The Challenge with Building Chatbots & How to Solve It
In recent years, conversational assistants and chatbots have become increasingly prevalent in the business world. According to a recent survey by Oracle, 80% of businesses plan to use chatbots by 2024. This trend has been driven by the growing demand for personalized, instant, and efficient customer service.
Conversational assistants offer a cost-effective solution for businesses to handle customer inquiries and support, providing customers with a seamless experience and saving companies time and resources through increased deflection from contact centre teams.
However, creating a chatbot can be challenging for businesses. One significant hurdle is the creation of comprehensive FAQs which can support all a customer’s needs. To do this requires a significant amount of time and effort to create and can result in businesses either launching with a reduced experience for their customers impacting satisfaction, waiting months to create knowledge bases which stall ROI on their technology investment or halting the initiative altogether.
This is where GPT comes into play. GPT is a large language model based on the GPT-3.5 architecture developed by OpenAI. It uses deep learning algorithms to generate human-like responses and provide users with a natural conversation experience.
There has been a lot of “buzz” about GPT in the media recently, and technology providers are now starting to apply the technology to solve real challenges for businesses.
Humley Think is the latest product enhancement for Humley’s Conversational AI platform, which utilizes the power of GPT models to overcome chatbot content creation challenges. Think uses businesses’ existing information sources, such as websites, SharePoint, PDFs, etc., to curate FAQs automatically.
Think applies generative AI models to suggest answers and training data, enabling businesses to build a chatbot in minutes. Unlike web scraping tools available in other chatbot platforms, Think allows businesses to maintain their brand tone of voice for the generated responses. This ensures that the chatbot’s communication style is in line with the company’s values and brand messaging.
Think means that businesses can deploy chatbots and conversational assistants in just a few clicks, saving time and resources through utilizing the work already done by teams to create knowledge sources. This saving also means that conversational assistant solutions are cheaper to set up, making them less cost inhibitive and accessible to a broader range of businesses.
Additionally, through ingesting a wide range of materials, Think can provide more engaging and a wider breadth of experiences to customers within a chatbot, ultimately leading to increased satisfaction and NPS.
In conclusion, through utilising GPT models and the latest technologies, as within Humley Think, businesses can more quickly and easily transform their customer experiences with enhanced self-service channels. Enabling not only a faster time to ROI through speeding up the deployment process for chatbots but also delivering improved experiences resulting success within respective markets.
Want to find out more or access Think for yourself, click the link below.