You are a Machine Learning Engineer working on a Neural Network project aimed at predicting housing prices. The dataset provided includes features such as square footage, number of bedrooms, and age of the property, each with varying ranges. During the model training phase, you observe that the gradient optimization process is inefficient, struggling to converge to an optimal solution due to the disparate feature scales. The project has tight deadlines and a limited budget, requiring a cost-effective and timely solution. What is the most effective action to take to address this issue? (Choose one correct option)