Abstract: A system and method uses low cost and power efficient motion sensors integrated into (or attach to) a broad range of general Consumer Packaged Goods (CPG) containers or packages to learn and recognize a consumer's gesture(s) during a consumption event. Sensory inputs from motion sensors, such as an accelerometer, a compass, and/or a gyroscope are provided to a depletion prediction model/program which maps past consumption events to determine a percentage of quantity of the good(s) remaining in the CPG. The depletion prediction model may take into consideration the individual consumer's habitual consumption rate and history. The depletion prediction model is updated continuously, or at specific time intervals, based on the input(s) from the motion sensors. The depletion prediction model can then be used to predict the quantity remaining for the CPG being tracked, allowing the system to further handle re-stocking with a retailer's online system.

Abstract: Advanced automated monitoring systems and methods that monitor food quality in real time, and alert consumers for signs of food quality deterioration based on various environmental and biochemical sensor inputs, and knowledge of the food and its holding requirements. The system uses sensor data and rules to estimate the rate at which food is being consumed and may make predictions on when the food will be fully consumed. The system may promptly notify the consumer of when the food will be depleted or spoiled and optionally may issue instruction(s)/message(s) to place an order to replenish and restock the food.