In this podcast episode, a team discusses their work optimizing a shelf space for a new product line with the help of AI technology. The team applies merchandising constraints, such as "item pairing," to the shelf space to see the potential impact on revenue. The team runs five different scenarios to understand the impact of these constraints on revenue, focusing on item pairing in particular. The team discovered that applying product orientation and front-facing rules did not significantly impact revenue potential. The team highlights the importance of taking an insight-driven approach to analyzing multiple scenarios to create a final assortment strategy that meets necessary constraints while maximizing revenue potential. The team also emphasizes the power of AI technology in allowing for analyzing a greater number of scenarios and discovering new revenue opportunities.