Smart Supply Chains Applying AI-Based Business Analytics for Operational Efficiency

Md Sakib Mia^1*, Md Iqbal Hossain², Ispita Jahan³, Niladry Chowdhury¹, Sonia Nashid⁴

The strategic advantages of long-term benefits surpass the current obstacles of implementation costs and limited workforce expertise.

Abstract

Background: The supply chain operations revolution through artificial intelligence brings predictive analytics together with immediate decision support and better resource allocation. The analytical functions of AI-based business systems enable improved demand forecasting and inventory optimization and optimized logistics and supplier management. The capabilities needed for operational efficiency in markets that are competitive and rapidly changing.

Methods: The study investigated 100 supply chain professionals working in manufacturing and retail and healthcare and e-commerce sectors. The research utilized a structured questionnaire to measure AI adoption together with its perceived benefits and operational impact. The study collected both quantitative data and qualitative data. The research used descriptive statistics to display trends while Pearson’s correlation coefficient analyzed the connection between AI adoption and operational success.

Results: The survey results revealed that 78% of respondents achieved better forecasting accuracy together with 65% experiencing shorter lead times and 72% seeing lower logistics costs after AI implementation. The correlation coefficient indicates that AI implementation creates strong efficiency gains (r = 0.82). Survey participants identified two additional advantages of faster decision processes along with improved supply chain resilience. Major obstacles emerged from the survey as 63% of participants faced high implementation costs while 57% struggled to find qualified personnel.

Conclusion: The implementation of AI-powered analytics functions as a powerful transformative force which enables smart supply chains to achieve significant cost efficiency and faster speed and enhanced agility.

Keywords: Supply Chain, Artificial Intelligence, Business Analytics, Operational Efficiency, Data-Driven Decision Making

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