Self-contained and demand-adaptable warmer for storing, heating, and holding ready-to-drink beverages

A beverage warmer, comprising:

• a product shelf with an ambient storage zone, a heating zone, and a serving zone, wherein the product shelf comprises a first door between the ambient storage zone and the heating zone and a second door between the heating zone and the serving zone, each of the first and second doors configurable between an open and a closed position;
• and
• a controller configured to:
• input, into a generated machine learning model, current condition data, wherein the current condition data comprises a spoilage behavior of a first product of the beverage warmer;
• generate, using the generated machine learning model, a demand prediction associated with the first product in the beverage warmer;
• detect that the first product is removed from the serving zone;
• and
• selectively operate, based on the demand prediction, the first door to transport a second product from the ambient storage zone through the heating zone and to selectively operate, based on the demand prediction, the second door to transport the second product from the heating zone to the serving zone, wherein, if the controller determines that a current time is a low demand period, the controller is configured to responsively determine not to transport the second product through the first door from the ambient storage zone to the heating zone.