How we help a BFSI major to analytically identify Hi-Potential employees and improved sales. We ensured better retention and higher productivity.

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Business Challenge

Our NFBC client has 2,500+ sales personnel spread across 8 financial portfolios. As they work on a highly competitive BFSI market, sales targets are aggressive. Only high performing employee can sustain and non-performers are either trained or passed out. Our client faced challenges in identifying high performers during the time of interview.

Our Solution

Our Applyπ Hi-Pot Predictor Platform trained analytical models using historic attributes and variables. The platform deploys machine learning algorithm to score each sales personnel. The scores are compared with actual performance for training.

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Benefits

Our NBFC Client gained traction in addressing the training needs o re-orient potential but non-performing resources. The Platform is linked with Talent Acquisition App to screen Hi-Pot Employees for recruitment. The overall Average Sales Conversion witnessed 14% more acceleration.

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