Optimizing Sales and Inventory Performance Using AI and Business Intelligence in POS Environments

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Author(s): Lal Tlan Sang (TODA PVC Co., Ltd., Samut Sakhon, Thailand), R.N. Ravikumar (Marwadi University, Rajkot, India), S. Aarthi (Marwadi University, Rajkot, India)and Thian Lian Ben (Marwadi University, Rajkot, India)
Copyright: 2026
Pages: 32
Source title: Harnessing AI for Point-of-Sale Optimization
Source Author(s)/Editor(s): Nozha Erragcha (University of Jendouba, Tunisia)and Maher Toukabri (Northern Border University, Saudi Arabia & University of Jendouba, Tunisia & Laboratory ARBRE, University of Tunis, Tunisia)
DOI: 10.4018/979-8-3373-4392-1.ch011

Keywords: Artificial Intelligence / Business Science Reference / Computer Science & IT / Operations and Service Management

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Abstract

This chapter explores how integrating Artificial Intelligence (AI) with Power BI enhances B2B Point-of-Sale (POS) operations through intelligent visualization and analytics. By transforming raw transactional data into actionable insights, Power BI dashboards enable real-time tracking of sales trends, inventory turnover, and regional performance. The analysis demonstrates improvements in sales forecasting accuracy by 27%, inventory efficiency by 21%, and decision-making speed by 35%. AI-driven analytics strengthen forecasting and stock optimization while promoting proactive decision-making. The study emphasizes the strategic value of Power BI in creating data-driven, agile, and efficient B2B ecosystems, establishing it as a key enabler of intelligent business operations and long-term competitiveness.

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Optimizing Sales and Inventory Performance Using AI and Business Intelligence in POS Environments

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