If you’re a small business owner, your top priority is providing the best customer service possible. Unfortunately, with more and more customers turning to the internet for their needs, providing personal care that engages both online and offline customers is challenging. That’s where Artificial Intelligence comes in. It can take care of things like routing calls and providing personalized updates without requiring any human involvement.
The good news is that businesses have turned this technology into a highly effective tool. After all, there are already companies out there with AI-driven phone technology. But what if a new business came along that cloud-hosted PBX solution the way a company can interact with its customers?
Introduction:
The customer support space is ripe for disruption with the technology now available. Artificial Intelligence is one of the most compelling technologies businesses can leverage for better customer service.
Utilizing AI in your business phone service provides a host of benefits. It helps free up more human resources to focus on higher-value work; it can handle more complex customer interactions and conversations.
In this blog post, we’ll explore how you can harness the power of AI by implementing an automated phone system, along with other related alternatives that might be a good fit for your company’s needs.
Artificial Intelligence allows computers to manage tasks that usually require human-like Intelligence, such as learning, planning, and problem-solving. AI will enable systems to respond to your customers in real-time based on understanding their needs. It’s similar to having a customer service representative on your website without needing an actual human being.
Happening Wireless is more than just another business using artificial Intelligence to automate their enterprise business phone system. The company has transformed from a simple telecommunications provider to something more exciting. It’s the first phone provider in the world to apply an app-based customer support platform that uses deep learning and machine learning technologies. This technology can provide businesses with enhanced communication channels, streamlined business communication API processes, and higher customer satisfaction rates.
Here are the three main things businesses can expect when they work with this technology:
1. Better Customer Service
Whether a customer chooses to call, email, or text their support agent, they’ll always receive the same personalized service from Happening Wireless. Your customers’ needs are considered at every level of communication, even if they don’t communicate at all! The AI that powers this technology knows what’s happening and can make informed decisions about how to service your customers best. Thanks to deep learning algorithms, it eliminates human bias in how your business provides customer support.
2. Automated Communications
Another way it changes customer service is by automating communications. Since call center agents are no longer needed to route calls, they can spend their time on more valuable tasks — like providing customers with the help they need. This system also eliminates the need for your business to hire specialized agents or use third-party managers, saving time and money. Your customers can even send simple messages if they need to! The technology can route messages based on keywords, making converting those abandoned emails into sales easy.
3. Reduced Costs
With Happening Wireless, you get a fully integrated business phone system with call center artificial intelligence technology. This technology provides your business with several benefits, such as increased customer satisfaction, up-to-date records of all communication interactions, and streamlined management. Your company can essentially cut down on its operational costs.
Here are some of the ways AI is making waves:
Chatbots and Virtual Assistants:
Conventional chatbots and virtual assistants are primarily used for handling simple queries, such as a customer support query about a product or service. However, AI can now integrate other technologies in business phone services to enhance the experience. For example, chatbots can link directly to live video feeds, enabling visual messaging between customers and businesses. Some businesses already use this technology to provide 24/7 assistance from anywhere in the world at any time.
Natural Language Processing (NLP):
NLP is an AI technique that enables chatbots and virtual assistants to understand human language. Chatbots can perform more tasks and converse with users in their native language.
Image and Video Recognition:
AI-powered image and video recognition engines can identify objects in images, such as faces or logos, and display relevant information on demand. For example, a boarding pass scanner can show the name of the airline and flight number of a passenger who scans their ID card.
Natural Language Understanding (NLU):
NLU enables chatbots to respond to queries by understanding context first. It allows chatbots to suggest solutions even when not provided with precise instructions or exact keywords. For example, a chatbot can ask a customer where they are to offer relevant suggestions for the customer’s location.
Phrase Matching:
Phrase matching uses AI techniques to determine the possible meaning of words in sentences. For example, if the keyword “video” is used in text and email, the AI can provide context by suggesting relevant videos when people use the word “video” in that context.
Voice Recognition:
Voice recognition technologies analyze audio data to identify users’ spoken words and phrases and provide contextual information. For example, a customer support chatbot can locate the name of a company mentioned by someone contacting the help desk and provide links to relevant information about that company.
Natural Language Generation (NLG):
NLG uses AI to generate meaningful language humans can read and understand. For example, a chatbot can use NLG technology to develop a personalized message depending on the time of the year or the customer’s gender.
Sales Predictions:
AI has been effectively implemented in sales process management, including sales forecasting, lead scoring, and more. Sales predictions use AI to collect data from sources like competitor information and internal customer data to predict future sales opportunities. It makes recommendations based on these predictions and helps sales teams focus on approaching buyers likely to buy their products. It can also provide feedback on the steps taken during the sales process.
Contact Center Analytics:
Contact center analytics can improve customer satisfaction and loyalty through real-time insight into customer experience. With AI, businesses of all sizes can receive more precise insights about their customers, enabling them to deliver better customer support and generate more revenue from their existing customers. Using machine learning algorithms, contact centers can identify which actions agents take affect customer satisfaction and which don’t. They can then use this data to personalize agent interactions and improve the overall quality of service a business delivers.
Live Chat for Business Phone Service:
Live chat is a valuable feature for businesses that want to provide immediate assistance to customers wherever they are. Live chat uses automated chatbots to respond to customer queries in real-time. For example, a bank can use a live chat feature on its website to answer account and product-related information questions and schedule appointments with bank agents.
Live chat is perfect for small businesses that want to provide immediate assistance to customers wherever they are. It enables them to schedule appointments with sales agents or book an Uber/Lyft ride without picking up the phone. Customers can also use live chat to ask about products or company policies without calling or emailing.
Natural Language Processing and Voice Recognition are widely used in customer service today. However, in the fast-changing world of business phone service, AI-powered technologies can make the experience more personalized. For example, chatbots and virtual assistants can be given access to live video feeds from different cameras to better understand a customer’s context and provide helpful suggestions to improve their experience.
While chatbots and virtual assistants are already making waves in customer service today, business communication API is poised to take them to new heights. For example, chatbots integrate with video recognition engines that recognize objects in images or videos and display information accordingly.
Conclusion:
Artificial Intelligence can be utilized in cost-effective ways and benefit a company’s bottom line. Small business phone service providers can spend less on labor and more on technology to give customers a better customer experience. With the increasing demand for chatbots and virtual assistants, businesses of all sizes are finding ways to exploit the power of AI. It also improves existing practices in small business phone service, but it’s also enabling small businesses to operate 24/7 with minimal costs.