Chatbots reliability and consistency in serving customers have changed the way the world created the customer experience. A company that regularly communicates with customers can experiment and improve using AI-based chatbots. Digital transformation can favor the customer service and experience. The world is moving fast and so are the technological advancements. If you intend to draw benefits from implementing the latest technology, there is no reason for further delay.
Why Customer Experience Is Important For Every Business?
Customer experience is a trophy that companies receive for something they do with pride. Companies focusing on improved customer experience know the worth of single positive feedback, share, comment and rebound effect it creates. New customer acquisition and maintenance of existing customers are crucial for market sustainability. Returning customers are solid proof of the experience you created for them.
Customer loyalty is not achievable with marketing tactics it is a long-term investment in the customer relationship. The customers, who have a guarantee towards service or product, trust the companies. The companies in return continue to provide flawless service. Customer experience is a key feature in brand building. Attracting new customers is challenging and bringing back a lost customer is even tougher.
Customer satisfaction has a direct impact on revenues and the company’s reputation. Thus, customer experience is of ultimate importance to every business.
How Has Customer Experience Changed Over The Years?
The customer experience has changed with the availability of internet and loads of information that influences the decisions. The power of researching about the product, services, and the competitor’s brands raises the overall expectations. The features, the price, functionality, use of advanced technology, and response from the company all such expectations have changed with the market. The launch of latest technology based affordable solutions is changing their demand.
Customer support is no more just issue resolution team; the general queries related to product, price, and availability are part of customer service. The location constraint; faced by customer care is removed by chatbots and it eases the process. It has changed the way the pre and post-sales interactions take place. Customer experience should be enjoyable, useful, and reliable. B2C businesses have a great opportunity to create a better customer experience.
What Are Chatbots?
Chatbots are AI-based conversational robots designed for the specific needs of the company and its services. The software executes automated tasks like communicating with users without any human control over the bot. These chat platforms either independent or via websites are effective through the internet. The chatbots developed with specific purposes as discussion and basic plus extended conversation with humans are just like instant messages.
The response to the queries is spontaneous and machine learning helps them process the requests. Chatbots can respond to the text and voice inquiries and perform the required actions. The knowledgebase helps chatbots to search for accurate response by combining information to communicate. Best examples of chatbots are Alexa from Amazon, Siri by Apple, Microsoft’s Cortana, and Google Home.
Companies like Pizza Hut, Uber, eBay, Lyft, Emirates, Bank of America, MongoDB, LeadPages, TechCrunch, and many more are already using chatbots to deliver a better experience to the customers.
Grand View Research Report says that the chatbot market globally is predicted to reach USD 1.2 billion in just ten years. The report says that the demand for intelligent virtual assistants is rising with automatic speech recognition and text to speech conversion.
Why Do We Need Chatbots?
These instant messengers create a personal and real life-like experience. The speed and precision it brings to the customer service are securing chatbots position in businesses. The growth of the business is a factor that invites companies to get their own chatbots.
Customization of messages is the next step for the improvement in chatbots. Repeating the same messages do not make sense hence learning from the customer behavior helps. Companies use chatbots by keeping their goals in mind; bringing relevance to the user journey, create intimate experiences, and engage with users.
Chatbots used uniquely for sending product updates, promotional messages, and product comparisons can deliver a better experience. We can collect user data, offer services, and replicate human interactions. The search of information is simplified, communicating can be easier, and personalization of information is possible too.
Chatbots take care of the basic level of communication. In case of inability to solve or in case of customer dissatisfaction; it passes to human handled customer service process.
Chatbots are available full time; they eliminate the waiting period for attendance by a customer care representative. They save money of companies spent on calls and customer care activities. You save on hiring and training costs of customer care executives.
Chatbots have no dependency on moods, feelings, interpretations and have no perception of who should behave how nor do they respond considering this. Chatbots can be effective at any given time and can do mundane tasks with the same precision every time without being bored.
Why Chatbots Are The Future Of Customer Service?
A survey by Business Insider suggests that 80% of the enterprises will use chatbots by the year 2020.
Businesses like banks, telecom, retail chains, e-commerce, and many industries use chatbots as virtual assistants for customer support. Initial training costs are higher but the inquiry management and response saves costs and time in the long run. It works on FAQs, the questions that are similar but framed differently by the users. The software allows the bot to explore the existing data about the user and the information stored on the topic.
The ability to understand the queries, recognition of terminology, dialogues, and presentation of the query is machine learning. A chatbot can identify if it is a statement or problem, select a proper template for the response, cross-check with the user if the understanding of the question is correct.
The data is collected from various sources by the bot; is cleaned, segregated, marked, and classified for reference. The data built from the customer service center e-mails, manual chats, training material, and call recordings are useful in improving customer experience. The dialogues that happen in this process are repetitive and this helps template creation and standardization of responses. The personal information from this data removed intelligently works in favor of companies. The intention is to extract the question-answer sets for further use.
The sequencing of data helps in organic search for the chatbot reducing the mistakes in understanding the questions. Chatbots can rectify typo errors and reframe the question-received input. Speak the language your audience uses not in terms of spoken language but the latest terms. Solve actual problems by asking relevant questions. Avoid missing opportunities by being available 24X7. A single chatbot can enter into multiple conversations that earlier needed a lot of employees.
Independently owned company or a large organization both can benefit from AI Chatbots. The companies with fewer resources or high frequency of customer conversations, in both the cases the chatbots, can serve more practically. Salesforce survey indicates that 64% of the agents can solve complex problems as AI Chatbots deal with the basic ones.
The customer experience is changing and the expectations are rising with the immediate response in 42% cases and response in less than 5 mins in 36% cases. The speed with which chatbots communicates, businesses will certainly churn information fast to serve faster. (Salesforce.com)
How Are Chatbots Used In Business?
Businesses and customers can get a reliable solution from assistance AI-based chatbots provide.
- Answering questions
- Redirecting to FAQs
- Providing detailed explanations
- Resolving complaints
- Bill payments
- Flight or restaurant booking
- Schedule meetings
- Purchase items
- Managing subscriptions
- Creating a brand image
How Are AI Chatbots Bettering Customer Experience And How Data Is Enabling This?
Artificial intelligence involves machine learning. AI creates intelligent machines, and ML creates systems that can learn from experience. The eBay chatbot enables a user to chat using smartphone or Google Home and it can purchase a product at the lowest price with your instructions.
The data collected by asking questions on chat, collected from surveys or any brochures/e-books the user downloads are stored for future use. This data helps to communicate with the user in the future. The preferences of users are stored; this creates a strong rapport and good impression. The feeling that the company knows the customer is special. The customer can relate to how well a company deals with data. Latest offers during the chat process ease registration, with existing information. There is no need for the user to create logins.
The data AI chatbots uses increases customer engagement rate, build brand awareness, and creates a personalized experience. The amounts of e-mails read less or not opened, due to flooded inboxes. The chatbots allow us to share the same amount of information at a faster pace. Chatbots can send text, image, pdf, or message in any form. This restriction less communication introduces increased activities of marketing and promotion.
Chatbots are effective and soon may replace the search window on the websites. Creating a chatbot requires an understanding of the business as well as a target customer. If your customer base for the product is the 16-30 age group of chatbot can be a perfect solution. For the age group of 55-65 maybe it the design with voice command or connect calls would work better instead. The internet connectivity is the dependency for chatbot hence the drops in the internet or limited availability can be an obstacle in serving efficiently.
The AI data is useful for training purpose, analysis, and serving the customers better. The situations that arise occasionally and some that arise regularly are included in training the customer representatives with the accumulated data.
The Future Of Customer Experience And Chatbot
AI chatbots are preferred by most of the companies as it saves time, money, and efforts. About 46% of internet users in the US would choose live support instead of a chatbot as per a survey by usabilla.com.
Machine learning increases the accuracy level of chatbots. ML allows the system to learn from the data but AI helps in decision-making. ML finds the solution for a user but AI will find an optimal solution. The advanced systems can go beyond the general chat. They let the user know that they are speaking to a Chatbot. This can change the way they ask questions and the response received from the bot can become more acceptable.
According to the report by Global Market Insights, the market worth of chatbot will be $1.34 billion by the year 2024 and nearly 42% will be dedicated to customer service.
Connect the AI Chatbots created by you with facebook messenger, Alexa, Siri or any of the reliable bots to increase efficiency. Chatbots can help take actions that are interaction or information-based. The user can actually complete the task of purchase, shopping, booking from the same chat window. There remains no need for a user to search for other ways of completing the task. It saves time and effort of the users and the companies get faster conversions.
AI can hold conversations as humans do, these dialogues create comfort and trust for users to participate in product/service-related feedback or surveys. The simple and complex form of communication with the prospects and existing customers is levered by the chatbots.
Chatbots were in making since the 1950s but today they have shape conversations using the triggers as keywords. Chatbots are better listeners and thus provide better solutions to the problems. The designing of chatbot involves humans hence the customization is programmable.
The chatbot applications are useful in customer service, social media marketing, and order processing. Sectors like BFSI, Media& Entertainment, Healthcare, Retail, and Travel & Tourism are widely using these solutions. The deployment of Chatbots can be on-premise or cloud, both opens easy ways of dealing with customers.
With gradual development, the concerns of delay in response, irrelevant suggestions, sharing of inaccurate information, misunderstood requests, or unhelpful responses have become a checkpoint. This is not the failure of chatbot but the development stage, which can assure improvement by the involvement of AI companies. The continuous growth in AI technology is the commitment of experts for betterment of human life including the business aspects.AI, ai applications, ai chatbots, ai models, chatbot, chatbots, conversational bots, customer experience, cx