The current situation in customer service
It's almost that time again. Warmer days are coming, and with them long barbecue evenings, relaxed bike rides and the urge to cool off. That means peak season for many industries, above all pool, barbecue, bike, motorcycle, garden and outdoor shops.
Especially during peak season, customer service becomes a success factor.
Without AI automation, customer service quickly reaches its limits. Service teams are flooded with the same simple requests over and over, such as password resets or status updates. That eats up time and nerves – and often makes customers wait longer than they'd like. At the same time, these manual processes drive up costs and limit flexibility. Making customer service available around the clock is hardly possible with human staff alone, and it's expensive. Yet this is exactly where the big potential lies, since most online purchases happen in the evening or at the weekend.
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Without some form of automation, customers have no choice but to adapt to your opening hours and then hope a service agent is free. Yet these highly qualified employees often spend their time on routine tasks instead of focusing on truly important or revenue-generating issues. Valuable insights into customers' needs and wishes also often go unused because there's no systematic data analysis. And don't forget: customers now expect immediacy when dealing with companies and switch to competitors faster.
The result: customer service that is inefficient, hard to scale and doesn't really satisfy customers or employees. How does your customer service measure up? Take the test here.
With the following steps, nothing should stand in the way of introducing new AI tools in your company:
Implementing AI tools
Many people imagine integrating AI into a company is more complicated than it is. With a structured approach, you can make sure the technology is used effectively in your company.
1. Analyze your needs and set goals
Identify the recurring and time-consuming tasks in your customer service, such as frequently asked questions (FAQs), handling standard requests or routing to the right departments. Analyze your customer interactions to understand typical patterns and needs. What mood are your customers in when they contact your service? How do they prefer to be addressed? Define clear goals for the implementation, e.g. reducing handling time, improving customer satisfaction or cutting service costs, and decide whether the AI should answer simple requests, support complex tasks or deliver data analysis.
2. Choose the right AI tools
Choose an AI platform that meets your requirements. Tools such as chatbots, AI-powered email automation or analytics tools solve different problems. Since the first step showed you what you need, it's easier to pick the right tools. Pay attention to integration options with your existing systems (e.g. CRM, helpdesk).
3. Create content and training data
Prepare the content for the AI. What should your AI know about your company, and which answers may it give your customers? Think of FAQs, replies and knowledge bases, for example. Use historical data to train the AI. The more relevant data, the better the AI learns.
4. Roll out step by step
It's best to start with a pilot project in a limited area, e.g. a specific channel like live chat or a certain type of request. This lets you test the AI's performance and gather feedback from customers and employees. Then you can expand the AI's scope and relieve your team step by step.
5. Integrate with existing systems
Connect the AI tools you've chosen to your company's existing platforms to ensure seamless request handling. With access to your systems, the AI can answer many questions and handle requests on its own. It can also help your customers solve problems themselves. For example, the AI can help customers update their own data in your system and may even generate additional customer information that helps you in your interactions with them. Also automate the handover of requests to human employees in case the AI can't find a solution. This creates a consistently positive service experience and your customers feel well looked after.
6. Train your service team
Train your service team in working with the AI to ensure effective collaboration between people and machines. Communicate clearly that the AI makes everyday work easier and isn't designed to replace your service agents. The AI is there to help your employees answer requests more efficiently, for example by offering reply suggestions or automatically finding the information they need.
7. Measure and optimize performance
Use the analytics and reports of your AI tools to evaluate your success. You can use KPIs such as customer satisfaction, average handling time or automation rate.
Adjust the AI's settings regularly using new insights from the data, and make sure your AI reflects any changed requirements.
Optimize the AI continuously with new data, and don't forget to train it on new answers so it can help your customers even more effectively in the future. Once your pilot is running successfully, you should scale the AI to more channels or business areas. By now you should have enough practice that expanding the AI is no longer a challenge.
8. Keep the customer experience in mind
Keep interactions with the AI as natural and user-friendly as possible. Always be transparent with your customers about when they're talking to an AI and when to a human. This prevents misunderstandings and has a positive effect on customer satisfaction.
What can AI tools do for your customer service?
So what exactly can AI tools do for your company? Let's look at two examples:
Chatbots
Chatbots are specialized AI systems that play a central role in customer communication and marketing. A chatbot can directly automate frequent customer questions such as order status or general FAQs, and it can also handle appointment booking. These automated requests disappear from your service agents' to-do list immediately, providing fast, targeted relief.
Your customers will quickly notice better service too, because with a chatbot your company is available 24/7. Even if the chatbot can't answer something, it at least gives your customers the feeling that their issue is being handled right away and that they're being taken seriously. That keeps them from switching to a competitor. On top of that, chatbots can reply in a personalized way in different languages, which is a big advantage for internationally operating companies in particular.
Chatbots also help with lead generation by approaching customers proactively and suggesting suitable products or services. And chatbots are scalable: even during the spring peak season, they can handle countless requests at the same time.
AI agents
AI agents are versatile, intelligent systems that go far beyond what chatbots can do. During the spring peak season, orders often spike sharply. AI agents can optimize these processes by automatically checking and validating orders and forwarding them to the right departments or warehouses. Intelligent agents can also prioritize express or bulk orders to avoid bottlenecks. Higher request volumes aren't a problem for an AI agent either. It can forward complex requests directly to the right experts on the team. If a service agent is busy, for example, the AI can detect this and route the request to colleagues with fewer to-dos. This distributes work more evenly.
Your AI agent also keeps an eye on stock levels and makes timely reorder recommendations, so there are always enough products in stock for your customers. AI agents give companies important real-time insights. For travel providers, for example, they could forecast demand for certain destinations or offers so that resources such as staff or transport capacity can be adjusted accordingly. These data-driven decisions help avoid bottlenecks and make better use of opportunities in high season.
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Expert advice at Garten&Freizeit.de with a chatbot
During the spring peak season, demand for garden furniture, barbecues and accessories at Garten&Freizeit.de rises rapidly. No surprise – everyone wants to be perfectly equipped for the warm days. But searching a website for the right products can put customers off. Why not just go to a store and get advice there, instead of waiting until a service agent finally has time?
That's why Raumschmiede (the company behind Garten&Freizeit.de) introduced a chatbot with an extra feature: a product advisor.
Instead of clicking through countless product pages, customers get personalized product recommendations from the chatbot based on their needs and preferences. Whether it's the right size for a new lounge set, matching cushions or the best barbecue for the next garden party – the chatbot helps.
It also answers frequent questions about delivery times, materials and care, taking the load off customer service in high season so the team can focus on more complex issues. That keeps shopping at Garten&Freizeit.de relaxed even in peak season – for customers and the team.
Delight customers in peak season with AI tools
The spring peak season brings a lot of activity for many companies – and often chaos too. This is exactly where AI tools like chatbots and AI agents shine. Chatbots take over simple tasks, answer FAQs and make sure customers get fast help around the clock. AI agents handle the bigger challenges: they optimize orders, monitor stock levels and deliver data-driven insights to avoid bottlenecks.
The best part: as you've read in this article, introducing these tools is easier than many people think. With the right strategy, you can make customer service more efficient and less stressful in no time. If you rely on AI in high season, you not only save time and money but also keep your customers happy – and your team more relaxed.
