The megacity of Lima generates daily around 9,000 t of wastes (organic and non-organic). This waste is collected by a network of municipalities with a customer service level of 43% and average cost of 38 $/t. This research is focused in Comas, a district of Lima. This district generates dairy 450 t of waste. The authors propose a key performance index to increase efficiency (customer service level) and reduce operating costs for waste collection service on Comas district (Lima) by using an on-line demand tool, based on the current population density and the waste generation of a certain area of Comas. They apply a reverse zone distribution (RZD), a term introduced in this study, as a result of an adapted methodology and supported by new technology trends, such as the internet of things. The RZD's value chain has many similarities with a commercial one; however, it differs fundamentally in the attention to the citizen.