When looking to provide a full analysis of the current state and to provide recommendations for optimization and abilities to maximize profits, all three categories of data referenced are going to play a key role while taking into consideration the additional considerations $($like the supply chain maximum, products needed per unit$)$ and constraints placing a maximum production by type.

I would begin with completing analysis of the sales performance. Considering the distributor is a key category that impacts sales and cost association with logistics; I would be sure to run analytics with the distributor and product types in mind to understanding the current sales performances between the different distributors and types of wines. Understanding sales should help with understanding current production to generate sales and the logistics needs to best support these distributors demands. When considering optimization, possible consideration is there a timing adjustment that could occur within the logistics scheduling for cost save opportunity? While there is a needed shelf line to produce the wine, what is the maximum shelf$-$life while it remains in inventory? These are some additional elements for consideration when trying to provide strategy in order to optimize production model to maximize profits.