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Mathematicians. Engineers. Designers. Strategists.

Optimize your Supply Chain and

Procurement with Advanced Analytics

Optimize Global Trade

Procurement with

Advanced Analytics

Enhance risk management and decision-making with AI and ML for global trade.
Enhance decision-making
and risk management in global trade.
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Bespoke Products

Bespoke Products for Advanced Analytics

Accelerate ROI with
our Bespoke Products

Commodities Forecasting
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Trade Mapping
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Predictive Supplier Insights
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Enhanced forecasting accuracy ensures reliable back-testing and continuous improvement, minimizing risks and maximizing profitability. 
A customizable user interface with interactive data visualization makes complex data analysis accessible to users at all technical levels.

Commodities Forecasting using Quantum ML

This platform offers a robust suite for commodities trading and procurement, combining user-driven model development with access to expert predictive models. It enables advanced market analysis and strategic decision-making. Tailored consulting services help integrate the technology and workflows into your operations.
  • Procurement
  • Hedging
  • Budgeting
  • Trading
Empowering your commodities supply chain
with predictive analytics and AI-driven insights.
Dynamic vessel routing uses historical AIS data to improve shipping logistics and supply chain efficiency. Cloud-based scalability ensures optimal performance and robust security, while a distributed database offers fast, reliable access to vast trade data, meeting the needs of any organization.

Global Trade Analytics

Our platform integrates the COMTRADE dataset with external sources, such as shipping logistics and macroeconomic indicators, providing a 360-degree view of global trade. Advanced commodity analysis, including SITC codes for classifications, enhances forecasting capabilities.
Mastering Global Trade Dynamics
with QDT's Platform.
It also monitors the effectiveness of implemented actions, quantifying financial benefits from risk prevention and highlighting savings opportunities by reducing incidents related to quality and logistics.

Predictive Supplier
Insights

PSI uses AI to predict risks across a vast supplier network, analyzing over 150 data sources and 80 KPIs. This enables proactive risk management, ensuring continuity and efficiency in the supply chain. The platform generates AI-driven mitigation strategies, learning and improving over time based on success outcomes.
AI-Enhanced Supply Chain Resilience
Commodities Forecasting
Using Quantum ML
This platform offers a robust suite for commodities trading, procurement, and budget planning, combining user-
driven model development with access to expert predictive models and consulting. It enables advanced data evaluation, market analysis and
strategic decision-making.
Global Trade Analytics
Our platform integrates the UN COMTRADE dataset with external sources, such as shipping logistics and macroeconomic indicators, providing
a 360-degree view of global trade. Advanced querying tools, including
SITC codes for classifications,
enhances and streamlines analyst workflows
Predictive Supplier Insights
PSI uses AI to predict risks across a vast supplier network, analyzing over 150
data sources and 80 KPIs. This enables proactive risk management, ensuring continuity and efficiency in the supply chain. The platform generates AI-driven mitigation strategies, learning and improving over time based on 

success outcomes.

FAQs

QDT FAQ
Quantum ML
Trade Analytics FAQ
Trade Analytics
Commodities Forecasting FAQ
Commodities Forecasting
Supply Chain Solutions FAQ
Supply Chain Solutions
CME DataMine Machine Learning as a Service FAQ
CME DataMine ML
QDT Algorithms
01.
Who is QDT?
02.
What makes QDT's QML platform unique?
03.
How does QDT support marketing analytics?
04.
Can QDT's solutions be applied to supply chain management?
05.
How does QDT assist in commodities forecasting and analytics?
06.
What is the Data Mine Machine Learning Service in partnership with CME?
07.
How does QDT's technology support its solutions?
08.
What industries can benefit from QDT's solutions?
01.
What is Quantum ML?
02.
Why Quantum ML?
03.
Who can use Quantum ML?
04.
What can I use Quantum ML for?
05.
What is Automated Machine Learning?
06.
Why does Automated Machine Learning matter to me or my organization?
07.
How does Quantum ML work?
08.
What targets can Quantum ML forecast?
09.
How is Quantum ML hosted?
10.
How far into the future can Quantum ML forecast?
11.
Can I use my own data?
01.
What is QDT's Advanced Trade Analytics Platform?
02.
How does QDT ensure comprehensive data integration in its trade analytics?
03.
What unique features does the Advanced Trade Analytics Platform offer?
04.
How can organizations benefit from QDT's trade analytics solutions?
05.
Who can benefit from using QDT's Trade Analytics Platform?
06.
How does QDT's solution accommodate the analysis of global trade flows?
07.
What kind of support does QDT offer to users of its Trade Analytics Platform?
08.
Can the Trade Analytics Platform be customized to fit specific organizational needs?
09.
How does the platform handle data security and privacy?
10.
How can companies get started with utilizing QDT's Advanced Trade Analytics Platform?
01.
What makes QDT's commodities forecasting solutions unique?
02.
How does QDT ensure the accuracy of its commodities forecasts?
03.
Can users create their own predictive models for commodities forecasting on QDT's platform?
04.
What types of data does QDT use for commodities forecasting?
05.
How do QDT's solutions accommodate changes in market dynamics or unforeseen events?
06.
What consulting services does QDT offer to support commodities forecasting?
07.
How do QDT's forecasting solutions handle different commodities markets?
08.
How can businesses benefit from QDT's commodities forecasting solutions?
09.
Are QDT's commodities forecasting solutions suitable for both traders and analysts?
10.
How can companies get started with QDT's commodities forecasting solutions?
01.
What is QDT's approach to supply chain solutions?
02.
How does the Predictive Supplier Insights (PSI) platform work?
03.
What types of risks can QDT's PSI platform identify and mitigate?
04.
Can QDT's supply chain solutions be integrated with existing systems?
05.
How do businesses benefit from using QDT's supply chain solutions?
06.
What industries are best suited for QDT's supply chain solutions?
07.
How does QDT ensure the accuracy of its predictive analytics in supply chain management?
08.
What support and training does QDT offer for its supply chain solutions?
09.
How does QDT's PSI platform handle data privacy and security?
10.
How can companies get started with QDT's supply chain solutions?
01.
What is DataMine Machine Learning Service? 
02.
Why do I need DataMine Machine Learning Service?
03.
What is Automated Machine Learning?
04.
How does DataMine Machine Learning Service work?
05.
How is DataMine Machine Learning Service hosted?
06.
Who can use DataMine Machine Learning Service?
07.
Is DataMine Machine Learning Service also helpful for data scientists and other more advanced users?
08.
How much does DataMine Machine Learning Service cost?
09.
Can I get trial access to the DataMine Machine Learning Service?
10.
How many users can DataMine Machine Learning Service support?
11.
What financial instruments can DataMine Machine Learning Service build models for?
12.
How far into the future can DataMine Machine Learning Service predict?
13.
How often are the models updated?
14.
How many models can I build using the DataMine Machine Learning Service?
15.
How is model performance measured?
16.
How many machine learning algorithms does DataMine Machine Learning Service use?
17.
What is the Markets Page?
18.
What is the Forecast Page?
19.
What is the Strategy Simulator Page? 
20.
What is the Data Explorer Page? 
21.
Is the input data included in the license cost?
22.
What data is available through The Machine Learning Service?
23.
How are the CME Group Rolling Futures Indices calculated? 
24.
What frequency of data can/do the models use? 
25.
Can I use my own data?
26.
Can I build my own models?
27.
How are models trained?
28.
How are the models backtested?
29.
How do I assess model performance?
30.
Are my models saved?
01.
How does QDT ensure data quality and relevance in its QML platform?
02.
What is the Quantum Superforecasting (QSF) model, and how does it enhance Media Mix Modeling (MMM)?
03.
Can QDT's solutions handle large-scale data analysis and forecasting?
04.
What methodologies does QDT employ for predictive analytics and machine learning?
05.
How does QDT's Automated Machine Learning Engine (Quantum ML) streamline the model-building process?
06.
What support does QDT offer for custom model development?
07.
How does QDT's UI/UX Platform Architecture enhance the user experience?
08.
What security measures does QDT implement to protect data and user privacy?
09.
How does QDT's solution adapt to evolving market conditions or new data?
10.
How can businesses start utilizing QDT's machine learning and analytics solutions?
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