Demand Transfer Estimation at Scale via Restricted Logit Modeling
Quick summary
arXiv:2608.12680v1 Announce Type: cross Abstract: 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 determine the value of an objective function (i.e. expected demand) with respect to an assortment proposal. However, for large item universe with many categories, this approach can prove inefficient, needing a separate demand forecast for every possible item assortment. An alternate approach exists whereby we combine the efficiency of forecasting item demand independe
Key takeaways
- arXiv:2608.12680v1 Announce Type: cross Abstract: 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 determine the value of an objective function (i.e.
- expected demand) with respect to an assortment proposal.
Why it matters
“Demand Transfer Estimation at Scale via Restricted Logit Modeling” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.
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