Effect of AI-Inventory Management on Supply Chain Performance of Large Supermarkets in Nairobi City County, Kenya

Dr. Reuben Musyoka Mwove and Charles Katua Kithandi
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Dr. Reuben Musyoka Mwove: Daystar University
Charles Katua Kithandi: Daystar University

African Journal of Commercial Studies, 2026, vol. 7, issue 1

Abstract: Supermarket supply chains face numerous challenges, including ineffective inventory management resulting in stockouts or overstocking, unpredictable demand, shifting consumer expectations, disruptions from external factors such as labor issues, rising operational costs, and the increasing need for technology integration. This study sought to examine the effect of Artificial Intelligence (AI)-based inventory management on supply chain performance among large supermarkets in Nairobi City County, Kenya. The study was anchored on the Hybrid Intelligence Model as the guiding framework for artificial intelligence applications. The Triple Triangle Constraint Theory was used to explain supply chain performance, while the Technology Acceptance Model provided a framework for linking artificial intelligence adoption and supply chain performance. The study adopted a descriptive research design. The population comprised employees working in the supply chain departments of ten large supermarkets in Nairobi City County, Kenya. A sample size of 70 employees was selected. Primary data were collected using structured questionnaires and analyzed using SPSS version 30. Inferential statistics revealed that AI-based inventory management had a statistically significant positive effect on supply chain performance with R² = 0.913 and p

Keywords: Artificial Intelligence; Inventory Management; Supply Chain Performance; Hybrid Intelligence Model; Technology Acceptance Model; Supermarkets (search for similar items in EconPapers)
JEL-codes: C88 L81 M11 O33 (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cwk:ajocsk:2026-16

DOI: 10.59413/ajocs/v7.i1.16

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