7 Chatbot Benefits That Will Transform Your Business
Artificial Intelligence (AI), Machine Learning and Deep Learning (ML and DL, respectively), and the utilization of software/hardware robots within the realm of internal and external corporate processes, operations and workflows, have revolutionized the global ecosystem of SMEs and larger enterprises. Modern Chatbots are software robots that utilize advanced AI programming to automate business tasks and assist with customer-based operations, including sales, marketing, and customer service. As chatbot usage continues to rise and dramatically increase into 2018, many question the hype surrounding chatbots. Are these technological systems truly cost-effective,novel programs that can better their enterprise’s bottom line and increase both operational efficiency and workplace productivity? Global experience is showing that as long as chatbots are used effectively, they can dramatically increase a company’s bottom line by smartly automating a number of externally-facing and internally-facing workflows, reducing overhead and greatly benefiting a company. There is a reason why, as noted by Business Insider, 80 percent of businesses want a chatbot by 2020. Additionally, as noted by Juniper Research (as reported by IBM), by 2022, chatbots and NLP have the potential to save companies roughly $8 billion per year, and to reduce customer service costs by 30 percent.
There are a number of different types of chatbots, each with their own advantages and pertinent usage:
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Web-based: Web-based Chatbots are utilized within business websites via web application integration.
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Stand-alone: Though not as common as web-based or app-based, integrated Chatbots, standalone chatbots (e.g. voice or personal assistant bots) can be developed and utilized without being integrated within another software application.
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App-based: Since messaging and business apps benefit most from the use of externally (customer) facing chatbots, many Chatbots are integrated within already-existing messaging/business apps and platforms, such as Facebook, Facebook Messenger, Slack, and Skype.
For Chatbots to be utilized correctly and leveraged efficiently, they need to have the capability to evolve and grow with a scaling business, which requires three major factors:
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Artificial Intelligence, Machine/Deep Learning: AI is the study and application/development of robotic, computational systems that display human-like intellect, cognition and learning behaviors/skills. ML is a subset of AI which allows computer systems to operate in a manner without being explicitly programmed to do so, while DL indicates a computer system that learns from experience and thus “grows” in knowledge like a human.
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Conversational UI: Conversational UI is a novel, cutting-edge interface that allows humans to interact with computer systems via human-language based voice or text commands, which gives the chatbot ecosystem a way to enhance human-to-computer interactions.
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Natural Language Processing (NLP): NLP indicates the usage of voice-based human language words/commands that are processed and understood by a computer system, resulting in a pertinent reply (by the computer system) in response to the user’s initial command/words.
Chatbots can be utilized for internally-facing, business operations and workflows, or externally-facing (typically, customer-facing) business operations. For the former, this includes HR bots, and the automation of administrative tasks that helps to save time, reduce overhead, and allows skilled personnel to finish more critical business processes. Additionally, bots can be used for the analysis of business data with respect to Big Data analytics and the production of Business Intelligence (BI). For externally-facing operations, such bots are usually used to enhance sales, marketing and customer service operations, all of which has the potential to greatly increase the efficacy of all such operations in a company. Ultimately, chatbots/bots can be used for optimizing both internal and external business operations via smart automation and bot-assisted analytics operations.
As noted by Digital Doughnut, there are seven core advantages for using Chatbots in a business of any size, including:
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Leveraging bots on popular messaging/business mobile apps to reach a company’s user base in a new, powerful way.
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Enhancing customer service via automation workflows, which can increase both the efficiency and speed of Customer Service operations.
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Feedback and consistent engagement with customers is key for brands to stay relevant in the marketplace. While this is often done via social media and email campaigns, chatbots can be deployed on such platforms to increase customer engagement in a more human-like, interactive manner.
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Chatbots are able to integrate with a company’s already existing data analytics and data monitoring systems to present new insights to company executives in the form of Business Intelligence (BI).
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Qualifying leads and nurturing leads to reduce churn rates and increase conversion rates is critical in any business. Chatbots can be leveraged to help a marketing officer identify qualified leads, and to analyze KPIs/metrics so that time and resources can be applied only to leads that have a high likelihood of converting into customers.
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One of the main benefits of chatbots that utilize advanced AI/NLP is their ability to operate in a globalized market and assist customers all over the world in multiple languages, 24/7. This can greatly help to enhance and drive forward the customer service operations of any global company.
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While developing a standalone bot or a novel application may be expensive, deploying a powerful bot onto an already-existing business/messaging platform is typically very cheap, while such a novel implementation of this new technology can help to greatly save a company money and reduce overhead. Additionally, due to enabling robust automation processes and assisting employees with administrative and marketing/sales tasks, chatbots can reduce CACs (customer acquisition costs), as well as decrease the time frame associated with project life cycles.