3 papers
cs.LG2026
Demand Transfer Estimation at Scale via Restricted Logit Modeling
Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4
Item demand forecasting is an integral component of store assortment optimization. Existing literature focuses on learning a suitable customer choice model and using this model to…
cs.AI2026
Lines and Ladders: A Context-Aware Multi-Agent Framework for Large-Scale Retail Price Taxonomy
Ravi Teja Chunduri, Srikaran Reddy Boya, Deep Narayan Mishra +3
Maintaining price consistency and executing an Every Day Low Price strategy is critical for global retailers. However, with catalogs spanning millions of active items, manual gover…
cs.LG2026
Monodense Deep Neural Model for Determining Item Price Elasticity
Lakshya Garg, Sai Yaswanth, Deep Narayan Mishra +3
Item Price Elasticity is used to quantify the responsiveness of consumer demand to changes in item prices, enabling businesses to create pricing strategies and optimize revenue man…