Abstract: A system, method and computer-readable storage medium are disclosed herein. The system includes one or more servers, one or more processors and a memory storing computer-readable instructions that, when executed by the one or more processors, cause the system to perform operations. The operations include receiving data and information associated with a user, and executing a first ML algorithm to select which other ML algorithm to execute to determine a value profile associated with a collateral asset. Additional ML algorithms are executed to generate a collateral profile associated with the collateral asset, an activity profile associated with a user, and a household profile associated with the user. Data from among the profiles is combined to generate a digital asset, and advanced analytics are applied to the digital asset, in connection with rules and policies, to identify a user-specific product offering. The user-specific product offering is communicated to the user.

Abstract: A litter box includes a pan, tabs, a first shelf, and a second shelf. The pan includes a bottom panel connected to at least one wall panel that extends outwardly from the pan such that a volume is defined between the bottom panel and the at least one wall. The pan includes a first end and a second end opposite the first end. The tabs are connected to the at least one wall at the first end. The tabs project inwardly into the volume of the pan. The first shelf is disposed adjacent the at least one wall panel at the first end and connected to the tabs. The second shelf is disposed adjacent the at least one wall panel at the first end and connected to the plurality of tabs.