At Olarep, we spend most of our time inside other companies’ support queues, so we notice something most people miss: a huge chunk of support tickets aren’t really “problems.” They’re lookups.
A customer wants to know what year their product is. What model they have. What part fits. If there’s no fast way to self-serve that answer, it becomes a ticket, a wait time, and a cost, for something that should take ten seconds.
A small example that gets this right
We came across a good one recently in a niche most support teams never think about: golf carts.
Golf cart owners constantly need to know their cart’s year, model, and manufacturer, usually because they’re ordering parts or trying to figure out what fits. Normally that means digging through old manuals or guessing.
GolfCartLab’s Serial Number Decoder solves that directly: you enter the serial number, and it decodes the year and model in seconds. No account, no waiting on a rep, no back-and-forth.
It’s a small tool, but it’s a clean example of the principle we care about: if a customer can answer their own question in seconds, that’s a support interaction you never had to staff.
It’s the same logic behind smart AI chatbots
This is really the same reason well-built AI chatbots have caught on across so many sites. A good chatbot isn’t there to replace a human conversation, it’s there to catch the repetitive, answerable-in-seconds questions before they ever become a ticket: order status, return policy, “does this fit,” “what’s included.” When it’s tuned well, it quietly absorbs the high-volume, low-complexity stuff and leaves your actual support team free for the cases that need a person.
The tools look different (a decoder, a chatbot, a searchable FAQ) but the underlying math is identical: every question a customer can answer themselves is a question your team didn’t have to staff for.
The bigger point for support teams
Every industry has its version of “what year/model/spec is this.” The businesses that build (or point customers to) a good self-service tool for that question see fewer repetitive tickets and happier customers, because nobody likes waiting on a support queue for information they should be able to look up themselves.
That’s the lens we bring when we design support workflows for our clients at Olarep: before adding more agents, ask what percentage of your ticket volume is actually a lookup that a tool could kill outright.
If you’re evaluating your own support queue and want a second set of eyes on where the repetitive volume is coming from, that’s exactly the kind of audit we do.
