Intelligent SAP Cold Chain Solutions: AI-Driven Quality Assurance, Real-Time Anomaly Detection, Compliance Monitoring and Zero-Downtime BMS Upgrades
Main Article Content
Abstract
This paper presents intelligent SAP cold chain solutions that leverage AI for quality assurance, anomaly detection, and compliance monitoring. Cold chain logistics involve temperature-sensitive products, where maintaining quality and regulatory compliance is critical. The proposed framework integrates AI and machine learning models within SAP systems to continuously monitor storage and transportation conditions, detect anomalies in temperature, humidity, or handling processes, and ensure adherence to regulatory standards. By providing predictive insights and automated alerts, the system enables proactive interventions, reducing spoilage, operational risks, and compliance violations. Experimental evaluations demonstrate improved detection accuracy, enhanced product quality management, and streamlined compliance reporting. This study highlights the potential of AI-driven SAP cold chain solutions to create secure, efficient, and resilient supply chain ecosystems, supporting both operational excellence and regulatory adherence.
Article Details
Section
How to Cite
References
1. Khanuja, G., Sharath D H, S., Nandyala, S., & Palaniyandi, B. (2018). Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics (SAE Technical Paper 2018 01 1201). SAE International. SAE International
2. Sugumar, Rajendran (2023). A hybrid modified artificial bee colony (ABC)-based artificial neural network model for power management controller and hybrid energy system for energy source integration. Engineering Proceedings 59 (35):1-12.
3. Konda, S. K. (2024). Zero-Downtime BMS Upgrades for Scientific Research Facilities: Lessons from NASA’s Infrared Telescope Project. International Journal of Technology, Management and Humanities, 10(04), 84-94.
4. Loisel, J., Cornuéjols, A., Laguerre, O., & Tardet, M. (2022). Machine learning for temperature prediction in food pallet along a cold chain: Comparison between synthetic and experimental training dataset. Food Control, 138, 108864. ScienceDirect
5. Gandhi, S. T. (2023). AI-Driven Compliance Audits: Enhancing Regulatory Adherence in Financial and| Legal Sectors. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 6(5), 8981-8988.
6. Komarina, G. B. ENABLING REAL-TIME BUSINESS INTELLIGENCE INSIGHTS VIA SAP BW/4HANA AND CLOUD BI INTEGRATION.
7. HY Lam, V. Tang. (2023). Digital transformation for cold chain management in freight forwarding industry. Journal of Transport & Supply Chain Management, 17, Article 13. SAGE Journals Note: While this is in early 2023, depending on your cutoff, it might be just within or slightly beyond pre 2023; you may choose to include or exclude based on strictness.
8. “Capgemini India.” (n.d.). Finding hotspots in cold chain logistics by using Design Thinking – Capgemini India. Capgemini. Capgemini Relevance: discusses using SAP Cloud Platform + IoT + ML models for supporting quality decision assistance in cold chain quality management. Capgemini
9. P. Chatterjee, “AI-Powered Payment Gateways : Accelerating Transactions and Fortifying Security in RealTime Financial Systems,” Int. J. Sci. Res. Sci. Technol., 2023.
10. Bangar Raju Cherukuri, "AI-powered personalization: How machine learning is shaping the future of user experience," ResearchGate, June 2024. [Online]. Available: https://www.researchgate.net/publication/384826886_AIpowered_personalization_How_machine_learning_is_shaping_the_future_of_user_experience
11. GUPTA, A. B., et al. (2023). "Smart Defense: AI-Powered Adaptive IDs for Real-Time Zero-Day Threat Mitigation."
12. “HORTIM / ANASOFT.” (n.d.). Case Study: Intelligent Cold Chain Management. ANASOFT. anasoft.com Relevance: food distribution, dynamic logistics, AI, IoT, digital twin; managing perishable fresh produce.
13. “Food Supply Chains with IoT based Transportation Management Software.” (2021). SAP India News Center. SAP News Center Covers IoT for real time temperature tracking and warehouse/storage monitoring, integrated in food supply chains, not necessarily deep ML or SAP cold chain module detail. SAP News Center
14. Nallamothu, T. K. (2024). Real-Time Location Insights: Leveraging Bright Diagnostics for Superior User Engagement. International Journal of Technology, Management and Humanities, 10(01), 13-23.
15. Arul Raj A. M., Sugumar R. (2024). Detection of Covid-19 based on convolutional neural networks using pre-processed chest X-ray images (14th edition). Aip Advances 14 (3):1-11.
16. “Cold Chain Management : Transporting perishable products.” (2011, May 25). SAP Community Blog. SAP Community Relevance: defines the problems in cold chain (monitoring, maintaining environmental conditions), but low on ML / SAP + ML integration detail.