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How technology can alleviate customer service chaos
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Download the eBookCustomer service is the heart of any eCommerce business. Or it should be. Unfortunately, it’s also where chaos thrives.
One minute, everything’s ticking along nicely. The next, your support inbox looks like it’s been hit by a Black Friday-level crisis, your chatbots are waving the white flag, and your human agents are barely keeping their heads above water.
Customer expectations have skyrocketed. They want instant answers, 24/7 support, and, most importantly, to never have to repeat themselves. Meanwhile, businesses are dealing with ever-increasing query volumes, tighter budgets, and the occasional AI hallucination that tells customers they’ve won a free yacht. We don’t even sell yachts, we hear you cry! Exactly.
So, how do you scale customer service without descending into complete chaos? Enter AI and automation - the best thing to happen to eCommerce customer service since the invention of the FAQ page that nobody actually reads.
This article explores how technology can cut response times, eliminate human errors, and handle growing customer demands, all while making sure your agents aren’t drowning in a sea of support tickets.
The customer service crisis: Why businesses are struggling
If you run an eCommerce brand, you already know the pain:
- Customer service volumes keep growing – More sales mean more queries, and customers expect faster responses than ever.
- Hiring more agents is expensive – Scaling support teams to keep up with demand is costly and inefficient.
- Customers hate waiting – They don’t care that your inbox is overflowing; they want answers now.
- Inconsistent responses frustrate customers – If one agent says yes and another says absolutely not, that’s a problem.
- Bracketing, returns, and refunds add to the madness – Customers love ordering five sizes of the same item and returning four. You love dealing with the fallout.
The result? Unhappy customers, overwhelmed agents, and rising costs.
But technology, done right, can solve many of these problems without turning your customer service into a robotic nightmare.
How AI and automation can cut through the chaos
Faster responses without hiring a small army of agents
Customers don’t just want help; they want help now.
AI-powered chatbots and virtual assistants can handle common queries instantly, reducing the load on human agents. Returns policies, order tracking, and refund requests? Automated responses can deal with those in seconds.
And don’t worry: this isn’t the clunky chatbot experience of a decade ago. Today’s AI tools use natural language processing to understand context, meaning customers don’t have to type like a robot to get a useful answer.
Best of all, AI doesn’t need lunch breaks, doesn’t call in sick, and won’t leave passive-aggressive notes about people not refilling the coffee machine or microwaving fish. Mackerel of all things, Julie? Get a grip.
Smarter self-service: Because customers secretly love solving their own problems
It turns out customers would rather help themselves than wait in a support queue - as long as the information they need is actually easy to find.
That’s where intelligent self-service portals come in. With an AI-powered knowledge base, customers can get instant answers to common questions without needing to speak to an agent.
Even better, these systems learn over time, so if customers keep asking variations of how to return their bracketing disaster of an order, the system adapts, providing better and more relevant answers.
Reducing human error
Ever had an agent accidentally refund the wrong order, cancel the wrong subscription, or type “not” instead of “now” in a critical email? Human errors happen, but AI can eliminate many of them.
Automation tools can ensure consistency across customer interactions by pulling information directly from order systems, CRM platforms, and return management software. This means:
- No more accidental double refunds.
- No more incorrect shipping addresses.
- No more contradictory answers from different agents.
By reducing manual data entry and repetitive tasks, AI lets human agents focus on what they do best; providing real, empathetic support when it’s actually needed.
Handling peak seasons without breaking your team
Every eCommerce business knows the pain of seasonal spikes.
One viral TikTok or a Black Friday sale can send customer queries through the roof. Hiring temporary staff is expensive, training takes time, and by the time they’re fully onboarded, the rush is over.
AI doesn’t need training.
With the right automation in place, businesses can scale support instantly during busy periods. AI chatbots handle FAQs, automated ticketing systems sort inquiries efficiently, and human agents can focus on complex issues rather than drowning in order status requests.


Scaling customer service without scaling costs
Hiring more agents might seem like the obvious solution, but it’s not sustainable. AI and automation allow businesses to scale support without constantly increasing headcount.
How AI reduces costs without sacrificing quality
- Automating routine tasks: AI handles repetitive questions, so agents can focus on higher-value interactions.
- Reducing first-response time: Faster answers mean happier customers and fewer escalations.
- Preventing order mistakes: Fewer errors mean less time spent fixing problems.
- Optimising support staffing: Instead of hiring more agents, businesses can use automation to do more with existing teams.
What about the human touch?
One of the biggest fears around AI in customer service is losing the personal element. But the goal isn’t to replace human support; it’s to enhance it.
With AI handling routine inquiries, human agents can spend more time building relationships, solving complex problems, and adding value where it matters.
Customers don’t want more interactions; they want better ones. AI helps make that happen.
Choice in customer service: Why one size never fits all
If there’s one thing customers love more than free shipping, it’s having options. Nobody wants to be funneled into a single support channel that doesn’t suit their preferences, especially when they’re already annoyed that their order of eight identical hoodies somehow arrived in eight different shades of grey.
The days of phone or email-only support are long gone. Customers now expect a menu of options when it comes to getting help; whether it’s instant messaging, self-service portals, social media DMs, or the classic “please, just let me speak to a human” phone call. The catch? If your customer service mix isn’t up to scratch, those same customers won’t hesitate to take their business elsewhere.
Why choice matters in customer service
A study by Salesupply found that only 45% of UK eCommerce businesses offer live chat, while phone and email remain the most common contact methods. But here’s the thing: customer expectations have shifted. Some shoppers still like to talk things through over the phone, but others would rather send a WhatsApp message while binge-watching a reality TV show.
The reality is, different customer groups want different things:
- Older generations tend to favour phone support and email because they’re familiar and reliable.
- Millennials and Gen Z are not picking up the phone unless their Wi-Fi goes down. They want fast, asynchronous support through chat, social media, and messaging apps.
- Business buyers often prefer self-service options and detailed knowledge bases to solve issues without waiting in a queue.
If you only offer one or two support channels, you’re automatically alienating a huge chunk of your customers. And alienated customers don’t tend to stick around.
Multi-channel vs omnichannel: What’s the difference?
Offering multiple channels is great, but only if they work together. If customers start a conversation on WhatsApp, move to email, and finally call because they’re not getting anywhere, they don’t want to start from scratch each time.
- Multi-channel customer service = You offer lots of ways for customers to contact you, but they’re all separate. Customers get a different experience depending on where they reach out.
- Omnichannel customer service = Every channel works together, so customers get a seamless experience no matter how they contact you.
Nobody wants to explain their issue five times to five different agents just because your systems don’t sync up. That’s a surefire way to create frustration rather than loyalty.
Self-service: The underrated customer service option
Customers don’t actually want to talk to you, at least, not if they can help it. Studies show that most people would rather solve their issue themselves than sit in a support queue. That’s why well-designed self-service portals, FAQs, and AI-powered chatbots can be game-changers.
The problem? Many self-service options are terrible. If your FAQ page is harder to navigate than a tax return, customers won’t stick around. Done right, though, self-service can:
- Reduce support ticket volume by solving common problems upfront.
- Speed up response times by filtering out simple queries.
- Improve customer satisfaction because nobody enjoys waiting in a queue for 30 minutes to ask, “How do I return this?”
AI and automation: A support team’s best friend (or worst enemy?)
On the good side, AI-powered support can handle simple queries in seconds, personalise responses based on customer history, and free up human agents to focus on complex issues. It can also provide real-time language translation, sentiment analysis, and 24/7 support, meaning businesses don’t need a team of agents working through the night.
On the bad side? AI is still learning. It occasionally misunderstands queries, gives inaccurate answers, or cheerfully tells customers their package is in a warehouse that doesn’t exist. The trick is balancing automation with human oversight; letting AI handle the easy stuff while trained agents step in when things get complicated.
Giving customers the power to choose
Customer service is no longer a one-channel, one-solution game. Whether they prefer live chat, phone calls, self-service, or sending a strongly worded Instagram DM at 2am, customers expect brands to meet them where they are; not force them into a system that doesn’t work for them.
The businesses that get this right will win loyalty, reduce churn, and make life easier for their support teams. The ones that don’t? Well, they’ll probably end up with an X thread dedicated to just how bad their customer service is. Eek.
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