Have developed a flow that uses the Optimization Tool to select product SKUs to go in multiple displays based on size and door clustering characteristics. The current process does this by coding in Python. For most scenarios, it runs quite quickly - 30 seconds or less to generate a solution - but for others it might run 24 hours and still not generate a solution.
The guy that wrote the Python coding said they ran into a similar issue, and solved it by setting a time limit on the program and outputting whatever non-optimized solution the program had generated to that point - in most cases, that's still a good solution. Is anyone aware of whether a similar approach is possible with the Optimization Tool - setting a time limit and (critically) getting a not-fully-optimized output? Thanks!
