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 thorough analysis of downsizing their call center personnel was done for a client in the remittance industry. The subsequent revenue impact was determined.
An Azure ML- cloud-based modeling automation framework was built for a leading global software company, which helped the marketing team make the right tweaks to their spend value of $1.6 billion, thereby improving marketing ROI by 3-4% an average.
Lexical analysis of organic social conversations for a leading global software company enabled the product marketing team to prioritize the features to be developed and make a detailed product development roadmap.
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.
A dashboard that monitors the performance of the client’s newly launched chatbot was developed for a multinational e-commerce corporation. This resulted in a drop in escalation rates from 20% to 4.48% and an increase in resolution rates to 85%.
An automated platform for managing campaigns was created for a leading online payments company. Customized campaigns resulted in additional revenue of $7.5 million.
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.
