Duplicate tickets are one of those problems every service desk has, but few have a real system for. A client emails about an issue, then calls about the same issue an hour later, and now there are two open tickets, two techs potentially working the same problem, and no clean way to reconcile them without someone noticing manually.
The instinct is usually “just match on subject line”
That’s the first thing most people assume duplicate detection means, and it’s also why most MSPs don’t trust automated deduplication. Subject lines are inconsistent. “Email not working” and “Outlook issue this morning” could be the same problem or two completely different ones, and a naive keyword match will get it wrong constantly.
What a similarity-based approach actually checks
A more reliable approach looks at the same user, the same company, and the underlying subject matter together, rather than matching on ticket titles alone. That combination catches the cases that actually matter, the same person reporting the same issue through two channels, without over-flagging every ticket that happens to share a word.
Edge cases are unavoidable, and that’s fine
No deduplication system is perfect, and MSPs evaluating this shouldn’t expect one. A dispatcher reviewing a duplicate flag from a well-designed system, one that’s clearly checking user, company, and subject together rather than guessing off a title, tends to trust the occasional miss because the logic behind it is sound. The goal isn’t zero errors, it’s catching the obvious cases automatically so a human only needs to review the genuinely ambiguous ones.
Why trust in the logic matters more than perfect accuracy
The MSPs most comfortable handing off duplicate detection aren’t the ones expecting perfection, they’re the ones who understand exactly what the system is checking. That transparency, being able to say “it flagged this because same user, same company, related subject,” is what makes a dispatcher comfortable accepting an occasional miss instead of double-checking every single flag manually, which defeats the point of automating it.
If duplicate tickets are quietly costing your team rework hours, the fix isn’t a perfect algorithm, it’s a system whose logic your dispatch team actually understands and trusts. If you’re wrestling with this, happy to talk through how other MSPs are tackling it. See how MSPs are getting 20-25% time savings per ticket once duplicate handling is automated.