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Research Article | Open Access

StoreSketcher: An interactive framework for planning commercial retail scene layout

Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
School of Artificial Intelligence, Beijing Normal University, Beijing 100084, China
Department of Computer Science and Technology, University of the Chinese Academy of Sciences, Beijing 100084, China
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
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Abstract

Retail space planning, arranging store sections and product placements to optimize customer flow and stimulate purchases helps retailers to increase sales and enhances the customer shopping experience. It can be challenging for retailers to arrange numerous products within limited shelf space. This paper introduces StoreSketcher, an interactive tool that assists retailers in planning retail layouts efficiently at macro and micro levels by providing intelligent suggestions. We have extracted commercial relationships between products and categories, built spatial rules for commercial objects, and developed an interactive framework for synthesizing retail layouts. When the user points to shelf space in the layout, StoreSketcher evaluates the spatial significance of the location and its commercial relation to the surrounding context to present appropriate suggestions. Quantitative experiments demonstrate that StoreSketcher significantly assists in planning well-organized retail layouts. The suggestions provided by StoreSketcher not only boost cross-selling and impulse purchasing for retailers, but also enhance product findability for customers.

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Computational Visual Media
Pages 395-416

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Cite this article:
Tam H, Zhang S-K, Jin Y, et al. StoreSketcher: An interactive framework for planning commercial retail scene layout. Computational Visual Media, 2026, 12(2): 395-416. https://doi.org/10.26599/CVM.2025.9450450

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Received: 23 February 2024
Accepted: 24 June 2024
Published: 20 March 2026
© The Author(s) 2026.

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

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