Ementorhub

What you'll learn

Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.

Identify the key drivers for demand and quantify their impact.

Build, validate and improve forecasting models with both continuous and categorical variables.

Skills you'll gain

Trend Analysis

Demand Planning

Data Validation

Time Series Analysis and Forecasting

Forecasting

Data Processing

Supply Chain Planning

Data Collection

Data Analysis Software

Exploratory Data Analysis

Regression Analysis

Statistical Modeling

Market Dynamics

There are 4 modules in this course

Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!

Predicting Trend

Predicting the Impact of Price and Other Environmental Factors

Predicting Seasonality