You work as a data scientist for an online retailer with a few thousand short lifecycle products, such as seasonal or limited edition items. Over the past 5 years, your company has accumulated a substantial amount of sales data, which is stored in BigQuery. Your task is to develop a model that will predict monthly sales for each product with the primary objective of implementing a solution quickly and with minimal effort. Considering the available tools and the nature of the data, what approach should you take?