The increasing digitization of supply chain management necessitates innovative platforms that enhance efficiency, transparency, and collaboration among all stakeholders. This paper introduces a web-based platform designed to streamline logistics operations by providing distinct functionalities for warehouse handlers and general users. The system empowers warehouse handlers with robust, real-time inventory management tools, allowing for the immediate addition, editing, and modification of stock levels, with changes instantly reflected for all connected users. The platform also fosters a collaborative environment by integrating a communication module that enables direct chat functionality between individual users and facilitates connections between users and warehouse personnel. This dual-role architecture, combining real-time inventory control with seamless communication, addresses key challenges in modern supply chains by improving data accuracy and fostering direct engagement between participants. Our system demonstrates a practical application of digital transformation in logistics, creating a more responsive, interconnected, and efficient supply chain ecosystem.
Introduction
Supply chain management (SCM) has evolved from logistics focused on military and goods movement during the Industrial Revolution to a strategic business function driven by globalization, technology, and changing consumer expectations. Modern SCM emphasizes resilience, sustainability, and operational efficiency, supported by advanced technologies like IoT, AI, blockchain, and big data. These tools improve real-time monitoring, security, transparency, collaboration, and decision-making while reducing risks and response times.
Methodology:
The proposed system is a web-based smart logistics platform integrating three core components:
Data Integration: Structured real-time inventory, warehouse, and forwarder information.
Security: Multi-factor authentication, encryption, and secure access.
User Accessibility & UX: Responsive frontend with search, filter, and mobile optimization; backend supports real-time data updates, inventory management, and stakeholder communication.
System Features:
Real-time monitoring of inventory and shipments via IoT sensors.
Secure, tamper-proof transaction records using blockchain.
AI-driven demand forecasting and decision-making.
Big data analytics for performance improvement and pattern recognition.
Cloud-based architecture enabling scalability and stakeholder collaboration.
Results:
The platform provides efficient, transparent, and resilient supply chain operations. Real-time tracking reduces delays, ensures accurate inventory management, and enhances communication among suppliers, manufacturers, distributors, and customers. The integration of digital tools streamlines logistics, optimizes decision-making, and supports competitive advantage in global markets.
Conclusion
In conclusion, the proposed system is a complete package that would transform logistics and supply chain operations. It serves modern-day issues of operational complexity, cybersecurity hacks, and delivery time tariffs that have given way to a more robust and flexible supply chain. The system thus provides organizations with an innovative approach to sustainable supply chain practices commensurate with the global demands for environmental accountability. The system thus empowers organizations with cost-effective and security-centric supply chain management and becomes thus strategically positioned for a long-term success in a competitive and ever-changing global market.
References
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