Abstract: A system and method for pricing software service requests is provided. The method includes entering input details corresponding to a clients' software service usage data. The method further includes calculating a cost per ticket for each severity level of the software service request. A margin for each severity level is assigned to each severity level in the order of increasing severity. Thereafter, a price per software service request is calculated for each severity level using the corresponding margin. Additionally, the method includes determining an optimal staffing scheme corresponding to one or more software services.

Abstract: A system and method for store level labor demand forecasting for large retail chain stores are disclosed. In one embodiment, a chain store level labor budget in labor hours for a future point-in-time is determined. Further, backend labor hours are obtained for each store using a backend regression equation that is based on forecasted independent variables. Furthermore, frontend labor hours are obtained for each store using a frontend regression equation that is based on customer service driven factors and using a what if scenario model to select best case values of the customer service driven factors. In addition, needed store level labor hours are obtained for each store by aggregating the obtained backend and frontend labor hours. Moreover, store peer groups are formed and a performance rank of each store within each store peer group is obtained. Also, allocated chain store level labor hours to each store are optimized.

Abstract: A system and method for pricing software service requests is provided. The method includes entering input details corresponding to a clients' software service usage data. The method further includes calculating a cost per ticket for each severity level of the software service request. A margin for each severity level is assigned to each severity level in the order of increasing severity. Thereafter, a price per software service request is calculated for each severity level using the corresponding margin. Additionally, the method includes determining an optimal staffing scheme corresponding to one or more software services.