Why are many businesses turning to AI for customer support?

The adoption of AI in customer service is gaining significant popularity across many industries, with the highest adoption rate in the banking, financial services, and insurance (BFSI) sector at 80%, followed by tourism, transportation, and services, as well as retail and consumer goods (CPG) at 79%. (Source: https://whatsthebigdata.com/ai-in-customer-service-statistics/)
At the same time, the cost of hiring a team is steadily increasing. Expanding teams to provide 24/7 customer support is not easy, so many companies are starting to look for tools that can speed up work, reduce repetitive tasks, and support more customers without increasing costs. As a result, many businesses are beginning to turn to AI for customer support instead.
Example: Big Companies Using AI for customer service
These are some examples of big corporations that have really started using AI in customer service. This shows that employing AI in customer service is a key strategy for big companies.
- Amazon: Uses chatbots and AI to answer customer questions. The AI system quickly looks at the query, sorts it into a category (like refunds, package tracking, or payments), and then gives the right answer to customers. As a result, they can help hundreds of millions of clients around the world without recruiting more customer support.
- Bank of America: The bank launched a digital assistant called “Erica” that uses AI to help consumers check their accounts, analyze their spending, and answer transactional inquiries. This example shows that AI in customer service can do more than just answer basic questions. It can also connect with useful data and make experiences unique to each customer.
- Sephora: Uses an AI chatbot on its chat platform to suggest products, answer questions about stock, and give out information about promotion. The solution not only makes the customer service team’s job easier, but it also helps boost sales by suggesting products that meet customer needs in real time.
- Grab: Uses AI to sort and handle cases. AI looks at and filters concerns from both passengers and driving partners. The technology puts them in order of importance and sends them to the right teams without having to hire more customer support agents.
- Lazada and Shopee: E-commerce marketplaces like Lazada and Shopee also use AI chatbots to help support and answer basic customer questions, such as order status, returns, order cancellations, and payment processes. This clearly reflects that using AI is not an option, but a “infrastructure” that enables businesses to grow.
6 Key Reasons Why Many Businesses Are Turning to AI for Customer Support
1. Delivering on customer expectations
In a time when customers focus their choices on “experience” instead of pricing, many businesses are choosing to adopt AI since it can speed up and make customer service more consistent. A report from Salesforce found that 88% of customers indicated that good service increases the possibility of repeat purchases, showing that experience influences not only the first purchase but also future purchases.
On the other hand, if a business can offer quick, reliable service that understands the customer’s situation well, whether it’s through chat, social media, or email, these good experiences will set them apart from their competition in a way that is hard to copy. So, right now, focusing on customer support isn’t only about fixing problems; it’s also about making sure that the company and the customer have a good “relationship experience” at every step. This clearly shows that AI isn’t a choice but it’s an “infrastructure” that helps offer experiences and handle problems from the start.
2. Control costs in uncertain economic
Rising labor costs and expenses year after year are driving many companies to find ways to increase efficiency without increasing fixed costs. A Big Data report indicates that AI and automation can help reduce customer service costs by approximately 30%, especially for repetitive tasks such as order status, returns, or payments.
In an uncertain economic environment with rising inflation, wages, and purchasing power, managing fixed costs becomes a major challenge for businesses. If revenue slows down but costs continue to increase, profit margins will immediately decrease. In the long run, businesses that invest in systems or adopt AI and automation may have a higher competitive advantage because they can maintain profit levels, reinvest, and adapt to changing economic conditions more quickly.
3. Understanding customers through chat insight
Customer support is another excellent source of information about customer problems, needs, and behavior. Using AI to analyze this data can uncover insights that were previously unseen. This is another reason why many businesses are turning to AI for data analysis.
Every customer complaint, recurring question, or feedback also “customer pain points” and “expectations.” AI can help categorize questions, analyze trends, and detect frequently occurring issues in real-time, giving businesses a clearer overall picture than reading each chat message individually.
Furthermore, AI can perform sentiment analysis to analyze customer emotions whether they are satisfied, dissatisfied, or likely to cancel the order. All this information is importance for product development, service improvement, and targeted marketing campaigns. Ultimately, insights gained from customer service data don’t just solve immediate problems but can create a long-term competitive advantage because businesses that understand their customers deeper tend to grow further.
4. Reduce customer churn rate
Customers who already have problems expect them to be fixed faster than ever. More than half of service leaders say that customers expect problems to be fixed in three hours or less. Customers may be unhappy with slow resolution, which makes them more likely to switch companies. Because of this, quick action is necessary to lower churn.
Data from HubSpot indicates that over 90% of customers consider immediate or rapid responses a key factor in a positive experience. A Salesforce report shows that many customers will switch to another brand if they have a poor service experience. When issues are resolved quickly, customers feel that the brand cares and values them. This feeling directly impacts loyalty and long-term customer lifetime value.
Using AI to answer questions, sort cases, and give real-time progress updates not only reduce workload of the team, but it’s also a smart way to keep customers, cut down on customer turnover, and make more stable long-term revenue.
5. Provide customer service 24 hours a day
In the past, big businesses had more resources, which let them run call centers 24 hours a day, seven days a week, and buy expensive CRM systems. Small and medium-sized businesses, on the other hand, typically had to work with restricted budgets and people.
But AI is now closing this gap. Small business owners may use AI chatbots to provide 24/7 customer support, answer simple queries, handle orders, and give progress updates without hiring a big workforce. Because of this, small and medium-sized businesses may provide an experience that is just as fast, reliable, and professional as that of larger companies, but at a cheaper cost. AI also lets small and medium-sized businesses get to know their customers better, evaluate their behavior, and make changes to their plans. This gives small and medium-sized businesses (SMEs) a big chance to grow and compete with bigger businesses in the same market.
6. Maintain consistent service across channels
In this era where customers can contact brands through multiple channels, including social media chat, websites, email, and marketplaces, consistency of information and service quality have become crucial. If customers receive inconsistent answers across different channels or have vastly different experiences, brand credibility will immediately decline.
AI effectively helps create a consistent standard across all touchpoints. This includes using chatbots that rely on a single database, automated question answering systems that update the latest promotions simultaneously across all channels, or CRM systems that centralize customer history.
Key takeaways:
Many businesses are turning to AI for customer support because it addresses issues of speed, cost, workload capacity, data analysis, and consistent service standards. In a world where everyone compares options online instantly, the speed of customer service is a crucial factor in the purchasing decision. This helps increase conversion rates and fosters a positive long-term brand experience.
Customer experience is just as important as product quality. Therefore, having an AI-powered service system is not just an option, but a key component of business strategy adjustments. If used appropriately, even SMEs or solopreneurs can create efficient service systems and compete in the market.
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