Use case

E-Commerce Order Exploration & Analysis

In this e-commerce analytics demo, we delve into a comprehensive knowledge graph that interlinks orders, products, sellers, and more to offer a multifaceted view of transactions. Starting with specific orders, we expand the exploration to include associated products and sellers, dynamically filtering by delivery status to highlight key data points directly on the visualization. This approach enables detailed insights into the e-commerce operations, enhancing decision-making and customer service strategies.

Tech stack

PuppyGraph
Apache Iceberg
Docker

Queries in natural language

  • City sales ranking TOP10
  • Product category sales ranking TOP10
  • Seller Sales ranking in 2017
  • Sales Volume Ranking ranking of products purchased by Sao Paulo's customers
  • Seller rating ranking

Want to try it yourself?

We've open-sourced the sample dataset, graph schema, and graph queries on GitHub, so you can recreate this demo in your own environment.

Visit GitHub Repository

Downloads

Sample dataset

Download

Schema JSON file

Download

Query groovy file

Download

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  • Available via Docker install

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Based on the Memory and CPU of the server that runs PuppyGraph.
  • 30 day free trial with full features
  • Everything in Developer + Enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required

Developer Edition

  • Forever free
  • Single noded
  • Designed for proving your ideas
  • Available via Docker install

Enterprise Edition

  • 30-day free trial with full features
  • Everything in developer edition & enterprise features
  • Designed for production
  • Available via AWS AMI & Docker install
* No payment required