PulseAugur
EN
LIVE 07:48:11

StoBasket optimizes retail upsell and cross-sell offers for maximum profit

By PulseAugur Editorial · [1 sources] ·

Researchers have developed StoBasket, a novel formulation for optimizing joint upsell and cross-sell offers in retail recommendation systems. This approach aims to maximize contribution margin by considering the incremental profit from both replacing existing items and adding new ones, a departure from previous methods that treated these independently. Simulations on public datasets, including Instacart data, show StoBasket captures nearly all attainable offer margin, significantly outperforming existing recommenders and heuristics by up to 52% and 10.2% respectively. AI

RANK_REASON The item is a research paper submitted to arXiv detailing a new optimization formulation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

StoBasket optimizes retail upsell and cross-sell offers for maximum profit

How we ranked this

Signal score
20 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item is a research paper submitted to arXiv detailing a new optimization formulation. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xin Heng ·

    StoBasket: Joint Upsell and Cross-Sell Optimization for Contribution Margin

    arXiv:2610.22768v1 Announce Type: new Abstract: Retail recommenders rank relevance, but retailers earn contribution margin: an upsell earns the margin difference over the item it replaces, whereas a cross-sell earns its full margin. We introduce joint stochastic basket editing, a…

RELATED ENTITIES

RELATED TOPICS