Marine kitchen supply order optimization

Problem: Large ocean vessels have variable crew size, variable routes and a manual cooking resupply process. As manual process does not take into account all available data like current stock, suppliers location and prices, expiration and storage limits - it produces excess waste and unnecessary resupply events.
Input: Crew count per each day, current stock, static normalized menu table, suppliers price lists per port, route table, custom crew orders.

Output: A table of optimal item, volume, supplier, port.
Integration: Custom Python-based connector with Marine ERP system running as a service in AWS cloud.
Time to implement: 10 hours + integration time

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