Abstract
Crowdsource management imposes many challenges including varying degree of demands for food and daily routine consumables. The explicit problem for estimating increase or decrease in demand arises when crowd moves dynamically to different locations with respect to time. This may result in wastage or shortage of many resources and loss for various stakeholders. To overcome the issue of demand estimation more precisely food demand and efficient supply, this paper proposes a conceptual framework to sense the data of crowd such as number of humans and update the suppliers timely. IoT and WSN techniques are used to count the number of humans in crowd at some particular area with respect to time for food demand estimation.