Supply Chain Analytics

Supply Chain Analytics (SCA) assists UPL—as well as the MSU community—in making informed business decisions, using data generated through procurement and logistics activities. Analytics provided by the team guide day-to-day operations and process improvements using historical analysis and predictive modeling.

The SCA team works closely with university stakeholders to provide services such as demand forecasting, run-at-rate studies for critical supplies, and supplier diversity metrics for Spartan Impact reports. Our work ensures proper prioritization of resources, reducing cost to the university by identifying operational efficiencies.

Our Services

Supply Chain Analytics can work with your unit to better understand your supply chain, create dashboards for spend tracking, provide forecasting and predictive studies, and equip your team with the information needed to drive data-informed decision making. Email our team today for a consultation.

 

Spend Exploration

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SCA will complete a deep-dive exploration of your unit’s overall spend based on your specific criteria.

Predictions

Predictions
SCA uses can produce predictive models for a variety of scenarios, including forecasting future states.

Other Services

Other Services
SCA can help answer questions and run reports using data to which you may not have access.