Our client, a trusted and reputable business in the U.S., offers an online cloud-based AI chatbot platform to build bots for Messenger. They offer conversational marketing platform that helps organisations to close their business deals by messaging prospects in real-time via intelligent chabots. These intelligent bots automatically qualify leads, book meetings & connect the best leads to live reps.
Client contacted Webuters with an umpteen number of queries and they were a challenge at first but we are a challenge loving result-orient team to tech it. Some of the major challenges that came along with the project requirement were.
(a) The client was looking for a user-friendly UI that allows end-user of the application to create bots with simple drag and drop.
(b) They also were looking to separate the business website and bot editor, to make it easily accessible by end-user through internet and for instant application handling to be possible.
(c) Requirement of real-time conversation storage was definitely a challenge. They wanted it like this so that all the bot conversation can be stored and managed in a fast, secure way accompanied by quick storage of conversational data.
(d) They also needed Data synchronization for existing user into newly created Database model. Here with Data we mean Conversational chat. It was no less of a challenge.
After the complete analysis of client’s requirement and the challenges, Webuters headed for the agile methodologies to manage and execute different stages & challenges of the project by diving them into multiple life cycles.
The team developed a user-friendly UI/UX design for the system in which they developed friendly UI for the bot editor, so that end-user can easily drag and drop the controls and create their needed bot quickly. For data synchronization, Webuters used Amazon Elastic Search, which helped in achieving the requirement of the best Analytics of the user system. AWS Cloud front and S3 bucket was used to separate the business website and bot editor for making the application accessibility lighter.
We successfully created a user-friendly UI to create bots by drag and drop, separated business website and bot editor, created required data synchronization with real time conversation storage. We finally delivered the system that our client contacted us for. We take pride in saying that the system we delivered is exactly what our client was looking for to meet his business needs.
Team Size: 3
Amazon Elastic Search
Amazon S3, Amazon Cloud Front
Natural Language processing
Cloud Natural Language API
Cloud Translation API
YouTube Data API v3