Abstract: A customer’s affinity towards a plurality of mattresses displayed in a brick and mortar store is determined. The probability of the customer purchasing at least one of the displayed mattresses is extrapolated based on the customer’s affinity towards each of the mattresses. Customer engagement with each of the mattresses is determined based on the pressure data obtained from embedded pressure sensors responsive to the body pressure. The pressure data and the information indicative of a total number of positions taken up by the customer on each of the mattresses, time spent by the customer on each of the mattresses in each of the positions, and the total time spent by the customer on each of the mattresses are fed to a neural network as inputs, with the neural network determining an affinity score indicative of the customer’s affinity towards each of the mattresses.