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title: "Large Behavior Model: A Promptable Digital Twin of the Retail Customer — Stuff That Spins"
description: "arXiv:2607.06993v1 Announce Type: new Abstract: Customer behavior modeling underpins recommendation, marketing, and decision support, yet existing approaches e…"
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date: "2026-07-09T04:00:00+00:00"
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# Large Behavior Model: A Promptable Digital Twin of the Retail Customer

**Source:** Unknown  
**Published:** July 9, 2026  
**Original:** https://arxiv.org/abs/2607.06993  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.06993v1 Announce Type: new Abstract: Customer behavior modeling underpins recommendation, marketing, and decision support, yet existing approaches either optimize predictive accuracy without explaining decisions or simulate users without grounding them in real behavioral data. We present the Large Behavioral Model (LBM) that learns customer decision making directly from large-scale retail transactions through a unified Person-Environment formulation. Customer state is represented by a

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