E-commerce
June 28, 2026
Not all support tickets require the same response time. A simple product question can wait longer than a double charge, a hacked account, or an address to correct before shipping.
An e-commerce support SLA must define priorities based on risk, urgency, channel, and customer impact. It must also explain to the customer when a human response is expected.
This guide shows how to define useful, realistic, and understandable response times.
Summary
Why a single SLA is not enough?
Promising the same turnaround time for all requests creates two problems: emergencies can wait too long, and simple requests might receive a promise that is impossible to keep during peak volumes.
The SLA must take into account the reason and the customer impact.
A good SLA doesn't just respond quickly; it responds to the right cases first.
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Which motives should be prioritized?
Priority motives are payment, fraud, hacked account, address before shipping, exceeded premium delivery, dangerous product, personal data, and highly dissatisfied customer.
Simple tracking requests, invoices, or general questions may have a longer delay if self-service already answers them.
How do you set the deadlines?
Deadlines must be realistic according to hours, business days, channels, team size, seasonality, and complexity. An unsustainable deadline creates follow-ups and frustration.
The chatbot can explain the difference between an immediate automated response and a human handover.
How to communicate to the client?
The customer must know that their request has been received, which channel will be used, what delay is to be expected, and what information has already been transmitted.
Clear visibility reduces follow-ups, especially outside of business hours or during volume peaks.
The SLA must also be visible in automatic confirmations and in the help center. If the customer only discovers the resolution time after several follow-ups, the promise no longer serves its purpose.
Good communication of the expected timeframe transforms a vague wait into an understandable expectation.
How do I adjust the SLAs?
SLAs must be reviewed after seasonal peaks, new countries, new carriers, campaigns, incidents, or team changes. Actual lead times must be compared to promises.
If an SLA is constantly exceeded, the promise must be changed or the process must be reinforced.
The customer must always see the most realistic promise, not the most attractive one.
Which flow to follow?
The flow must prioritize based on impact.
Classify requests by motive, risk, urgency, customer impact, channel, and complexity.
Define a first response time and a target resolution time per category.
Indicate priority cases: payment, security, imminent shipping, privacy, and danger.
Inform the customer of the timeframe, the resumption channel, and the information transmitted.
Measure met SLAs, follow-ups, satisfaction, escalations, and actual times kept.
Which examples should be used?
A double charge must be prioritized faster than a billing question. An address to be modified before shipping must take precedence over a non-urgent product advice request.
A privacy request must follow a dedicated procedure, even if it is not emotionally urgent.
When to transfer?
Escalation is necessary if the SLA is at risk of being exceeded on a sensitive issue, if the customer follows up multiple times, if an emergency arises, or if the bot cannot resolve the issue.
The bot must transmit the reason, promised lead time, time elapsed, urgency, context, and customer expectations.
Which KPIs should be monitored?
Track first response, resolution, SLAs met, follow-ups, backlog, satisfaction, escalations, after-hours tickets and reasons that often exceed limits.
This data allows for adjusting priorities and resources.
Which mistakes should be avoided?
Avoid promising a single deadline, hiding business days, ignoring emergencies, or only measuring the first response without looking at the resolution.
The SLA should manage expectations, not just display them.
How can Qstomy help?
Qstomy can connect the chatbot to difficult cases, escalation matrixes, response templates, security rules, SLAs, orders, payments, and support procedures to answer clearly, then transfer sensitive cases with an actionable summary.
The chatbot helps the customer move forward without inventing a sensitive decision, a guaranteed response time, a refund validation, a proof of safety, or an escalation that still needs to be confirmed by a reliable source.
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Key takeaways
Key Takeaways
Support SLAs must vary according to reason, risk, urgency, channel, business days, and complexity.
What the customer needs to understand
The customer must know when their request will be taken up and why certain cases are prioritized.
The right boundary for the chatbot
The chatbot can respond immediately and qualify, but it must transfer emergencies, overdue deadlines, and sensitive topics.
Enzo
June 28, 2026
