Team Name PC Cake Track Retail Use Case Retailers forecast sales, but rarely anticipate the packaging footprint that comes with them. Our use case focuses on connecting sales forecasting with carbon footprint tracking in the retail beverage sector. We developed a practical solution that predicts product sales while estimating the environmental impact through CO₂ emissions and Extended Producer Responsibility (EPR) fees tied to packaging materials. This approach allows planners to see how business decisions affect both financial and environmental outcomes. Using an interactive SAS Viya dashboard, they can track emissions, monitor EPR costs, and test future scenarios—helping the business plan more sustainably while staying competitive. Technology SAS Viya Model Studio, SAS Viya Visual Analytics, SAS Studio, Python, SQL Region North America Team lead Grace Zhang  @grace31  Team members Cindy Li @xxindyy  Pawan Simha @qwerty11  Social media handles   Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise     Jury Video   Pitch Video   Team Photo ... View more