Perishable products like cut flowers, fruits, and vegetables have a limited shelf-life. At the moment there exists no objective tool to predict the shelf-life of the processed products in the logistic chain on a product or charge level. This innovative application can solve this issue. It allows the online prediction of the shelf-life on a product or charge level while the product is processed in the logistic chain. It is based on the continuous or repeated measurement of the stress indicator and plant hormone ethylene throughout the logistic chain. Based on those values the changes in the plant response due to the logistic processes can be observed and our smart algorithm is able to predict the future behavior (shelf-life) of the product.