Retail Out-of-stocks in the Context of Centralized and Direct Delivery

Milićević, Nikola; Grubor, Aleksandar; Đokić, Nenad; Avlijaš, Goran

doi:10.7307/ptt.v30i1.2466

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…One of the key questions when retailers and their suppliers are deciding about distribution model is its influence on out-of-stock (OOS) in retail stores and at the same time on product availability level as the first assumption of their sale. Due to its crucial meaning for OOS, Milićević et al (2018) point out that in previous research there are different results -some favouring DSD, while others think that CD is resulting in lower OOS levels. In their research conducted in one Serbian retail company, DSD is resulting in lower levels of OOS probability while Životić and Pešić Radovanović (2013) made another research in Serbia and gained opposite results -CD increases product availability.…”

Section: Fig 1: Direct Store Delivery Distribution Modelmentioning

confidence: 79%

Causal Analysis of Retail Distribution System Change from Direct Store Delivery to Centralized Distribution

Dujak¹

2019

IBIMABR

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Section: Fig 1: Direct Store Delivery Distribution Modelmentioning

confidence: 79%

Causal Analysis of Retail Distribution System Change from Direct Store Delivery to Centralized Distribution

Dujak¹

2019

IBIMABR

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“…Incorrect product descriptions can lead to product returns and customer complaints, lower efficiency of supply chain operations, and additional work [10]. Inaccurate or insufficient product data negatively impacts the product itself and all processes related, causing disturbances in the supply chain, such as out-of-stock situations [11], although they may also occur due to inadequate delivery systems.…”

Section: Introductionmentioning

confidence: 99%

Impact of the Product Master Data Quality on the Logistics Process Performance

Božić,

Živičnjak,

Stanković

et al. 2024

Logistics

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Background: The importance of up-to-date product master data in the digital age should not be underestimated. However, companies still struggle to ensure high-quality product data, especially in the field of logistics. Hence, the focus of our research lies in the disregard of the importance of product data quality to the performance of logistics processes. Methods: The analysis of the influence of product data on the performance of logistics processes was carried out using data from two fast-moving consumer goods (FMCG) distribution and retail companies. Data were gathered via interviews, while process activities were timed using a stopwatch, and interruptions were documented. The significance of the impact was determined using inferential statistical procedures based on the variable and the measurement scale type employed. Results: The quality of product master data has a significant impact on the performance of logistics processes; while managers are aware of the complications, they lack the motivation to detect and analyse such inaccuracies. Conclusion: The findings enhance comprehension of the obstacles generated by inadequate product data in logistics, which obstruct optimisation, and offer numerical proof of the impact of product data quality on logistics performance, thus expanding the current body of research.

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Measuring the Effects of Automatic Replenishment on Product Availability in Retail Stores

2021

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Maintaining product availability is one of the biggest challenges in retail business because it directly relates to lost sale and decrease in customer loyalty. A solution that ensures a more accurate prediction and eliminates costly stock-outs and wasteful overstocks is an automatic replenishment system. The goal of this paper is to measure the impact that the automatic replenishment system can have on product availability in retail business, especially when it comes to specific product and store related risk factors. A large quantitative study measured the performance of manual and automatic replenishment processes in a sample of 85 stores and 95 products of a major retail chain in Serbia. The study concluded that utilization of an automatic replenishment system can reduce stock-outs for the retail chains up to 60%. Specifically, when ordered through an automatic replenishment system, fast-selling products recorded 40% greater availability, products on promotion 48% higher availability, and products in a high-density retail stores 59% higher availability. The findings extend current understanding of automatic replenishment systems, and especially their performance related to high-risk retail conditions.

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Retail Out-of-stocks in the Context of Centralized and Direct Delivery

Abstract: ABSTRACT

Cited by 3 publications

References 20 publications

Causal Analysis of Retail Distribution System Change from Direct Store Delivery to Centralized Distribution

Causal Analysis of Retail Distribution System Change from Direct Store Delivery to Centralized Distribution

Impact of the Product Master Data Quality on the Logistics Process Performance

Measuring the Effects of Automatic Replenishment on Product Availability in Retail Stores

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