A retail business relies on an ML model to forecast daily sales, which helps manage inventory across its stores. The model runs once every evening to generate predictions for the next day. It uses sales data from the past few days as input with a maximum payload size of 3.5 MB, and the prediction process completes within 60 seconds. What is the most suitable deployment option on Amazon SageMaker to meet these requirements?