A lot of wastage happens in man power prediction for various roles. This was happening throughout the portfolio of our client. we modelled their man power consumption based on historic trends and other data sources and our prediction improved the manning accuracy from 74% to 95%.

Our prediction algorithms saved the company money in 97.5% of the times as compared to their existing forecasting models.