A comprehensive view of contacts was developed for a leading asset management company in the UK, which served as inputs into Machine Learning models. Accurate predictions of disinvestments in 60% of the cases leading to retention of mandates worth £444 million. Better targeting of wholesale clients led to a potential investment uplift of £50 million.
A survey was designed to capture essential data for a leading online marketplace, and a regression framework was formulated to understand purchase intention. Correspondence analysis was done for brand perception. These resulted in effective promotion campaigns to convert purchase intention to sales.
For a leading SMB financial software and payments processing company, a behavioral segmentation-based rapid diagnostic analysis was performed to identify revenue leak sources, which addressed $1.73 million (~83%) of the revenue leak.
For a US-based leading travel website, the drivers of NPS were identified using text mining. The influence of NPS drivers on customer loyalty was quantified using a regression approach. The company’s implementation of strategies based on NPS drivers analysis resulted in a 15% increase in repeat transactions from existing customers.
An intelligent solution that learns from past deals to provide deal-specific discounting guidance was developed for a leading multinational software firm. The tool is expected to save at least $42 million annually apart from reducing the need for external manual intervention for a majority of quotes.