We Paid to Reprint 2,000 Report Cards. So We Gave Our Support Team a Memory.

Description and use

Ednovax Support uses FalkorDB to capture WhatsApp support messages, triage them, link to tickets and code, and remember promises, preventing costly reprints and improving support reliability.

Problem

Support requests from schools were lost in WhatsApp chats, leading to missed promises and a costly reprint of 2,000 report cards.

Outcome

The system reduced missed promises, avoided costly reprints, and provided a structured memory of support interactions, code dependencies, and owner assignments.

Workflow

• 1. Receive WhatsApp message
• 2. AI triage classifies message as bug, question, etc.
• 3. FalkorDB retrieves related tickets via vector search
• 4. Reuse existing ticket or create new one
• 5. Link ticket to message, school, feature, and code files
• 6. Assign developer owner and create GitHub issue
• 7. Track promises and send reminders
• 8. Close loop when PR merges and teacher confirms

Evidence

We found out after the printing was done.

Source

We lost track. Which school asked for what, and when? It was scattered across personal chats and group threads.

Source

We built on FalkorDB. It gave us four things we needed in one place: Cypher queries, vector indexes, graph algorithms, many graphs in one database.

Source

The desk links the message to a ticket. The four teachers in the live demo are played by AI.

Source