Most advice on reducing support tickets focuses on resolving them faster once they arrive, better routing, quicker replies. All useful, but it treats the ticket as inevitable. A meaningful share of support volume is actually preventable, if something catches the underlying issue before a customer notices it enough to reach out.
A large share of tickets don't originate from something going wrong at the point of contact, they originate from something going wrong earlier that the customer eventually notices. A delayed shipment nobody flagged proactively. A product that's actually out of stock but still shows as available. In each case, the ticket is really a symptom, the customer reaching out is just the moment it became visible to them.
Anna resolves the tickets that do arrive, but a meaningful share of prevention comes from Oscar, watching for underlying issues before they surface as a complaint. His daily stock and sales alerts catch problems like low inventory early, which is often the difference between a quiet fix and a customer-facing ticket. Because Anna and Oscar work from the same store data, a pattern Anna notices in repeated questions can also inform what gets flagged operationally.
Isn't it better to just respond to tickets faster?
Faster response matters, but doesn't reduce how many tickets occur. Prevention reduces volume itself.
What kinds of issues can be caught before they become tickets?
Low stock before a customer orders it, delayed shipments before a customer asks.
Does this replace the need for Anna?
No, prevention reduces some volume, but Anna still handles tickets that do arrive.
How does Oscar know what to flag?
He monitors daily stock levels, sales patterns, and order data.
Will this work for a store with a small catalogue?
Yes, though the impact grows alongside catalogue size and order volume.
Prevention is a quieter kind of support, but it adds up fast once you see it working. Install Yep AI from the Shopify App Store and try it free for 14 days, no credit card required.