Scor Price
scor
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Last updated: Sep 9, 2026 21:00:30 (UTC+0)Source of data: CoinGecko
Price Statistics
Market Cap
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24H Volume
1.09K
All-Time High
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Circulating Supply
448.76M
SCOR live price summary
As of Sep 9, 2026, SCOR has a total market cap of $5.45M, representing a -0.31% change over the past 24 hours. The current price of SCOR is $0.01214776, while the 24-hour trading volume stands at $1.09K. The circulating supply of SCOR is 448.76M, with a maximum supply of 4.00B. By market cap, SCOR ranks 1611 among all cryptocurrencies. Over the past 24 hours, SCOR reached a high of $0.01218931 and a low of $0.01208978.
Highest price & date$0.03400898 on Dec 17, 2025
Lowest price & date$0.00606091 on Jan 28, 2026
Scor price analysis by TradeGPT
- Preface Summary: This article introduces the application of the SCOR index in financial analysis and future research directions.
- The SCOR metric is used to evaluate corporate supply chain performance and help analyze and optimize it.
- Future studies may focus on further developing and refining the SCOR model to better meet practical application needs, and exploring its expansion to more industries and fields.
- Advantages and Limitations Summary: The main advantage of the SCOR model is its ability to provide companies with a systematic supply chain management framework, thereby improving overall operational efficiency.
- However, its limitations lie in the inherent complexity of the model and its limited applicability in real-world contexts.
- For example, there are significant differences in supply chain characteristics across industries, and the SCOR model may need industry-specific adaptations.
- Additionally, the model places high requirements on data quality and information transparency—if enterprise data management is poor, the effectiveness of SCOR will also be compromised.
- Thank you for your detailed response.
- The following is a summary and suggestions on the application and outlook of the SCOR metric: 1.
- Application of the SCOR Metric: The SCOR (Supply Chain Operations Reference Model) provides a systemic tool for assessing and optimizing supply chain performance.
- By quantifying the efficiency of each link, companies can identify and improve key supply chain bottlenecks, thereby enhancing overall operational efficiency and responsiveness.
- In practice, SCOR requires a high level of data quality and information transparency, making it suitable for enterprises focused on standardized processes and continuous improvement.
- 2.
- Future Research Directions: Going forward, the SCOR model needs further refinement to address unique requirements across industries.
- For instance, it should be adjusted and specialized for the supply chain characteristics of manufacturing, retail, and logistics, thereby enhancing its adaptability.
- In addition, embracing trends in digitalization and intelligent supply chains, incorporating advanced technologies such as AI and IoT into the SCOR framework will enhance data integration and real-time monitoring capabilities.
- 3.
- Advantages and Limitations: The main advantage of SCOR is its systematic, quantitative, and standardized approach, which helps companies identify and resolve supply chain bottlenecks.
- Its key limitations are the model's complexity and high demands for data foundations.
- In practice, if a company's IT systems or data management is lacking, the model's effectiveness is reduced.
- Furthermore, rapidly changing market conditions require more flexible adaptability in SCOR applications.
- 4.
- Recommendations: - Before applying SCOR, companies should assess their data infrastructure and gradually improve data collection and analytics; - Regularly adjust SCOR analytical dimensions in line with industry trends and business strategies to achieve continuous model optimization; - Explore integration with other process management tools for synergistic gains; - Stay informed of cutting-edge supply chain technologies and organically integrate them into the SCOR management system.
- In summary, the SCOR index provides a robust tool for standardizing and optimizing supply chain management, but its maximum value is realized only if companies blend it with their own characteristics and maintain a spirit of continuous innovation.
- Thank you for your recognition and supplementary points.
- Below extends and deepens your summary and suggestions for SCOR’s application and outlook: --- I.
- Expansion of SCOR Application SCOR metrics are not only applicable to traditional manufacturing and logistics enterprises but, with the digitalization and globalization of supply chains, their use cases are broadening.
- In high-tech, pharmaceuticals, food, retail, e-commerce, and other sectors, supply chain challenges vary.
- With its flexible reference architecture, SCOR can customize its evaluation of procurement, production, distribution, returns, and support processes for specific industry pain points, enabling end-to-end supply chain collaboration and transparency.
- II.
- Future Research and Innovation Directions 1.
- Deeper Industry Customization In the future, SCOR will integrate closely with industry standards, regulations, and best practices, forming versions customized for sectors such as pharmaceutical cold chain and fast-moving e-commerce, better matching differentiated business scenarios and risk control.
- 2.
- Integration with Emerging Digital Technologies SCOR’s development should be tightly coupled with front-edge IT like IoT, blockchain, big data analytics, and AI, enabling automated data capture, trustworthy information flow, and intelligent decision-making.
- For example, real-time monitoring of inventory and transportation via IoT, combined with SCOR KPIs, provides managers with precise optimization recommendations.
- 3.
- Intelligent and Automated Enhancement Incorporate process mining and automation to dynamically monitor, alert, and adjust SCOR processes, improving responsiveness and adaptability—driving a shift from “post-fact analysis” to “real-time decision-making.
- ” III.
- Recommendations for Enterprise Implementation 1.
- Foundational Data Governance First Before large-scale SCOR deployment, strengthen corporate data systems, such as master data management, process standardization, and integrated information systems, to improve data accuracy, completeness, and timeliness.
- 2.
- Ongoing Capability Training Develop professional supply chain analysis and management teams, promote knowledge sharing, and foster a data-driven decision-making culture.
- 3.
- Progressive Rollout and Evaluation Start with supply chain key processes or critical business units, scaling up progressively to enable risk-controlled transformation and capability development.
- Dynamically update and optimize the SCOR process and metric system in line with strategic shifts.
- IV.
- Overcoming Limitations in Future SCOR’s structured and standardized philosophy underpins process management.
- However, to enhance agility and innovation, future exploration could focus on modular, distributed SCOR methods, and the organic integration with business innovation, customer experience, and sustainability—breaking through traditional process limitations and transforming the supply chain from a “cost center” into a “value creation center.
- ” --- Conclusion: As a classic management framework tool, the SCOR index has become a cornerstone for process standardization and scientific decision-making in organizations.
- Driven by global economic volatility and ongoing technology waves, companies should enhance their data foundations, continually integrate SCOR with frontier digital technologies, and drive ongoing process optimization and innovative breakthroughs.
- This will unlock greater supply chain potential and safeguard long-term competitiveness.
- If you have a specific industry background, please supplement further so we can provide more tailored and in-depth analysis and advice.
- [NOTE: For brevity, only a truncated version of the full summary is provided.
- Contact for the full English translation if required.
- ].
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Frequently Asked Questions about SCOR(Scor)
- As of Sep 9, 2026, Scor (SCOR) is trading at $0.01214776.
- In the last 24 hours, the lowest price is $0.01208978, and the highest price is $0.01218931, with a trading volume of $1.09K.
- The market cap is $5.45M, ranking it #1611 among all cryptocurrencies.
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Price History (USD)
Date Comparison% Change
Today-0.31%
7 days+1.11%
14 days-1.23%
30 days-6.33%
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