How to Reduce Ecommerce Support Tickets

Why support volume grows faster than headcount

As an ecommerce brand grows, order volume grows, and so does the number of "where is my order" and "I want a refund" emails. Hiring proportionally to match that growth isn't sustainable for most brands.

1. Reduce tickets before they're written

A meaningful share of order-status tickets can be prevented with clear, proactive shipping and delay communication, customers who already know their order is delayed are less likely to email asking.

2. Make policy information easy to find

Clear, visible return and refund policy pages reduce the volume of "can I return this" questions that would otherwise become tickets requiring a reply.

3. Automate what remains with AI, not a script

For the tickets that do arrive, an AI agent that checks live order data can resolve routine requests, order status, refund eligibility, cancellations, without a human touching them, while staging anything financial for approval.

• Order status and tracking questions resolved automatically
• Refund eligibility checked against your policy before a human reviews it
• Cancellations verified against fulfillment status
• Only genuinely uncertain or sensitive requests reach a person

Track resolution rate, not just ticket count

The useful metric isn't how many tickets come in, it's what percentage get resolved without a human. That number tells you whether your reduction efforts (proactive comms, self-serve policy pages, AI resolution) are actually working.

"Where is my refund?" is its own ticket type

Refund requests actually split into two different questions. The first is "can I get a refund", a policy decision that depends on your return window and the specifics of the order. The second is "where is my refund", a status question from someone whose refund is already approved or in progress. That second question is pure repetition: the customer isn't asking you to decide anything, they just want to know where things stand.

A status question like that can be answered automatically the same way an order-tracking question can, by checking the refund's current state in Shopify and replying with what's actually true. What shouldn't be automatic is the decision behind it, whether to approve the refund, for how much, under which policy exception. That part stays with a person.

tResolv keeps those two things separate on purpose: it can tell a customer exactly where their refund stands the moment they ask, while the refund itself still waits in your approval queue until you tap approve.

What you shouldn't try to reduce

Don't optimize away genuine escalations, angry customers, disputed charges, and edge cases still need a human, and a good system routes them there instead of suppressing them.