EY Virtual Academy | Certification in Supply Chain Analytics

Course Detail

Program Overview

Every successful manufacturing and retail organization has a very strong supply chain ecosystem in place. It is the backbone of a company's manufacturing and retail chain process, and as such, it generates loads of data. In the current business scenario, the increase in demand for faster turnaround times and competitive end-product pricing has made the supply chain operations very complex and distributed. The need to gain unlimited visibility into processes and achieve complete control over operations in the highly volatile sector of supply chain management, has driven companies to consider incorporating supply chain analytics into their core processes.

Keeping in mind the growing need of Supply Chain Analytics by Manufacturing and Retail industry, EY learning solutions has created a comprehensive eLearning program on Supply Chain Analytics, covering essential aspects of Supply Chain such as:

• Route Optimization.
• Inventory Analysis.
• Warehouse allocation analysis.
• Transportation optimization.
• Vendor Analysis.

Program Outcome:

The program helps learner to get a holistic understanding on Supply chain as a function and embedding it with analytics with the following outcome:

• Use of analytical tools and techniques to assess the impact of various approaches in context to supply chain, inventory management, vendor management, demand forecasting and customer satisfaction.
• Reform the supply chain strategy by product to improve the overall cost efficiency without sacrificing customer service.
• Obtain hands-on experience with the help of case study-based approach on the application and impact of analytics in integrated supply chain and logistics planning ecosystem.
• Real time visibility of the data which increases operational efficiency and will help the organization to reduce their cost and improve on margins.
• Identify future risks by detection of patterns and treads and external factors for the business.
• Improve the accuracy of future demands to be more responsive to the customer needs.
• Ensures optimized inventory basis current and future demands which helps the organization to minimize dead stocks.