Using publicly available Instacart grocery information, I was tasked with discovering:
- The sales team needs to know what the busiest days of the week and hours of the day are (i.e., the days and times with the most orders) in order to schedule ads at times when there are fewer orders.
- They also want to know whether there are particular times of the day when people spend the most money, as this might inform the type of products they advertise at these times.
- Instacart has a lot of products with different price tags. Marketing and sales want to use simpler price range groupings to help direct their efforts.
- Are there certain types of products that are more popular than others? The marketing and sales teams want to know which departments have the highest frequency of product orders.
This repository contains:
- 2. Data / Prepared Data - the dat that I had access to and the data I preapred from it
- 3. Scripts - the Python scripts I used to analyse the data
- 4. Analysis - the visualisations of my analysis
- 5. Client - the final report I prepared for the customer