AI-Powered SAP Supply Chain Management for Customer Responsiveness with Data Privacy and Sign Language Interpretation
DOI:
https://doi.org/10.15662/IJRAI.2022.0506006Keywords:
AI-powered supply chain, SAP SCM, Customer responsiveness, Data privacy, Privacy-preserving AI, Machine learning, Deep learning, Sign language interpretation, Accessibility, Inclusive digital transformation, Predictive analyticsAbstract
This paper presents an AI-powered framework for SAP supply chain management (SCM) that enhances customer responsiveness while ensuring data privacy and inclusivity through sign language interpretation. Modern supply chains generate large volumes of sensitive customer and operational data, necessitating strict compliance with data protection regulations. The proposed system integrates machine learning (ML) and deep learning (DL) models to predict demand, optimize inventory, and streamline order fulfillment, while leveraging privacy-preserving techniques such as differential privacy, federated learning, and secure data handling. In addition, AI-driven sign language interpretation modules are incorporated into customer interfaces to improve accessibility for hearing-impaired users, promoting inclusive digital engagement. The framework demonstrates how secure, intelligent SCM systems can simultaneously improve operational efficiency, maintain regulatory compliance, and support accessibility, creating a resilient and customer-centric supply chain ecosystem within SAP environments.
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