Problem Statement
Global supply chains depend on accurate, timely information about raw material movement and storage, particularly in less accessible areas. In raw material markets, volume changes are directly correlated with price volatility, making accurate and timely information essential for optimal trading decisions. However, traditional trade data and port statistics are often published on a monthly or quarterly basis, limiting their ability to reflect real-time market changes. Additionally, differences in data accessibility across countries hinder comprehensive global market analysis. This underscores the need for alternative data sources capable of rapidly detecting changes in raw material supply chains, enabling market participants to make more informed decisions.
How EO Helps
Satellite-based Earth observation (EO) provides an effective solution for assessment of raw material volumes. Optical and synthetic aperture radar (SAR) satellite data can track changes in raw material types and loading volumes at less accessible ports, warehouses, and logistics hubs with high frequency, providing real-time market insights.
- Identifying and Classifying Raw Material: EO enables the identification and classification of commodities such as minerals and agricultural products. By constructing a ground spectral library containing the unique spectral signatures of specific minerals and crops, spectral imagery analysis enhances classification accuracy. The integration of artificial intelligence (AI) and deep learning further automates the analysis of vast satellite datasets, efficiently identifying raw material types, distribution and trends.
- Estimating Volume and Analyzing Trends: EO helps to estimate material volumes by analyzing spatial coverage and pile heights in storage areas. Historical trends can also be analyzed to forecast future demand and supply patterns.
- Integrating with Supply Chain Data: EO helps to complement other data sources, such as IoT sensors and Automatic Identification System (AIS) data for vessels, creating a comprehensive view of material flows across supply chains.
- Monitoring Supply Chain Changes: EO technology integrates optical and SAR imagery to provide multi-day, weather-independent, timely monitoring. This enables futures market participants to access accurate data on raw material supply chain changes for rapid data-driven decision-making.
Economic Impacts | Environmental Impacts |
EO helps to increase market transparency, reducing speculative risks and fostering fairer pricing mechanisms. | By optimizing logistics and reducing unnecessary transportation, EO helps to reduce associated green house gas emissions. |
EO helps to enhance supply chain efficiency, enabling better logistics planning by identifying bottlenecks and optimizing material handling, reducing downtime and delays. | By supporting better inventory planning, preventing overstocking or spoilage, EO helps to reduce waste. |
EO helps to reduce operational costs, minimizing reliance on manual inspections and on-site audits, leading to cost savings for logistics and port operators. | By tracking raw material stockpiles to mitigate potential hazards, such as runoff from coal or ore storage, EO helps to monitor environmental risks such as contaminating nearby ecosystems. |
Case Study: Optimizing Scrap Metal Supply Chains with TelePIX's MetalSCOPE
The flow of scrap metal plays a crucial role in global commodity markets, serving as an indicator of industrial activity and economic volatility. TelePIX, a leading South Korean satellite total solutions provider, offers MetalSCOPE, an advanced solution that leverages high-resolution satellite imagery and AI-powered analytics to monitor scrap metal flows. Using deep learning algorithms, MetalSCOPE accurately segments scrap metal in storage yards at ports and estimates stockpile volume. This solution is delivered through a platform with a user-friendly interface, providing market participants with valuable insights into import/export patterns and inventory fluctuations.
