It was Bill Gates who said, “Every day we’re saying, ‘How can we keep this customer happy? How can we get ahead in innovation by doing this?… because if we don’t, somebody else will.”
Truer words have never been spoken.
But providing excellent customer service consistently is easier said than done. The realities are often quite different – long waits, generic responses, and wasted time. Even the best companies struggle to deliver online customer services.
Well, not anymore.
With Generative AI, you can streamline your customer service and offer personalized solutions based on history. According to BCG, generative AI has the potential to increase global productivity in customer service by 30% to 50% or more. And 95% of customer service leaders surveyed believe that within the next three years, AI bots will be serving their customers.
The AI customer service market, valued at $308 million in 2022, is on track to become a $3 billion market by 2032.
What are the Common Customer Service Challenges?
Customer service is important for retaining and satisfying customers. However many companies have difficulties that can impede their ability to provide excellent support. Knowing these obstacles is key to overcoming them.
Below are some common hurdles faced:
Processing High Volume of Queries: Dealing with an influx of customer inquiries across various platforms may leave teams drowning in work.
Language Barriers: Misunderstandings arise when representatives speak different languages from callers leading to dissatisfaction.
Meeting Customer Expectations: Today’s clients demand speedy, effective services tailored around their needs failing which frustrations build up on both sides.
Working With Angry or Upset Customers: Conversing with already frustrated/angry clients takes tactfulness, patience, empathy etcetera thus this being an issue area for many firms’ agents.
Lack of Channel Integration: It annoys customers by having to repeat issues due to disjointedness in a company’s communication channels.
Burnout Among Customer Service Reps: Doing the same things over and over coupled with high-pressure situations leads to burnout thereby affecting quality service delivery.
These challenges if addressed can revolutionize customer services hence higher satisfaction and loyalty. Some of the solutions are as follows:
Sentiment Analysis and De-escalation: Gen AI can analyze customer communication, identifying frustration or anger in real-time. It can then suggest de-escalation tactics for the rep or even handle pre-defined initial interactions to calm the customer before handing over to a human agent.
Using Translation Tools and Bilingual Staff: To overcome language barriers, you can use generative AI tools like Transifex, DeepL, Microsoft Translator, and KantanAI. They come equipped with the ability to translate into hundreds of different languages.
Adopt Generative AI for Deeper Insights: Businesses now apply generative AI like those provided by Glimpse to know more about their clients. This includes summarizing open-ended survey responses to extract action points to make processes faster and establish stronger relationships with customers.
Improving Chatbots with AI: Gen AI can act as a smart assistant for reps, suggesting relevant knowledge base articles, and product information, or even crafting personalized responses based on the customer’s query. This reduces research time allowing humans to deal with complex problems as they arise.
Using Generative AI for Round-the-clock Support: The generative AI industry valued well over $12 billion enables organizations to provide 24/7 real-time support. These technologies automate ticket routing & resolution among other tasks thus significantly reducing time spent fixing problems while ensuring that assistance is always available for consumers.
Implementing these solutions can lessen the challenges faced in customer service, thereby increasing satisfaction levels and cultivating customer loyalty.
Wondering how Generative AI can transform your customer service?
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Improve your Customer Services with Analytics Vidhya
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