Use case
Telecom Customer 360 Graph Demo
This demo shows how to use PuppyGraph to spot churn risk early and improve customer satisfaction in a telecom support scenario. Power your customer support interactions with more accurate and faster insights with PuppyGraph. No ETL or data duplication required.
Tech stack

Docker

PuppyGraph
Queries in natural language
- Find how many churned customers each non-churned customer has contacted via phone calls, and sort customers by that count in descending order
- Identify the top 5% of phone numbers by number of calls made, then retrieve all support tickets filed by the customers who own those phone numbers
- Find all pairs of different customers who both filed escalated support tickets and have called each other
- Identify family plans where none of the members have made phone calls to any other member within the same plan
- For each family plan, count the number of calls made between different members of the same plan, and sort the plans by this count in descending order