Older adults comprise the fastest growing segment of both the population and e-commerce users. With many older adults being particularly at risk the during pandemic, online shopping has evolved to become a necessity for many. However, the natural process of aging and its associated cognitive and physiological changes puts older adults at a disadvantage and makes them more susceptible to harmful decision biases, which are detrimental to their decisions and experience. This study examines how age interplays with other individual difference factors to impact the quality of e-commerce decisions using a combination of psychometric and neurophysiological methods. The main objective is to devise interventions that ultimately help older adults make higher quality decisions and improve their e-commerce experience.