Analysis and Prediction of Delivery Reliability in the Retail Sector

Analysis and Prediction of Delivery Reliability in the Retail Sector

Robert SZCZUR, Patrycja GUZANEK, Anna BORUCKA

Abstract. This study analyzes delivery reliability in the retail sector, focusing on delivery completeness and losses over time. Using descriptive statistics, ANOVA, the Kruskal-Wallis test, and Tukey’s post-hoc comparisons, the research found no significant monthly or seasonal variations. The correlation between order volume and delivery completeness was also insignificant, indicating that disruptions are incidental rather than cyclical. These results suggest that risk management should focus on identifying and eliminating one-off issues, while stable logistics processes provide a solid basis for continuous improvement in supply chain performance.

Keywords
Delivery Reliability, Retail Logistics, Delivery Completeness, Loss Rate

Published online 1/25/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Robert SZCZUR, Patrycja GUZANEK, Anna BORUCKA, Analysis and Prediction of Delivery Reliability in the Retail Sector, Materials Research Proceedings, Vol. 62, pp 311-317, 2026

DOI: https://doi.org/10.21741/9781644904015-40

The article was published as article 40 of the book Terotechnology XIV

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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