If you want to start a chatbot marketing agency, this is a no-brainer. You already know you want to sell chatbots.
But if you’re on the fence about selling chatbot services, this section is for you. (Plus this article, which provides more detail on the subject.)
What is a chatbot?
Chatbots are computer programs designed to learn and mimic human conversation using artificial intelligence (AI) called conversational AI. There are a few best practices that feed into conversational AI.
Businesses commonly use chatbots to help customers with customer service, inquiries, and sales. But that’s just scratching the surface of how you can use chatbots for business.
Step 03: Make Sure To Research For Your Bot Agency Properly
Market research is critical when you are aiming for a chatbot development agency. You will need to learn everything from the primary issues to critical thinking that businesses in your chosen industry confront. For this goal, the use of corresponding learning resources via the StuDocu study materials sharing platform is always welcome among a great number of leading managers and young specialists and that will be a great assistant in your advanced research.
Before you start building a chatbot, you need to figure out what problem your chatbot agency will solve.
You will want to show potential customers in your niche a chatbot you have already built that can help them solve their problems. Create a demo chatbot for the industry you have chosen so that people can see what you are talking about.
The rise of chatbots
Chatbots are not new. The logic expert Alan Turing developed the world’s first chatbot, ELIZA, in 1966. Of course, a lot has changed since then, even if it took a while for chatbots to be integrated into our everyday lives. Chatbots only got their real break-through with the development of the channels that make their usage particularly useful: messaging apps.
Read Also: How Much Does it Cost to Develop AI Chatbot?
When enabled with machine learning, the chatbots become more intelligent, can make strong anticipations, can provide 100% satisfactory results, and are much more driven to outstanding user experience. Whatever query user places to your chatbot, if matched with their caliber, the result can be astonishing.
The only muddle such mechanics face is the wobble quantity of learning involved in chatbots. Another drawback is if any blunder happens, it will be resolved on the chatbot’s end. The developer or user cannot interfere in between.