Please go through the problem statement and find the Dataset attached in the Project Section.

Grocery Store Data: dataset_group.csv

The project involves conducting a thorough analysis of Point of Sale (POS) Data for providing recommendations through which a grocery store can increase its revenue by popular combo offers & discounts for customers.

Problem Statement:

A Grocery Store shared the transactional data with you. Your job is to identify the most popular combos that can be suggested to the Grocery Store chain after a thorough analysis of the most commonly occurring sets of items in the customer orders. The Store doesn’t have any combo offers. Can you suggest the best combos & offers?

Exploratory Analysis

• Exploratory Analysis of data & an executive summary (in PPT) of your top findings, supported by graphs.
• Are there trends across months/years/quarters/days etc. that you are able to notice?

Use of Market Basket Analysis (Association Rules)

• Write Something about the association rules and their relevance in this case
• Add KNIME workflow Image or Python package used
• Write about threshold values of Support and Confidence

Associations Identified 

• Put the associations in a tabular manner
• Explain about support, confidence, & lift values that are calculated                                 

A suggestion of Possible Combos with Lucrative Offers

• Write recommendations
• Make discount offers or combos (or buy two get one free) based on the associations and your experience          

Tools to be used:

1. KNIME Analytics Platform or
2. Tableau or
3. Python

Please note the following:

• Your submission should include the following:
  • A PowerPoint Presentation (Deck of min 15 slides) - You will be evaluated based upon this. (You can convert PPT to PDF, that is also acceptable)
  • Supporting file- You can use any tool(Tableau or Python or KNIME) used in the DSBA program for this project. Its a must to share the code for reference. 

Scoring guide (Rubric) - DSBA MRA Project - Milestone 2