Understanding ChatGPT for Customer Service & Sales Bots
Technologies like ChatGPT are here to stay, and they are here to help lift the heavy load of administration. ChatGPT is able to enhance your business, saving you time and adding to your productivity; thus, leading to scale.
How ChatGPT can help with customer service?
ChatGPT can be used to build chatbots and virtual assistants that can provide customer support and answer common questions. This can help your business reduce the workload on human customer service representatives and provide 24/7 support to customers.
Who is using it?
Companies like Salesforce are creating software incorporating artificial intelligence to help salespeople, customer service agents and marketers do their jobs. Salesforce is calling the offering EinsteinGPT, drawing on OpenAI’s technology.
Forbes recently reported that Meta, Canva, and Shopify are all using ChatGPT’s technology to answer customer questions.
But will it really help?
Yes! Having a background in ecommerce (I opened my first retail store nearly two decades ago), the most common queries I had by phone or email were simple things like, “When is my package expected to arrive”, or “How many days do I have to return this item” – to which ChatGPT can simply pull the data and produce a response. A 5 to 10-minute labour task is now reduced to seconds of efficiency.
Where can I learn more?
It's free and super simple to test out ChatGPT, simply head to https://chat.openai.com/ - you need an email account to sign in. Even my grandma had a play!
How can I immediately upskill?
LinkedIn learning has a new free short course (31 mins) online by Ian Barkin: https://www.linkedin.com/learning/introduction-to-conversational-ai/what-is-conversational-ai?autoplay=true
About the course:
The use of AI in consumer and enterprise environments is exploding—and conversational AI is leading the way. Conversational AI is part of the intelligent automation spectrum of technologies used to digitize and transform operations, customer support, sales, and interactions with enterprise technologies. In this course, instructor Ian Barkin puts it all into context, situating conversational AI with its historical predecessor technologies and introducing the new technology stack: natural language processing, automatic speech recognition, and natural language understanding.
Explore the different types and benefits of conversational AI tools, with real-world examples drawn from enterprise experiences to highlight the ways in which this powerful technology has been deployed. From modern conversational AI channels and platforms to using AI chatbots in practice, by the end of this course, you’ll be equipped with highly sought-after skills to create better AI strategies for your teams.