Inventory Management

Inventory Management is a systematic approach to sourcing, storing, and selling inventory—both raw materials (components) and finished goods (products). Coursera's Inventory Management catalogue teaches you about the methods and best practices for managing the quantities of stock that pass through a business. You'll learn everything from understanding the balance between holding too much inventory and too little, setting up an effective warehouse system, to executing inventory audits and analyses. You will also get insights into modern inventory management software and technologies, and how they can be utilized for efficient and effective stock control. This knowledge will help you optimize inventory levels, improve customer satisfaction, and increase operational efficiency in roles such as supply chain analyst, purchasing manager, or warehouse supervisor.
3credentials
11courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "inventory management"

  • Status: Preview

    University of Michigan

    Skills you'll gain: Financial Statements, Accounting, Ledgers (Accounting), General Accounting, Financial Acumen, Revenue Management, Inventory Control Systems, Inventory Management, Decision Making

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Inventory Management, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Predictive Analytics, Data Visualization, Pandas (Python Package), Data Analysis, Statistical Modeling, Data Wrangling, Data Manipulation, Data Transformation, Machine Learning