A 2026 preprint points grocery sellers toward timing-aware repurchase questions—not a validated playbook

The paper, “Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival Models for Multi-Surface Grocery Recommendation,” is listed as a 2026 preprint in the arXiv cs.AI Daily Feed.

The listed authors are Akshay Kekuda, Shreeranjani Srirangamsridharan, Ishan Bhatt, Yanan Cao, Sinduja Subramaniam, Evren Korpeoglu, Kaushiki Nag, and Kannan Achan.

The available claim identifies survival models, repurchase prediction, and multi-surface grocery recommendation as the paper’s subject areas.

The evidence is bibliographic metadata only; no abstract, body text, PDF, quotation, method, sample, result, or causal claim is available.

If the paper’s approach proves useful after review and replication,