From Counters to Self-Checkouts: A Systematic Review of Factors Affecting Operational Efficiency in Retail Automation

Abstract— The Self-Checkout System (SCS) is a key element of retail automation, designed to improve operational efficiency and enhance customer convenience. This systematic literature review synthesizes insights from 16 peer-reviewed Q1/Q2 studies published between 2020 and 2025, leading to the identification of four critical factors influencing efficiency: technological design, user behavior, organizational preparedness, and workforce impact. The findings suggest that a combination of advanced perception technologies (e.g., AI vision, depth cameras), user-centered interface design, process reengineering, and comprehensive staff training, including cross-training for hybrid support roles, plays a pivotal role in shaping outcomes. Recent research also highlights emerging adoption drivers such as reduced stigma around sensitive purchases, increased privacy awareness, and shifting dynamics of customer empowerment. Efficiency is not an inherent attribute of the system alone, but rather the result of interactions among technology, users, and institutional contexts. Retailers and policymakers are encouraged to pursue integrated design approaches that holistically align technological innovation, store operations, and human labor.

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Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-09-29
DOI
https://doi.org/10.51583/ijltemas.2025.1409000019
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

From Counters to Self-Checkouts: A Systematic Review of Factors Affecting Operational Efficiency in Retail Automation

Leah Mae Sabas, Shadi Ebrahimi Mehrabani
International Journal of Latest Technology in Engineering Management & Applied Science
Consumer Retail Behavior Studies
article

From Counters to Self-Checkouts: A Systematic Review of Factors Affecting Operational Efficiency in Retail Automation

Leah Mae Sabas, Shadi Ebrahimi Mehrabani
article en

Abstract

Abstract— The Self-Checkout System (SCS) is a key element of retail automation, designed to improve operational efficiency and enhance customer convenience. This systematic literature review synthesizes insights from 16 peer-reviewed Q1/Q2 studies published between 2020 and 2025, leading to the identification of four critical factors influencing efficiency: technological design, user behavior, organizational preparedness, and workforce impact. The findings suggest that a combination of advanced perception technologies (e.g., AI vision, depth cameras), user-centered interface design, process reengineering, and comprehensive staff training, including cross-training for hybrid support roles, plays a pivotal role in shaping outcomes. Recent research also highlights emerging adoption drivers such as reduced stigma around sensitive purchases, increased privacy awareness, and shifting dynamics of customer empowerment. Efficiency is not an inherent attribute of the system alone, but rather the result of interactions among technology, users, and institutional contexts. Retailers and policymakers are encouraged to pursue integrated design approaches that holistically align technological innovation, store operations, and human labor.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(9)
Interface Biologics (Canada) (CA), IBM (Canada) (CA)
Openalex Percentile: Top 66%
Consumer Retail Behavior Studies
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From Counters to Self-Checkouts: A Systematic Review of Factors Affecting Operational Efficiency in Retail Automation — Leah Mae Sabas, Shadi Ebrahimi Mehrabani · International Journal of Latest Technology in Engineering Management & Applied Science (2025) | TGRS Research Map | TGRS