How to train your bot to reply to messages?
There are two methods available for training your bot to auto-reply to customer messages. While training, you do not need to be concerned about case sensitivity as the bot manages this aspect automatically. Fliqr equips you with the tools to develop bots capable of understanding any business-related messages, even if customers make typing errors. Automated responses can help your business save money and reduce human resource expenditure by providing instant replies to user inquiries.
To add a Short Keyword, navigate to Keywords Mapping and select the "Add" button. Avoid using long sentences as Short Keywords. It is recommended to use a maximum of 2 words for Short Keywords; otherwise, utilize Business Frequently Asked Questions.
1- Short Keywords: The bot will respond exclusively to user messages containing brief, commonly used keywords. These are typically unrelated to the business context and include salutations and expressions of gratitude such as "good morning," "good evening," "hello," "hi," "how are you," and "thank you."


If "thank you" is specified as a User Expression, the bot will respond to variations including "thank you Fliqr," "any text thank you any text," and "**thank you
2- Business Frequently Asked Questions (FAQ) FAQs are questions related to your business. The bot will only answer a FAQ if the user message is at least 98% similar to the question, otherwise, if the customer’s message includes Business Keywords, the customer will be presented with a list of all questions that contain those keywords. After that, the customer chooses the question he wants to ask and he gets the answer.
To add a FAQ, go to Automated Response > click the “Add” button.

Business Keywords also work in eCommerce to help your customers find your products more easily inside your chatbot. Products names are searchable by default but you can register product names and synonyms or wrong spelling to help your customer discover products faster. For example, a restaurant bot can register pizza as a Business Keyword and add piza as a variation. That way if one client types “piza” the bot will understand as pizza and show him a pizza.
As you can note, the variations are normally a synonym or wrong spelling of a Business Keyword. But sometimes you need to use related words to help your customers find the questions. In our bot (Fliqr) we have a training phrase “What messaging platform do you support?“. But normally people ask “what about WhatsApp …”, “… Viber …”, “… Instagram ….”. So we register messaging as keyword and we add WhatsApp, Viber, Instagram, Skype, Slack, and Telegram as a variations. When the user sends any of these words the bot will understand as messaging and show the user this question.
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