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Chatbots are playing an increasingly important role in customer support. Companies in New York that run e-commerce stores, or any large website that serves consumers, will be bombarded with support queries on their phones and email. Not only does this increase the cost of operating the business, but it can also lead to bad reviews if the customer support requests are not handled correctly. The solution is to work with a chatbot developer that operates in the New York area, and that can set up the capability to handle the bulk of these requests. In this article, we will cover what to look for in a chatbot developer in New York.
- Experience with multiple programming languages
When building a custom chatbot, your developer will need to be familiar with multiple languages, including PHP, Python, JavaScript, Node.JS, jQuery, NoSQL, and others. As such, you will need to find a chatbot development company that covers the New York area and deploy software using a multitude of languages. Otherwise, the chatbot will have limited functionality, and it may not achieve all your business objectives. On top of that, the chatbot developer should deploy software for multiple platforms such as iOS and Android.
- Experience with data analysis and machine learning
What makes for a truly great chatbot is its ability to incorporate commonly asked questions and given answers automatically in its algorithm. This is why any chatbot developer in New York area needs to have experience with these two aspects of bot building. A company that does not have this very relevant experience will take longer and possibly raise costs to implement machine learning into your chatbot.
- Experience with triggers and requirement analysis
Customer interactions can be complex, especially for a computer. Besides the questions that come into play, you may also have unexpected user actions. A chatbot developer covering the New York area understands this, and will use triggers and requirement analysis to ensure that the interaction between the chatbot and the user achieves customer support goals. Triggers occur when the user takes action, such as asking a question or clicking on the “Live Support” button. But what if the user stops the interaction in the middle of a conversation. This is a much more subtle trigger, that is revealed through requirement analysis. A top chatbot developer in New York will identify these subtle triggers and implement them from the get-go, reducing the number of patches and updates needed later on.