AI Insurance claims anomaly detection (Wipro Digital)

Challenge: UHG gets more than 30 million insurance claims every month. Out of this aprox. 10% claims gets rejected in system because of many reasons. This claims if comes through an appeal UHG gets penalty up to $25K.

Soln: With use of Apriori Machine Learning Algorithm created the model where the model was trained using rejected claims data and at beginning model started predicting as which caims if rejected are likely to come as re-appeal.

Carlsberg RPA (Genpact DigitaL)

Carlsberg a company in Consumer Goods in primaruly in Europe area was having non-english interactions with its 1100+ vendors was facing challenges and having High operating cost due to manual data collection from many sources, Low customer satisfaction due to inaccurate, manual processing and delayed billing.

 Solution:
 I implemented Artificial Intelligence along with RPA so that the company can get the Effective data management to improve accuracy and speed-of-billing forecasts. Carlsberg can get Automated revenue collection and reporting process for greater visibility and reduced operating cost. Bots were deployed to remove the manual processing and automate the end to end email contact center.

Jet Privilege Loyalty CRM Jan 19 till (Jet Airways) Now
 AI was used to get Improved visibility through Trend Finder.
 Business Impact:
  It helped Carlsberg to get greater customer satisfaction through process optimization, accurate billing, and precise forecasting.
 Additional $3 million revenue growth over five years.
 Potential to bring down the operating cost by ~40%
 Further opportunities identified within order to cash to save another $2 million in the next four years.