Abstract: Systems and methods for using machine learning to dynamically determine shipping information are disclosed. According to certain aspects, an electronic device may receive location data for a set of vehicles that may be associated with a shipping agreement, wherein the electronic device may input the location data and shipping agreement parameters into a machine learning model which outputs a set of likelihoods of the respective set of vehicles actually transporting products associated with the shipping agreement. The electronic device may enable a customer computing device to access this information along with any determined updates to the shipping agreement.

Abstract: A smokable rod for a smoking article, such as a cigarette, possesses a co-axial or concentric construction. A longitudinally extending inner core of tobacco cut filler is positioned within a smokable rod. The outer material that circumscribes the inner core in an annular fashion is composed of a tobacco material treated with an optional burn suppressing agent, and the outer material acts as a substrate for an aerosol forming material. A preferred aerosol forming material is glycerin. An outer paper wrapper circumscribes the length of the smokable rod, and another paper wrapping material also can circumscribe the inner core material. In use, one end of the smokable rod is lit. When the opposite end of the smokable rod is drawn upon, an aerosol composed of tobacco smoke, thermal decomposition products of tobacco, and volatilized aerosol forming material, is provided.