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Instacart Project

Company Background

  • Instacart is a grocery / household goods delivery and pickup service (available in US and Canada)
  • Customers order online (website / app) and have a personal shopper pick up at the stores and deliver on the same day
  • Offer 24/7 delivery service
  • Major retailers / grocers: Costco / CVS / Target

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Motivation

  1. Understand customer order behavior & repeat purchases

    • help Instacart find new retailers or grocers to satisfy customer needs
  2. Understand the traffic by day (Sunday to Saturday) and time (24 hours timeframe)

    • help Instacart effectively allocate the number of workers to meet customer demand

Project Details

  1. Tools: DbVisualizer & PostgreSQL

  2. Dataset provided by Modern Data Lab

  3. Tableau (link)

Key Findings

  1. Custumer Order Behavior

    • Customers commonly ordered 5 products in each purchase
    • The top 10 products customers order are all fruits (Banana: 1st place)
    • Fresh fruits and vegetables are also most commonly reordered
    • On average, customers are 60% likely to reorder the same products
  2. Instacart traffic

    • Weekends have more customers and purchase an average of 2 more products in each order compared to weekdays
    • Customers tend to shop in afternoons (2pm - 4pm) and in mornings (9am - 11am)
    • The department (produce) and aisles (fresh fruits & fresh vegetables) are the busiest everyday in the afternoon

Recommendations

  • Partner with local fruit and veggie stores to meet customers' huge demand in fresh fruits and vegetables to prevent pontential shortage
  • Ensure a variety of products are in stock in different places as customers tend to make repeat purchases
  • Have more personal shoppers available on weekends and in 9 - 11 am and 2 - 4 pm to meet customer demand and satisfaction