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The Supply-Chain Optimization
E-book
This white paper delves into how ArangoDB's graph technology uncovers patterns within extensive datasets from varied sources.
Real-Time Demand Forecasting
ArangoDB’s real-time capabilities enable dynamic demand forecasting, incorporating real-time sales and customer data for precise inventory planning, crucial for fast-moving consumer goods and retail industries.
Hierarchical View of Complex Supply Chains
Rely on ArangoDB’s multi-model capabilities for hierarchical data representation, ideal for complex supply chain structures, like multi-tiered distribution networks in pharmaceutical and automotive industries. Streamline logistics and inventory management.
Advanced Analytics for Predictive Optimization
ArangoDB’s built-in graph algorithms enable predictive analytics for supply chain optimization, identifying supply chain bottlenecks, and suggesting efficient routes, benefiting industries like food and pharmaceuticals.
Graph Traversals for Supply Chain Optimization
More efficient graph traversals enable supply chain optimization, identifying optimal transportation routes, minimizing delays, and reducing operational costs in logistics-intensive industries. ArangoDB shines in this area, offering deeper and faster graph traversals than any other graph solution on the market today.
End-to-End Supply Chain Transaction Traceability
ArangoDB's transactional support ensures end-to-end traceability in the supply chain, recording every step from raw materials to the final product, vital for industries with stringent compliance requirements like healthcare and aerospace.
ArangoDB vs. Legacy Graph DBs
For Supply Chain Visibility & Optimization
ArangoDB For Single View of Anything | Neo4j & Others for Single View of Anything |
|
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Flexible Schema for Diverse Data | ||
Hierarchical Security | ||
Multi-Tenant Architecture | ||
Time-Series Data Management | ||
Geospatial Indexing |
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Free today
(no credit card required), and experience the shortest time to value for a hosted graph DB.
Read the
Case Studies
Learn why companies across industries are switching to ArangoDB for Graph.