The 2025 summer sales are approaching.
And like every year, they'll bring high traffic, logistical strain… and demanding customers.
But what many online retailers underestimate is the direct impact of their customer support on sales performance.
Slow responses, an overloaded chat, an outdated FAQ: during activity spikes, these gaps become costly.
And it's precisely during this period that your brand image and your financial results are on the line.
Testing your customer support ahead of time — and optimizing it with AI — is no longer a luxury.
It's a strategic necessity.
1. Why sales periods put your customer service to the test
A request volume multiplied by 3 (or more)
According to a Shopify study, support tickets can triple during sales periods.
Customers want to know:
- When their package will arrive
- Whether they can use a promo code
- Whether their return will be accepted despite the sales period
And often, answers need to arrive in under 2 minutes, or the sale is lost.
Organizational stress for your teams
Even with a strong team, absorbing such a spike in workload isn't without consequences:
- Overloaded traditional channels (email, chat, phone)
- Fatigue and human error
- Customers who leave without an answer (and don't come back)
This is where AI can play a decisive role, by automating part of the flow and relieving your agents.
2. What AI can do for your customer support before the sales
2.1 Automatically handle frequently asked questions
AI lets you respond instantly to recurring requests:
- "When will I receive my order?"
- "How do I use my promo code?"
- "Can I change my delivery address?"
These cases often make up 60% to 70% of total ticket volume.
By automating them, you gain:
- Time
- Responsiveness
- And above all: availability to handle complex cases
2.2 Detect warning signs ahead of time
A good AI assistant doesn't just answer questions.
It analyzes incoming requests to detect:
- Product anomalies (the same complaints coming up repeatedly)
- Delivery issues with a given carrier
- Urgent requests that are poorly prioritized
This lets your teams proactively fix the most critical issues, without waiting for a major incident.
2.3 Intelligently route the flow of requests
AI can also direct the customer to the right channel, based on:
- The complexity of the request,
- Its priority level,
- Or their purchase history.
This way, you no longer overload your teams with simple requests…
And your VIP customers get faster, more personalized treatment.
3. Why you need to act now (and not in June)
Sales periods leave no room for error
Traffic spikes are sudden.
And there's almost no time to react.
Waiting until the last minute to test a chatbot, train your team, or review your response scripts is a real risk:
- Poor technical integration
- No training for edge cases
- Results that can't be measured, because it's too late
AI needs training
An AI-based assistant works well when it's fed the right data:
- Your ticket history
- Your knowledge base
- Your business rules
This requires a minimum of preparation.
The earlier you start, the more effective your AI will be during the sales.
You can run a real-world stress test
In May, you still have:
- Visitors
- Orders
- Support requests
It's the ideal time to simulate a spike, test your organization, validate your workflows, and optimize your customer management pipeline.
4. How to get started simply, starting today
Step 1 – Identify your friction points
Take 30 minutes to analyze your last rush periods:
- Which questions came up most often?
- Where did your team get stuck?
- What actions would you have liked to automate?
This is enough of a foundation to build a first automation plan.
Step 2 – Launch an AI assistant with a narrow scope
Don't try to cover everything.
Target a single high-volume use case:
- → E.g.: delivery tracking
- → E.g.: promo code questions
- → E.g.: stock availability answers
This lets you test quickly… and iterate.
Step 3 – Measure results every week
Set up simple tracking:
- Number of tickets automated
- Average response time
- Post-interaction satisfaction rate
It's the only way to adjust your strategy before the big rush.
Sales periods are won through rigor, not last-minute scrambling
Good customer support doesn't happen by accident.
Even less so when it means responding to hundreds of customers… in a matter of seconds.
The best-performing online retailers don't wait until June to get equipped.
They test, optimize, and automate weeks in advance.
And when the spike hits, they know everything will work.
AI doesn't replace humans.
But it lets you avoid wasting your energy on repetitive tasks while sales are accelerating.
In 2025, the sales period won't forgive slowness.
But it will reward those who planned ahead.
Discover right now how Moustache AI can simplify building your chatbots.