Abstract: A system for collateral appraisal and loan entry integration is disclosed. The system allows a user to select an item to buy or pawn. The system obtains information of the item, accesses vast databases and utilizes machine learning algorithms to analyze various data points and generates accurate valuation for the item. The system assesses the value of the item based on location, recent sales transaction data, latest market information, etc., and ensures that the item valuation is current and accurate. Further, the system determines loan tenure or loan amount that can be provided to the user to pawn or buy the item. This automates the collateral valuation by leveraging technology and eliminates the need for manual appraisals.

Abstract: A system for automatically collecting, displaying, analyzing and projecting data associated with inbound and outbound calls at a plurality of customer care call centers is presented. The system comprises a computer system, a memory, and an application stored in the memory that, when executed by the computer system, stores inbound call metrics about calls to a plurality of customer care call centers, and stores outbound call metrics about calls directed outbound from the plurality of customer care call centers. The system further determines a current call handling status of the plurality of customer care call centers, projects a future status of the plurality of customer care call centers based on the inbound call metrics, on the outbound call metrics, on the current call handling status, and on a call handling plan, and performs an action based on the projected future status of the plurality of customer care call centers.