TICKET MANAGEMENT

Nightly Duplicate-Ticket Cluster Report from Postgres to Email

Runs each night to cluster the day's open tickets stored in Postgres into likely-duplicate groups and emails support leads a digest of the clusters to merge.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionQuery today's open tickets from PostgresPostgreSQLPostgres
  • ActionCluster tickets by root issue with OpenAIOpenAI
  • LogicProceed only if a duplicate cluster exists
  • ActionFormat the clusters into a digest
  • OutputEmail merge-candidate digest to leadsGmailGmail

What it does

Produces a once-a-day backstop for duplicates that slipped past real-time checks. It reads the day's open tickets from your Postgres store, groups them into clusters that look like the same underlying issue, and emails leads a prioritized digest of merge candidates.

When to use it

Use it when tickets live in your own database (or a synced mirror) and you want a human-reviewed sweep rather than per-ticket automation. Great for catching duplicates that arrived through different channels.

How it works

  1. 1A nightly schedule triggers the flow.
  2. 2Query Postgres for tickets created or updated today that are still open.
  3. 3Send the batch to OpenAI to cluster tickets by shared root issue and rank clusters by size.
  4. 4Branch: only build a report if at least one multi-ticket cluster exists.
  5. 5Format the clusters into a readable digest with ticket IDs, requesters, and suggested primary ticket.
  6. 6Email the digest to the support leads distribution list via Gmail.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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