AMOR aims to be a leading research centre for curiosity driven, groundbreaking and innovative research at the intersection of applied mathematics, artificial intelligence (AI), statistics, and operational challenges in business and industry.
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.
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.
Reitan Retail has partnered with BI Norwegian Business School to launch a groundbreaking research project aimed at developing solutions to reduce emissions and food waste within the grocery sector.
