Case Study: Drupal gets smarter with AI driven Bot
This case study involves working with a chemical company. The initial scope of the application was to collect, analyze data and add visualization using JS charts
We proactively suggested building a chatbot integrated with an application.
Chatbots workes on the “AMA approach [Ask me Anything]” and on simply asking a query, the bot would analyze necessary data to answer.
The application now built can deliver very useful insights on key metrics like savings potential. Chatbots assisted leaders, managers, and employees to get data trends and insights within seconds rather than analyzing graphs.
In terms of technical architecture, data is imported to the drupal system which is processed to visualize into JS charts. Additionally, integrated AWS Lex to analyze the user intent captured from the chatbot interface and then query to get the results. Drupal’s strong authentication and workflow system helped to fetch the right data as per user role.
Building a bot helped the client in the upselling business worth $90M and increased the user retention of the beta user group from 8% to 42%, boosting the product upselling.
Kamalpreet Kaur
Technical Project Manger @ Srijan Technologies
- 9+ years of experience in IT Project Management and certified Scrum Product Owner
- Executed projects in waterfall & agile using SCRUM project management methods for Fortune 100 companies
https://www.midcamp.org/2020/topic-proposal/case-study-drupal-gets-smarter-ai-driven-bot
We proactively suggested building a chatbot integrated with an application.
Chatbots workes on the “AMA approach [Ask me Anything]” and on simply asking a query, the bot would analyze necessary data to answer.
The application now built can deliver very useful insights on key metrics like savings potential. Chatbots assisted leaders, managers, and employees to get data trends and insights within seconds rather than analyzing graphs.
In terms of technical architecture, data is imported to the drupal system which is processed to visualize into JS charts. Additionally, integrated AWS Lex to analyze the user intent captured from the chatbot interface and then query to get the results. Drupal’s strong authentication and workflow system helped to fetch the right data as per user role.
Building a bot helped the client in the upselling business worth $90M and increased the user retention of the beta user group from 8% to 42%, boosting the product upselling.
Kamalpreet Kaur
Technical Project Manger @ Srijan Technologies
- 9+ years of experience in IT Project Management and certified Scrum Product Owner
- Executed projects in waterfall & agile using SCRUM project management methods for Fortune 100 companies
https://www.midcamp.org/2020/topic-proposal/case-study-drupal-gets-smarter-ai-driven-bot