Optimizing retail grocery inventory using AI and large language models: Evidence on forecast accuracy, waste reduction, and cost efficiency

Authors

• Robert Miller, St. Mary's University
• Stephen Garcia, St. Mary's University
• Brandon Ermis, St. Mary's University

Files

Contributor

Swain, Ajaya (Faculty Mentor)

Digital Publisher

Digital Commons at St. Mary's University

Publication Date

Spring 2026

Keywords

Grocery stores, Inventory tracking, Artificial Intelligence (AI), Large Language Models (LLMs), Forecasting, Waste reduction, Cost efficiency

Description

Aim: To evaluate how AI and LLMs improve forecasting accuracy, reduce waste, and enhance inventory decision-making

Format

PDF

Size

1 poster

City

San Antonio, Texas

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.