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