Project Info:

This work consists of creating an Azure ML predictive model to accurately predict an origin facility with a 90% accuracy threshold for all FedEx Ground packages. This solution works via a streaming data pipeline when Electronic Package Detail Information (EPDI) information is submitted by the shipper. This solution increases efficiency across a network of 700 warehouses, by allowing for greater routing capabilities of understanding which packages need to be prioritized to meet service commit dates.

Project Details:

• Technologies:GCP - Vertex AI, Google BigQuery, Microsoft Azure, Databricks, MlFlow, Scikit Learn, XGBoost
  
• Quantified Impact:6M+ in estimated annual savings and 200k daily capacity gain in warehouse network (upon producitonalization)
• Date:Aug. 2022 - May 2023