Supply Chain Analytics | EveryEng

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Self-paced Beginner

Supply Chain Analytics

4(1579)

1 enrolled

688 views

FREE

1274 min

Anytime

English

Team EveryEngMechanical Engineering

Rail & Transport

Lifetime access
Certificate of completion
Foundational Learning
Access to Study Materials

Volume pricing for groups of 5+

Why enroll

Participants join this course to understand how data analytics can improve supply chain performance and decision-making. It helps them learn practical techniques for analyzing supply chain data and identifying opportunities to reduce costs and increase efficiency. The course also provides valuable skills in data visualization and predictive analysis that are widely used in modern industries. By gaining these skills, participants can enhance their career opportunities in supply chain management and data-driven business operations.

Your instructor

Team EveryEng

Engineer

Mechanical Engineering

22+ yrs experience·India

Is this course for you?

You should take this if

You work in Aerospace or Rail & Transport
You're a Data Science & Analysis / Mechanical Engineering professional
You prefer self-paced learning you can revisit

You should skip if

You need a different specialisation outside Data Science & Analysis
You need live interaction with an instructor

Course details

This course focuses on how data analytics can be used to improve supply chain operations and support better business decisions. Participants will learn how to collect, analyze, and interpret supply chain data to identify patterns and trends. The course introduces important techniques such as data analysis, visualization, and predictive modeling. Learners will explore how analytics can help reduce costs, improve efficiency, and optimize inventory management. It also covers demand forecasting and performance monitoring using real data insights. Participants will gain practical knowledge on using data to solve supply chain challenges. The course explains how data-driven decisions can enhance logistics, procurement, and distribution processes. Simple analytical tools and techniques will be demonstrated for real-world applications. By the end of the course, learners will understand how to transform raw data into meaningful insights. This helps organizations make smarter decisions and achieve sustainable business growth.

Source: Supply Chain Analytics (YouTube Channel)
Dr. Rajat Agrawal, Dept. of Management Studies, IIT Roorkee

Course suitable for

Key topics covered

Analyze supply chain data for informed decisions
Apply data visualization and predictive analytics techniques
Optimize supply chain design and operations
Implement data-driven decision-making practices

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

40 lectures21 hr 14 min

Opportunities that await you!

Career opportunities

FREE

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Questions and Answers

Q: You're reviewing a KPI dashboard after a supplier OTIF collapse, searching for "why forecast accuracy drops but inventory rises supply chain analytics". Demand variance is stable, yet safety stock keeps inflating and service level still falls. What’s the most likely root cause?

Q: A rail operator stores spare brake components in a coastal warehouse and later sees premature failures, prompting a search for "corrosion impact on spare parts inventory analytics". Which degradation mechanism dominates the observed increase in scrap rate?

Q: Your lead asks you to redesign a replenishment policy after seeing 15% higher actual cycles than assumed, googling "how to adjust safety stock with real cycle data". Which analytics-driven design choice best addresses the gap without overcapitalizing inventory?

Q: An aerospace supplier data audit references "AS9100 requirements for supplier performance monitoring analytics". Why does the standard insist on trend analysis rather than single-point KPI checks?