AUTOMATED MARKET BASKET ANALYSIS SYSTEM

NT

Through in depth research and observations carried on supermarket we have discorvered that retailers are willing to know what product is purchased with the other or if a particular products are purchased together as a group of items . Which can help in their decision making  with respect to placement of  product , determining the timing and extent of promotions on product  and also have a better understanding of customer purchasing habits by grouping customers with  their transactions.

 This project is aimed at designing and implementing a well-structured market basket analysis software tool to solve the problem stated above and compare the result to that of an existing software called WEKA.

1.3. AIM AND OBJECTIVE OF THE STUDY

The aim of the study  is to maximize profit for the retailers  by providing better services to the consumers

 The objective of this study are:

Cross-Market Analysis - Data Mining performs Association/correlations between product sales.

Identifying Customer Requirements - helps in identifying the best products for different customers. It uses prediction to find the factors that may attract new customers.

Customer Profiling - helps to determine what kind of people buy what kind of products.

1.4. METHODOLOGY

Data Pre-Processing

Due to the fact that the data we are getting is a raw data, raw data in the real world  may be incomplete it has to be pre-processed the raw data has to go through data cleaning, data integration, data normarlization,data reduction because without a quality data there will be no quality mining results.

data cleaning: This has to do with filling of missing values, resolving of inconsistencies in the raw data.

data integration: combining data from multiple sources and generating the user with unified view of the data

normarlization: normalization is used to minimize or to reduce redundancy.

data reduction: reduction of the data set that is much smaller in volume but yet yields the same analytical results

1.5. SCOPE OF THE STUDY

 This scope of the study focuses on Babcock Ventures supermarket and the scope of this project includes:

We aim to develop our very own market basket analysis software, which will be used in babcock university

The software will exhibit a colorful GUI(graphical user interface).

The software will be based on Apriori  .

We intend to conduct a research into the various branches of science that this software will be based on, such as artificial intelligence.

We will develop a software that will eventually stand out among other data mining software.

1.6. LIMITATION OF THE STUDY

 The limitations of this software will include:

Data restrictions: this is a major factor that stands in the way of the execution of this project. Since there is no data on households and individual consumers ,we neglect such purchases.

Time constraints: this is also a major factor due to the fact that it can't work on a small amount of raw data because it tends to mislead the retailer in a nut shell this software will work on large volumes of data