Center for Applied Mathematics and Operations Research

About AMOR Retail

AMOR Retail applies advanced mathematical, statistical, and AI-driven methods to tackle key operational challenges in retail. Its research focuses on demand forecasting, inventory optimization, and supply chain efficiency using big data and modern analytics.

The group also explores sustainable logistics, minimizing carbon footprints through optimization. Close industry collaboration ensures rigorous, practical solutions, bridging the gap between research and real-world retail challenges.

Current project: Smart Food Flow (Smart Matflyt)

Smart Food Flow is an interdisciplinary research initiative at BI Norwegian Business School that combines techniques from stochastic analysis, machine learning, operations management, and optimal transport theory to develop models that both reduce greenhouse gas emissions and food waste in the grocery industry.