AAPSCM® Training Virtual – Chartered Supply Chain Artificial Intelligence Analyst (CSAI)®

  /  AAPSCM® Training Virtual – Chartered Supply Chain Artificial Intelligence Analyst (CSAI)®

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

106 Martingale Trl Oak Point, TX 75068

+1-(833) 524-2846


Fax : +1-(605)608-3078

Columbia, South Carolina Charter

450 Ganton C T. Blythewood, SC 29016

+1-(803) 998-2189


Topics evaluated in CSAI®

American Association of Procurement and Supply Chain Management (AAPSCM)®

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.

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.


1) Demand Forecast and Fulfillment with AI.
2) Blockchain-backed immutability and trust.

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.

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.

ML in production planning and predictive maintenance

1) Representation Leaning in Supply Chain.
2)Deep Reinforcement Learning in building effective supply chain optimization models.

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:-


1-3 Day Training




Dallas, Texas Charter and Conference Center (AAPSCM)® Hall 5
106 Martingale Trl Oak Point, TX 75068


Jason matyus

Career spans many disciplines. I started out as a public-school teacher. After leaving teaching I worked for 20 years as a business professional working for two Fortune 500 Companies. Within those 20 years, I had varying roles that touched Project Management, logistics and Supply Chain, Procurement, Corporate Trainer, and Leadership. After receiving my MBA in Leadership and my Doctorate in Business Management I have spent the last 5 years in higher education. In addition to my work in business, I have been on the Board of Directors for Cornerstone Care and the Carmichaels Area School District Board of Education. I currently serve on the Farmville Urban Development Board.