Abstract: Systems and methods are provided for automating the process of managing automated real-time assignment of electronic bill based on at least a portion of the obtained electronic bills, productivity data, one or more characteristics of the bills, although other types of data or other information may be used to train the machine learning assignment algorithm. A machine learning assignment algorithm that determines assignment of each of a plurality of new and existing electronic bills to a plurality of auditor identifiers may be implemented. For example, the machine learning assignment algorithm may determine assignment based on current productivity data, current billing data, and current workload data.

Abstract: This invention is a mattress core that is manufactured as a single unit. It is made up of individual cones that have different configurations resulting in different densities at different portions of the mattress. There are three main ways to accomplishing this goal: columns of different sizes and shapes, columns with different hole diameters, and columns with different density foam used to create them. A key advantage of this invention is that it is a single mattress made from a single mold, and does not require multiple parts to be put together.

Abstract: This invention is a mattress core that is manufactured as a single unit. It is made up of individual cones that have different configurations resulting in different densities at different portions of the mattress. There are three main ways to accomplishing this goal: columns of different sizes and shapes, columns with different hole diameters, and columns with different density foam used to create them. A key advantage of this invention is that it is a single mattress made from a single mold, and does not require multiple parts to be put together.