Performance-Based Shelf Space Plan Evaluation for Enhanced Retail Efficiency

Abstract

Purpose: The purpose of this paper is to introduce a performance-based planogram evaluation method to address the gap in research regarding the effectiveness of planogram implementation over time and across different retail stores. Methodology: The study employs Mamdani Fuzzy Rule-Based Systems (FRBS) to manage uncertainties in planogram planning and execution. The methodology involves defining evaluation criteria, gathering data from literature and expert opinions, and processing this data through fuzzy operators within the FRBS. Findings: The performance-based planogram evaluation method offers a nuanced perspective beyond traditional conformance-based evaluations. The Mamdani FRBS allows flexibility in adjusting the shelf layout based on real-world conditions, improving the understanding of planogram performance over time and across locations. Originality: This paper introduces a fuzzy rule-based system for planogram evaluation, capturing retail environment uncertainties. The framework provides a novel approach to evaluating planogram performance, offering valuable insights for enhancing retail operations and customer experience. The performance-based evaluation score enables informed decision-making that aligns with planning goals.