics, purchase history, and frequency of purchases must be reported on detecting customer purchasing patterns.
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