Abstract: A system and method for passively determining and placing a stock item using an internet of things (IoT) tag is presented. The method includes receiving, during a predefined time window, data packets from a gateway, wherein the received data packets include at least a sensing signal from a plurality of IoT tags; identifying a first IoT tag from the plurality of IoT tags having a signal strength indicator above a predetermined threshold rank, wherein the first IoT tag is attached to a stock item; identifying the stock item, using a machine learning algorithm on the received data packets of the identified first IoT tag; and causing determination of a placement point to place the identified stock item.

Abstract: A method for calibrating a value of an environmental condition derived information supplied by a wireless tag comprises: determining a value of an environmental condition impacting the wireless tag based on (i) information supplied by the wireless tag and (ii) a tag calibration model of the computing system; when a difference between the determined value of the environmental condition and a measurement of the environmental condition made by a user device exceeds a prescribed threshold, updating in real time, the tag calibration model, substituting the measurement of the environmental condition made by the user device for the determined value, and supplying in real time, as an output, the substituted measurement of the environmental condition made by the user device as if it was the value of the environmental condition derived from information supplied by the wireless tag.