Industry Use Case

Demand Forecasting for a Global Retail Company

This project provides a foundational knowledge to build and apply time series forecasting models in a variety of business contexts.

Demand Forecasting for a Global Retail Company
  • 3 bar graph
    Difficulty: Advanced

    Designed for those with a technical background or industry experience

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • Forecasting or predicting the future value over a period of time is known as time series forecasting. It involves creating models based on historical data and using them to draw conclusions and direct future tactical decisions.
  • Developing a comprehensive understanding of future demand is the essence of demand forecasting. Demand forecasting employs both quantitative and qualitative data to make predictions about future sales and the products that customers will purchase.
  • Retail businesses can use demand forecasting to predict a store’s sales and revenue for a given time in the future. The supply chain can benefit from using precise demand projections to enhance decision-making and results in domains like store and distribution centre replenishment, production scheduling, and resource planning.
  • Learn to study the principles of forecasting when historical data shows a trend to successfully carry out resource utilization, refilling, and other business issues.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

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Desktop Only

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Skills you will learn

Data Mining

Time Series Analysis

Forecasting Concepts

Forecasting Techniques

Associated Learning Tracks

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