Avec l’essor de la technologie de l’IA, le service client s'est transformé à un rythme exceptionnel. Aujourd'hui, L'IA peut automatiser les tâches banales du service client, offrir des expériences personnalisées, et fournir plus rapidement, des réponses plus précises.
Toute entreprise devrait donner la priorité service client exceptionnel, des petits commerces de proximité aux grandes sociétés multinationales. Les propriétaires d'entreprise doivent rester à jour avec des outils utiles, comme l'IA, pour fournir un excellent service client.
But is it possible for AI-powered services to replace your Customer Care team?
Dans ce blog, we’ll look at what AI can and can’t do, how it changes customer service, and what you can do to keep up.
What Does AI Mean?
Before we jump into the trends of using AI in customer service, let’s break down what AI means.
When we mention AI, aka artificial intelligence, we usually refer to machine learning. These software algorithms can learn and improve their ability to perform tasks as they complete assignments and process data.
You use tools powered by AI every day, even though you might not realize it. Par exemple, les moteurs de recherche, places de marché en ligne, and movie streaming services all use machine learning to improve their customers’ experiences.
AI can collect customer data and create powerful insights, offrir des expériences personnalisées, and improve productivity. That’s why using AI is so beneficial for businesses. AI also:
- Gain de temps. By automating simple, repetitive tasks (par exemple, answering questions like “What’s my tracking number?”), customer support personnel can spend more time on complex issues.
- Helps retain customers. AI enables faster resolution times which improves overall customer experience. Cette, à son tour, is crucial to encourage customers to order from you again.
![](https://don16obqbay2c.cloudfront.net/wp-content/uploads/ai_for_customer_service-transformed-1687531600-1024x660.png)
What customer service professionals think about AI based on the survey by Dialpad
An excellent customer experience helps attract new customers, trop: 59% of consumers say they would recommend a brand to a friend because of its customer service.
Now that we understand what AI means in customer assistance, let’s look at some of the most popular trends.
Streamline the Shopping Experience with Self-Service Solutions
Le plus souvent, shoppers contact customer service with simple questions. Most people want to know about shipping updates or return policies. These questions don’t necessarily need to be handled by a human—self-service solutions like chatbots on websites can handle basic queries.
Chatbots are computer programs designed to simulate conversation. AI chatbots can help customers track orders and get answers to basic questions right away. They can also help people find what they want in an online store.
Using chatbots saves time both for customer service agents and customers. De plus, 60% of customers prefer to resolve issues without talking to a service agent when shopping online.
Chatbots are mostly helpful when:
- A customer needs an answer to simple questions as quickly as possible;
- A customer doesn’t want to talk to a real person.
Although chatbots can direct shoppers with complex questions to the appropriate customer service channels, businesses should not exclusively rely on chatbots for customer service. To ensure good customer service, provide both automated and human-based solutions. The latter should be easily accessible to customers—no one likes to jump through hoops to reach a human representative.
Provide Personalized Interaction and Recommendations
Personalization in customer service means providing product recommendations and tailored offers based on a customer’s preferences.
Selon Zendesk’s consumer trend report, while personalization is in demand, many brands underestimate its importance. En fait:
- 76% des clients expect personalization from brands;
- 62% of consumers think companies could be better at personalization.
That’s where AI-powered technologies come in. AI-driven chatbots or virtual agents can analyze customers’ past purchases, intérêts, démographie, and behavior to deliver tailored recommendations in real time.
Par exemple, Amazon’s recommendation system is AI-based. It analyzes customers’ achat histoire, search records, and behavioral data to predict and suggest products they might be interested in. Their personalized approach has significantly boosted customer engagement and sales for Amazon.
Improve Speed of Customer Service Tasks
AI can help businesses analyze the nature of customer requests before assigning them to a customer service agent. AI tools can analyze the customer’s problem, urgence, et émotions. Then they automatically sort customer requests and assign them to the appropriate agent.
Par exemple, vous pouvez automatiquement affecter vos agents les plus expérimentés au traitement des cas complexes et laisser vos nouveaux représentants traiter des tickets plus simples.
![](https://don16obqbay2c.cloudfront.net/wp-content/uploads/ai-in-customer-service-sentiment-identification-1687531595-1024x425.png)
De nombreux outils, comme les plateformes publicitaires, identifier automatiquement le sentiment d'un commentaire
En outre, il peut être utile d'avoir des représentants qui sont seuls responsables des demandes urgentes et urgentes. Résoudre rapidement les demandes défavorables est crucial pour fidéliser les clients. 42% des consommateurs déclarent qu’ils arrêteraient d’acheter auprès d’une marque après deux expériences de service négatives.
Traitez les commentaires des clients plus efficacement
Le traitement du langage naturel est un élément central du service client basé sur l'IA. Les interactions clients sont collectées, analysé, et classé à l'aide d'algorithmes et d'apprentissage automatique. Les entreprises peuvent utiliser l'IA pour comprendre ce que disent les clients sur les produits, comment ils réagissent, et ce dont ils ont besoin. De tels outils peuvent aider à traiter les commentaires des clients.
La rédaction d’IA peut être particulièrement utile. Cela peut accélérer le processus de réponse aux avis. Par exemple, Jasper utilise un outil Review Responder qui analyse les clients’ feedback et génère des réponses en fonction de son contenu.
![](https://don16obqbay2c.cloudfront.net/wp-content/uploads/ai-fo-customer-service-jasper-1687531590-1024x659.png)
Un exemple de réponse aux retours négatifs générés avec l'IA
Répondre rapidement aux commentaires, retours particulièrement négatifs, est essentiel pour garder les clients satisfaits. Aujourd'hui, les consommateurs partagent souvent des plaintes ou posent des questions sur les réseaux sociaux, obliger les marques à réagir plus vite que jamais. Selon Statista, 28% des consommateurs mondiaux s'attendent à recevoir une réponse dans une heure, alors que 37% je veux une réponse dans la journée même.
![](https://don16obqbay2c.cloudfront.net/wp-content/uploads/statistic_id808477_expected-response-time-for-social-media-1687531603.png)
Résultats de l'enquête « Quel est votre délai de réponse prévu pour les questions ou plaintes sur les réseaux sociaux ??” (Source: Statista)
What You Can Do to Keep Up with Customer Service Trends
Using AI to augment customer service provides benefits to businesses and their customers. En tant que tel, companies that leverage AI in customer service are more likely to stay competitive.
While larger companies may invest more in AI-powered product recommendation systems, small businesses should keep up with the trends. Conveniently, business owners can stay up-to-date without breaking the bank.
Here are some quick ways to stay relevant and provide stellar customer service, even with a small team of reps:
- Use chatbots to handle commonly asked questions about products, les remboursements, expédition, and other topics. Si vous exécutez un magasin Ecwid, you can choose from several customer support chatbots, comme Tidio, Chaport, La plaque, et plus.
- Analyze customer data to provide personalized recommendations tailored to individual shoppers. Par exemple, vous pouvez utiliser Marsello to create loyalty, SMS, and email campaigns based on customers’ shopping behavior.
- Use customer communication platforms to understand your customers’ purchase behavior and personalize communication. You can integrate your Ecwid store with various plates-formes.
- Be open to trying out new tools to help improve your customer service. Par exemple, test a tool developed to reduce wait time or automate repetitive tasks.
- Monitor customer reviews and feedback. Identify areas that need improvement. Il y a plusieurs façons de collect and moderate reviews pour votre magasin Ecwid.
- Set up an effective customer support system. Use Ecwid’s built-in Facebook live chat or integrate a third-party platform like Zendesk.
Businesses of all sizes should use AI-powered tools to provide better customer service. AI helps businesses stay competitive by optimizing mundane tasks, entre autres avantages.
For more tips on how to use AI for your business, check out the following article:
Emballer
AI technology gives customers the convenience and speed they desire in customer service. As business owners, we must start using these to our advantage. Effective customer service is essential for businesses to keep their customers happy. AI can provide that quickly and on a massive scale.
We recommend taking small steps toward integrating AI into your store, comme:
- Exploring self-service solutions that best fit your customers’ besoins;
- Providing personalized experiences to shoppers;
- Investing in tools to increase the speed of customer service tasks.
Change can seem daunting, but there’s no time like the present! Take charge of your business’s success by using AI. Check out what tools are available and find one that works for you.