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American Certified Supply Chain Artificial Intelligence Analyst (ACSAI)®

  /  American Certified Supply Chain Artificial Intelligence Analyst (ACSAI)®

The American Certified Supply Chain Artificial Intelligence Analyst (ACSAI)® - for Managers and Experienced Professionals

Why is it different?

The ACSAI® certification is internationally recognized and focuses on the examination of end-to-end (E2E) visibility in supply chains. ACSAI® holders understand the importance of this core capability and know how to develop it. They also possess the confidence to lead AI-centric solutions in the supply chain, including human-machine teaming, which can reduce costs and improve overall efficiency and agility. Technology plays a significant role in our personal and professional lives, and it has transformed supply chain management. With advancements such as big data analytics, the Internet of Things, artificial intelligence, and radio frequency identification, the role of technology in supply chain management has evolved from a linear model to a more integrated one, where information flows in multiple directions. ACSAI® holders are at the forefront of these developments.

Why go for ACSAI® Certification?

In the context of supply chains and logistics, many companies have been exploring AI-driven solutions to enhance their workflow efficiency and overcome the complexities involved in managing the movement of goods from companies to the end consumer. The fast-evolving situation left many supply chain operators grappling with an unprecedented level of uncertainty as long-standing conventional supply chain management models proved insufficient to cope with the scale and complexity of the disruptions. The predicament compelled supply chain organizations across industries to seek more innovative tools and technologies. Consequently, a substantial number of them turned to AI solutions due to the advantages of the technology.

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.

About the exam

The ACSAI® examination tests members in major instructional areas in Machine learning and its subset which is Artificial Intelligence in Supply Chain management

Machine learning is becoming mainstream in the operational technology portfolio. Baseline forecasts for new products are instrumental in determining new product introductions and go-to-market plans. When applied to demand signals, AI can determine changing demand behaviors and optimize inventory levels and replenishment plans to feed the continuous loop of product life-cycle management.

Sales and operations planning is the ultimate collaborative decision-making process. Companies can apply AI technologies to sales and operations planning and other massive supply chain data pools to manage demand volatility, supply constraints, production scheduling, and dynamic distribution. AI can augment human interaction by allocating resources, assigning people, and scheduling processes.

Machine learning capabilities apply algorithms to massive operational 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 actions for unplanned events and transportation disruptions. Weather data integrated with operational data can predict potential problems and alert transportation and logistics service personnel with recommended actions.

Topics covered in the certification tests are

  • 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

What Skills Will You Learn in AI Supply Chain?


Modern supply chain automation is not possible without AI. AI gives supply chain automation technologies such as digital workers, warehouse robots, autonomous vehicles, RPA, etc., the ability to perform repetitive, error-prone tasks automatically.


AI-enabled technologies such as cobots are helping drive efficiency, productivity, and safety through automated warehouse management. Ocado is one of the leading warehouse automation market players., structured methods and means an organization uses to get what it needs at a good price and on schedule, while still building strong relationships with suppliers and vendors


AI-enabled computer vision (CV) systems can help automate quality checks for products. Since these systems do not tire, they can help improve productivity and accuracy on production lines. For instance, AI-powered computer vision systems can automate and improve the quality assurance of finished products.


Bots enabled with computer vision and AI/ML can be used to automate repetitive tasks in inventory management, such as scanning inventory in real time. Such inventory scanning bots can also be implemented in retail stores. However, while implementing such solutions, you need to ensure their feasibility and calculate their long-term benefits; otherwise, such initiatives can lead to failure.


AI-powered tools can help determine optimal inventory levels by analyzing historic demand and supply data and trends. This can help avoid over-production and storage costs . Comprehend the process of monitoring and maintaining the inventory that organizations procure for the business. The task of inventory management is one of the facets of procurement management that brings the entire process in the supply chain full circle


The bullwhip effect is a major pain point in supply chain management. This phenomenon occurs when small fluctuations at one end of the supply chain are amplified as they move upstream/downstream. AI-powered forecasting tools can help reduce demand and supply fluctuations to control bullwhip by leveraging data collected from customers, suppliers, manufacturers, and distributors. This can help reduce stockouts and backlogs.

Who would benefit from (ACSAI)®

Regardless of where you stand on the impact of AI and automation, it is clear that technology is causing tremendous supply chain disruption. If professionals need to survive and thrive, they will have to reinvent themselves. This reinvention of supply chain roles also has to be driven by the impact of another fundamental trend: rising customer expectations. Customers want products and services in their hands more quickly, they expect a more personalized experience and all this at a lower cost. This means more customized products and services, faster order fulfillment times, and super-efficient delivery. This will require an entirely new way to architect, design, and manage supply chains across broader ecosystems, new technologies, and new roles and skill sets.

Why would you benefit from (ACSAI)®?

AI is becoming essential to innovative supply chain transformation. Forty-six percent of supply chain executives anticipate that AI/cognitive computing and cloud applications will be their greatest areas of investment in digital operations over the next three years.

To better understand the impact of AI and cognitive computing solutions on supply chain and operations, we surveyed senior operational executives across a wide range of industries and geographies. We asked more than 1,600 Chief Operating Officers (COOs), Chief Supply Chain Officers (CSCOs) and executives of product development, procurement and manufacturing about their current views on AI and cognitive computing, their priorities and the value that they expect to derive.

Exam Codes

Exam CSAI®  AC-US08

Launch Date

August 2022
November 2022

Exam Details

The new CSAI® Fundamentals exam focuses on the knowledge and skills required to identify and explain the basics of computing

Number of Questions

Maximum of 100 questions per exam

Type of Questions

Multiple choice

Length of Test

120 Minutes

Passing Score

600 (on a scale of 1000)

Recommended Experience

No prior experience necessary





Testing Provider 

Affiliate Partner Testing CentersOnline Testing


$399.99 USD