Decoding ChatGPT & Generative AI: Use Cases in Sales

It considers previous queries and replies that have been provided so far, utilizing an immense amount of data found on the internet for its answers. As generative AI advances, it is quickly becoming less expensive and more efficient than work done by hand, and in some cases, surpassing what humans create. Every profession that requires creativity — such as social media management, games development, graphic design, coding, or product design, to name a few — will soon be revolutionized by this technology.

Deploying ChatGPT not only saves time but also boosts sales performance and overall efficiency. For instance, let’s consider a software company’s B2B sales team receiving 100 inquiries daily, with 50 of them being repetitive questions about pricing and payment options. By implementing ChatGPT, they can automate responses to these queries, resulting in significant efficiency gains. ChatGPT has revolutionized Yakov Livshits the way sales teams operate by delivering actionable insights that optimize sales processes and drive revenue growth.” – Jane Smith, Sales Strategist. Imagine a world where artificial intelligence becomes the creative wizard you’ve always dreamed of. Generative AI can’t have genuinely new ideas that haven’t been previously expressed in its training data or at least extrapolated from that data.

Interactive Voice Response (IVR) Systems

This form of AI depends on advanced machine learning and deep learning to study large datasets and create content based on prompts. A great example of generative AI is OpenAI’s Chat-GPT4 which creates human-like text content based on prompts/inputs. GANs are a type of neural network architecture used to generate new data based on existing data. GANs are used in various applications, such as image synthesis, text generation, and audio synthesis.

This technology is typically applied in chatbots, virtual assistants, and messaging apps. It enhances the customer service experience, streamlines business processes, and makes interfaces more user-friendly. We’re all familiar with calling a toll-free number and then being asked to select from a limited set of choices. That’s an old-school IVR system and it has a lot of the same problems as traditional chatbots – specifically that it can’t recognize an input outside of its scripted responses. With natural language processing (NLP), IVR systems can recognize conversational language and provide more accurate and personal responses.

Advantages of ChatGPT in Sales Processes

Conversational AI companies are platforms that help online businesses set up personal AI chatbots on their websites. Some conversational AI chatbot companies specializing in providing advanced chatbot solutions are IBM Watson, Chatfuel, LivePerson, and Microsoft Bot Framework. These easy-to-use platforms help users create virtual agents that automate visitor interactions, solve customer queries, improve business processes, and integrate with multiple channels. Generative AI is an artificial intelligence technology that uses machine learning algorithms to generate content.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

It also helps in automating tasks that require content creation, saving time and resources. Generative AI can also enhance personalization by generating tailored recommendations or responses based on user preferences and behavior. Generative AI has brought about a remarkable revolution in the world of Manufacturing and Production. Manufacturers now have access to an endless array of data sources, allowing them to gather valuable insights.

As a result, customers get immediate answers, improving response times and allowing MSPs to focus on higher-priority tasks like product development. Artificial intelligence enhances the customer service experience, helping businesses remain competitive and simultaneously providing excellent customer value. We joke that if you walk into a contact center and see agents’ desks plastered with sticky notes, you have a knowledge center problem.

More than eight in 10 want generative AI to automatically send them to an expert human agent if it can’t provide the answer itself. Generative AI can only pull from what it knows, which means that an example like the one above wouldn’t include recommendations of car models released in the past year. Besides the practical challenges of retraining LLMs, there are also legal challenges around privacy that must be overcome before this becomes a viable search alternative. Now that we have a clearer understanding of Generative AI, let’s explore its key features and potential business applications. Predictive AI, on the other hand, is primarily concerned with using historical data and statistical algorithms to make accurate predictions about future events or outcomes. It analyzes patterns and trends within the data to forecast what is likely to happen next.

How to Leverage Generative AI in Chatbots for SaaS Customer Success

Combined with watsonx Orchestrate™, which automates and streamlines workflows, watsonx Assistant helps manage and solve customer questions while integrating call center tech to create seamless help experiences. Artificial intelligence is a technology used to approximate – often to transcend – human intelligence  and ingenuity through the use of software and systems. Computers using AI are programmed to carry out highly complex tasks and analyze vast amounts of data in a very short time. An AI system can sift through historical data to detect patterns, improve the decision-making process, eliminate manually intensive task and heighten business outcomes. By utilizing multiple forms of machine learning systems, models, algorithms and neural networks, generative AI provides a completely new form of human creativity.

The application of conversational AI extends to information gathering, expediting responses, and enhancing the capabilities of agents. These models are trained on large datasets and learn to generate new content by capturing the underlying patterns and structures. For example, a generative AI model trained on a dataset of paintings can create new artwork that resembles the style of famous artists. Gartner analysts have predicted that the call center industry will Yakov Livshits likely save  as much as $80 billion by 2026 if they switch from human employees to AI chatbots. Consequently, more and more customer service companies are investing in conversational AI solutions to access these potential savings. As technologies around text-to-speech models and natural language processing continue to develop, it’s becoming increasingly difficult for people to differentiate when they interact with humans and when they interact with bots.