Social Chatbots Solutions
Enabling Intelligent conversation with customers
Tools we work with
Development platforms that we leverage for building intelligent bots
Clients and Partners
Partnering with 100+ of businesses globally in their digital transformation journey and delivering exceptions solutions.
What clients say about us?
We Deliver Happiness to our Customers by meeting their expectations
We are realistic about there may be disruption or issues, but we wanted to have clear communication and faster responses. And Innomick built our trust by being proactive, responding to our requirements and keeping us informed always. They helped with solutions like centralized configurations and unified interface to trigger backup and recovery etc. And the result has been delivered with enhanced reliability and increased bandwidth at a lesser cost.
Founder, US based Healthcare Company
Stats and Numbers
We make every engagement a success with thoughtful engineering
Why choose Us?
Engage your customer 24X7 on your digital interfaces and social media
Looking to build a Chat or Voice bot?
We have built several chat and voice bots across industries, and can help you too. Book your free consultation now!
Frequently Asked Questions
Here’re a few key steps involved in developing a complete functional Chatbot from scratch to production
Step 1: Analyze, and understand on your business requirement and use case and know why your business needs a Chatbot in your Website or mobile app.
Step 2: Now once you have analyzed your business requirements and know that you need a chatbot for your business, then:
Step 3: Use a system that tracks each message between user and Chatbot.
Step 4: Work on well-versed Intent Fulfillment Logic after you get NLP response. And cover all the aspects by adding fallback business logic too.
Step 5: Then rigorously unit test your Message state logic, Intent fulfillment logic and fallback logic for all the edge cases that you can think of.
Step 6: Then make Quality assurance team or the business analyst do a rigorous Quality assurance check and user acceptance test before deploying to reduce bug chances.
Step 7: Deploy your ChatBot in Cloud (Azure/AWS) for public access.
Step 8: Integrate ChatBot application into your Website / mobile application.
Chatbots require a lot of training. All you need to do is to create a question, formulate an answer and subsequently you train your bot with various kinds of ways you can ask the question that needs exact same answer. And after entering enough training questions, chatbot will find similarities in the phrases. So if you ask a question that is not in the training data, but resembles to some specific group of training questions, the bot will respond with the answer from that group. In short, chatbots can match questions to answers. But it can not create an answer so make your expectations clear.