Get qualified automatically after earning CSAI®
Chartered Supply Chain Artificial Intelligence Analyst (CSAI)®
The next wave of technology - artificial
intelligence (AI) - is already making sense of the
deluge of operational data streaming in from a plethora of devices and cloud applications. This technology is also applying advanced mathematics to create products, processes, and systems that can adapt and learn.
Machine learning capabilities apply algorithms to massive opera- tional data feeds to discover insights to track and predict supply chain disruptions, providing new levels of visibility into day-to-day operations. These capabilities can also recommend alternative ac- tions for unplanned events and transportation disruptions. Weath- er data integrated with operational data can predict potential problems and alert transportation and logistics service personnel with recommended actions.
Customer Support
1366 Gordon Heights Lane, Frisco TX 75033
+1-(833) 524-2846
info@aapscm.org
Fax : +1-(605)608-3078
Columbia, South Carolina Charter
450 Ganton C T. Blythewood, SC 29016
+1-(803) 998-2189
info@aapscm.org
Topics evaluated in CSAI®
- Machine learning in Supply Chain
- Machine learning (ML) techniques
- ML algorithms
- How to apply ML in demand forecasting, sales and operation planning (S&OP), and inventory management
- ML in production planning and predictive maintenance
- Forecasting
- Advanced analytics techniques using engine downtime predictive modeling example
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American Association of Procurement and Supply Chain Management (AAPSCM)®
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Machine learning in Supply Chain
1) Powering the planning revolution to Identify stock fluctuations.
2) Forecast trends and demands for products.
3) Detect excesses and shortages of assets in a store.
4) Optimize production planning.
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How to apply ML in demand forecasting, sales and operation planning (S&OP), and inventory management
1) Use cases of AI/ML in Supply Chain.
2) Ensemble Methods in Predicting customer’s behavior.
3) Genetic algorithms for improving delivery times and reducing costs.
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Forecasting
1) Demand Forecast and Fulfillment with AI.
2) Blockchain-backed immutability and trust.
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ML algorithms
1) AI solutions for Pain points in supply chain management.
2) Potential role of AI in the supply chain.
3)Necessary algorithms & Tools and framework.
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Machine learning (ML) techniques
1) Predict customer demand and optimize production planning.
2)Optimize routing decisions for vehicles.
3)Provide end-to-end visibility from suppliers to customers.
4)Automate order fulfillment.
![](https://aapscm.org/wp-content/uploads/2023/10/accept.png)
ML in production planning and predictive maintenance
1) Representation Leaning in Supply Chain.
2)Deep Reinforcement Learning in building effective supply chain optimization models.
![](https://aapscm.org/wp-content/uploads/2023/10/accept.png)
Advanced analytics techniques using engine downtime predictive modeling example
1) Predictive Monitoring and Techniques.
2)Exploring predictive analytics and test what-if scenarios
in analytics apps, with real-time calculations.
( Virtual | Online) CSAI® Preparation Workshop and Exam Fee:-
Time
1-3 Day Training
Fees
$1,200
Address
Dallas, Texas Charter and
Conference Center (AAPSCM)®
1366 Gordon Heights Lane, Frisco TX 75033
+1-(833) 524-2846
info@aapscm.org
Fax : +1-(605)608-3078
Instructor's
![](https://aapscm.org/wp-content/uploads/2023/12/Jason-Bio-Picture-1.jpg)