zakkipuar23 / shipper_and_aws_hackathon

Put-away is one of the most crucial process in supply chain. If we misplace the goods, all of the rest process could be potentially delayed. That's why we choose this process to be improved by multiclassification machine learning model and dashboarding with AWS.

Put Away Process Improvement

This was my team submission when we join hackathon that was held by Shipper and AWS

FYI, Shipper is one of the logistics & warehouse aggregator in Indonesia that provides reliable freight and co-warehouse service.

The hackathon was held with objective to create warehouse solution from their current real problem, by utilizing AWS. We should delivered the solution within 48 hours

For more detail information of the problem, please read the pdf file with name "Shipperhack-Participants Brief" and find our proposed solution in pdf file with title "Put Away Process Improvement"

My role is a data scientist with task :

• criticize business process and find a potential improvement.
• created monitoring dashboard of put-away process by utilize AWS Quicksight
• create machine learning model by utilize Amazon SageMaker