Decayable item inventory model with cost-dependent demand and stocks under inflation to handle supply chain issues. The market and supply chain have suffered greatly as a result of the COVID-19 epidemic. In order to recover the post covid-19 disruptions, a model based on specific events becomes necessary. This article describes the development of an inventory model for non-instantaneous deteriorating commodities under inflation, where shortages are allowed and are presumed to be somewhat backlogged. The product’s stock and pricing have an impact on demand. This study’s main goal is to develop a recovery model that will raise overall average profit. The selling price and the overall cycle time are used as choice variables in this study. The graphical technique in Mathematica is used to determine the maximum average profit and the ideal values of the decision variables. The relationship between total profit and the choice variables is depicted in graphs. It has been noted that when the selling price increases, the total profit increases as well before declining once it reaches a particular price point. Additionally, the total profit rises in tandem with the rate of inflation. Sensitivity analysis has been carried out to examine the effects of various parameters on the best solutions, and numerical examples are provided to explain the model. The over all profit has been found to be least responsive to the backlog parameter and highly sensitive to the fundamental demand.