How to Reduce Repetitive Support Tickets in an Online Store
If you look at an online store’s ticket history, it’s likely that most of them fall into five or six categories that recur every day. It’s worth measuring this first.
Before trying to reduce the volume of support tickets, it’s worth understanding where they come from—because, in a typical online store, most of them center on a small number of recurring issues: order status, product availability, return policy, and delivery times. Addressing these issues individually, ticket by ticket, overlooks the obvious pattern behind them.
The first step: measure before automating
Without knowing which questions are actually the most frequently asked, it’s easy to automate what seems important rather than what actually takes the most time. It’s worth reviewing—even informally—the most recent tickets received and grouping them by topic before deciding where to invest your automation efforts.
Automate by category, not all at once
Order Status
This is typically the largest category. Automatic notifications at each stage—payment, shipping, delivery—resolve most of these questions before they even arise. See the complete guide on how to enviar notificações de encomenda por WhatsApp.
Product Availability
By linking agente de IA to the store's actual inventory, questions about stock are now answered automatically, with information verified in real time.
Return and Shipping Policies
A simple knowledge base, built from a document or the website itself, allows agents to accurately answer questions about deadlines and conditions without having to rely on someone repeating the same explanation every day.
What the team continues to receive
Complaints, specific non-standard situations, and any requests that require a decision—such as an exception to the return policy—continue to be handled by a person. The goal is not to eliminate human support, but to eliminate the repetition that doesn't require it.
Measuring the results
Review the categories periodically
Frequently asked questions change over time—a new promotion raises new questions, and a change in the return policy requires updating the knowledge base. It’s worth periodically reviewing which questions are still reaching the team despite automation, and adjusting the agent’s knowledge base accordingly.
Communicating Automation with Transparency
Letting customers know that they are speaking with an automated agent—without trying to hide it—maintains trust; most customers don't mind speaking with an automated system, as long as the response is helpful and prompt.
After setting up the automation, it’s worth comparing the volume of tickets your team receives before and after—using actual numbers from your own store, not a generic promise of a “reduction.” You can criar uma conta gratuita and start testing at no cost.
Frequently asked questions
Where should I start before automating support?
To get a sense of the situation. It’s worth reviewing the most recent tickets you’ve received and grouping them by topic before deciding where to focus your automation efforts—otherwise, it’s easy to automate what seems important rather than what actually takes the most time.
Which categories usually have the highest volume?
Order status, product availability, return policy, and delivery times account for most of the inquiries at a typical online store.
Does automation completely eliminate the need for human support?
No, and that's not the goal. Complaints, non-standard situations, and any requests that require a decision will still be directed to a person—the goal is to eliminate repetitive tasks that don't require human intervention.
How do I know if the automation is actually working?
Comparing the volume of tickets received by the team before and after automation, using actual figures from the store itself—not a generic promise of a reduction.
Should I hide from the customer that they're talking to an automated agent?
It's not recommended. Being transparent with customers builds trust—most don't mind talking to an automated system, as long as the response is helpful and prompt.