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Graph Databases

Supply Chain Optimization

Graph databases offer superior capabilities in visualizing and analyzing supply chain operations, from production to delivery, ensuring efficient resource use and quick adaptation to market changes.
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How to Leverage Graph Databases for Supply Chain Optimization?

Introducing graph databases to organizations should be backed by a strong business case and feasibility study demonstrating that traditional data sources can deliver a different level of integration and insight. Graph databases effectively combine information from ERP, WMS, and SCM systems. Starting small, proving value, and having a clear plan for further development are essential to ensure success.

Real-time visibility

Graph databases provide real-time insights into the entire supply chain, allowing businesses to monitor and track the movement of goods at every stage, from production to delivery. This ensures transparency and timely decision-making.

Production lineage tracking for batches and materials

Tracking the genealogy of batches and materials provides detailed histories of production processes, components, and sub-components. Monitoring raw materials to final products across multiple sites creates a complex hierarchy. Traditional databases struggle with traversing and analyzing this structure, but graph databases handle it seamlessly, ensuring comprehensive traceability and accountability.

Routes and logistics

Graph databases can model complex logistics networks to identify the most efficient routes for transportation. This optimization reduces costs, saves time, and minimizes fuel consumption.

Enhanced risk management

By mapping out all suppliers, manufacturers, and logistics partners, graph databases help identify potential risks and vulnerabilities within the supply chain. This enables proactive risk mitigation and contingency planning.

Graph databases are particularly well-fitted for supply chain optimization because they naturally model and analyze complex relationships and hierarchies within the data. Their model extensibility allows for easy adaptation to new requirements and changes. Unlike traditional databases, they can efficiently handle and traverse intricate networks of suppliers, products, and logistics, providing real-time insights and enabling quick adaptations to market changes. This unique capability ensures seamless integration, enhanced visibility, and improved decision-making throughout the supply chain.

Overview

Unlike traditional databases, which use tables to store data, a graph database represents data as nodes and edges. This graph technology has been a game changer in optimizing supply chain operations and improving inventory management. By integrating supply chain data from ERP, WMS, export data, quality and compliance documents, and more, graph data can create a 360-degree graph visualization of complex supply chains. With this increased visibility, organizations can more easily identify and prevent supply chain disruptions and find efficient routes for transportation. Ultimately, graph databases can help organizations reduce costs, improve efficiency, enhance risk management, and improve supply chain management as a whole.

Experts in the field

Wojciech Naumienko
Chief Solutions Architect
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