A Python script that scrapes your Instacart order history and saves the data in a JSON file.

About The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

An e-commerce application inspired by InstaCart built using MERN stack

Buy ready made Instacart clone for your on demand grocery delivery business

The Instacart Component Library

This project will use the Instacart data provided for the Kaggle challenge. We will perform a deep EDA and we will build a recommender using Word2vec embeddings

The Python project focuses on analyzing Instacart sales data to identify distinct customer profiles, ultimately enhancing marketing strategies through improved customer segmentation.

Tiny python script that check's instacart's delivery availability and notifies you if a slot opens up.

Conducting EDA on Instacart orders

In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.

Automate checks for delivery windows and complete checkout on various grocery sites

AutoGrocer is a web application that allows users to automate one of the most important, yet monotonous errands out there - grocery shopping.

Chrome extension to notify when delivery or pick-up window is available on your favorite grocery delivery app. DOWNLOAD ->

SQL + Tableau Instacart Analysis

Used association ruling to find out which products were frequently bought together. Aim is to drive higher sales volume and customer retention.

Identifying customer preferences, recommend product and predict next order

Estudo de caso para análise de regras de associação (InstaCart data)

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

This repository contains the prototype of a product recommender based on data from online grocer Instacart. It was created as a group project for the Machine Learning Course for MSc Business Analytics at Nova School of Business and Economics.