Please reach me for the code/enhancements if you are interested. I am also good to work with you in enhancing this idea to greater level.
Mail analytics app which optimizes mail handling practices with Focus areas : Customer, Suppliers and Operations by applying Machine learning, NLP technologies on emails
Mail Communication is a critical channel in enterprise. The pain is getting inbox piled up with hundreds to thousand of mails in a single work day. A typical developer receives 100 mails where as an enterprise executive receive thousands of emails where he misses his focus areas.
Any Project/Team delivers a Product or Service to Consumer(Internal/External) and gets inputs from Suppliers(Internal/External). The internal operations also take priority. To effectively manage all 3 areas using mail and other communication tools, We analyze these emails and classify them based on actions, internal, external team and give effective recommendations.
Customers : This could be external customer or internal teams which consume our product Suppliers : Internal team / External supplier who provide information / data to our product Operations: Internal Team / Organization Actions: The next step TODO in the focus areas like FYI, ImmediateAction, DelayAction, PendingAction, Outdated (old infra emails), Useless, SPAM
- Effective Meeting management with ROI on Meeting hours, Per customer meeting tracking
- Automated delegation recommendations of mail threads based on prior forwards/delegations
- Track your Operations with Customer requirements
- Track your Operations with Suppliers availability
- Track productivity of team with Product requirements/availability
- Automated Weekly/Sprint based "TODO" reports and "Accomplishment" reports tied to JIRA
- Automated JIRA/Bug updates
Similar tiles will be generated for Supplier vs Operations, Action vs Supplier, Action vs Customers, Action vs Operations etc.
