An inventory model is the technique a firm utilizes to decide the optimal way to produce its products and it will help firms to manage charges and deliver products to consumers on time. EOQ (Economic Order Quantity) model is well known and commonly used inventory model. Growing products whose quantity and importance continuously rise over time, are currently produced by businesses like the cattle and poultry sectors. These are inspected to disparate between good and bad, before they are listed for sale. To identify these, the system goes through a complete scrutinize process that includes two types of errors. The inspector's error has been viewed as negative ergonomics while the inspector's ability to reduce scrutinize errors through learning has been regarded as a positive ergonomics. Therefore, in this study, we include learning in scrutinize errors which significantly impacts profitability. Consequently, it should be taken into consideration to prevent the major miscalculation of profit. To identify the best inventory strategy, a model is created that tries to increase the overall earnings and numerical example is provided to study the benefit of learning in scrutinize errors. Also, logistic and linear growth functions with inspection errors under learning effect using 3-Parameter Hyperbolic model are compared and we have found that logistic growth function gives better result than linear growth function.