AI-DRIVEN ACCOUNTING AND DYNAMIC PRICING STRATEGIES IN THE RESTAURANT INDUSTRY

Authors

Keywords:

Foodservice industry, intelligent systems, adaptive pricing models, expenditure analysis, machine learning algorithms, predictive demand analytics, economic viability, smart management, digital business transformation, data-driven decision making

Abstract

As the restaurant sector undergoes digital transformation, this study analyzes the efficiency of AI-powered systems in managing finances and optimizing prices. Through an examination of automated inventory control and adaptive pricing algorithms, the article demonstrates how AI reduces human error and responds to market fluctuations. The findings suggest that AI is no longer optional but a critical tool for enhancing restaurant ROI, streamlining operations, and maintaining a leading edge over competitors.

Published

2026-06-18

How to Cite

Ablakulova, S. G. kizi, & Ganiyev, I. M. (2026). AI-DRIVEN ACCOUNTING AND DYNAMIC PRICING STRATEGIES IN THE RESTAURANT INDUSTRY. THE INNOVATION ECONOMY, 2(02). Retrieved from https://ojs.qmii.uz/index.php/ej/article/view/1339

Issue

Vol. 2 No. 02 (2026): The innovation economy

Section

BUXGALTERIYA HISOBI, IQTISODIY TAHLIL VA AUDIT