New Product Forecasting Using Machine Learning



All businesses introduce new products for various reasons. The new products poses challenge for the planners and marketing executives to estimate the demand for them for merchandise and supply planning purposes. The primary reason being the lack of historical data that can be used for forecasting.

This course addresses this challenge by discussing concepts and techniques available for forecasting demand of new products. These techniques are ‘By Analogy’ and ‘Bass Diffusion’ including a live demonstration using a planning software.

While Analogy is the more popular technique, the issue most planners face in this technique is in choosing the right analogue product. The course also discusses the clustering technique that can be deployed to help pick the right analogue product to assist in this technique.

Suitable For:

Business Planners, Sales & Marketing executives, Management students

Students will need a desire to learn about planning processes and techniques
A basic understanding of statistics would be an asset
Course Contents:

-Need for new product
-New product classification
-Types of new product forecasting
-Forecasting by Analogy
-Similar product selection by machine learning
-Best Product Pick
-Forecasting for new to the world product
-Analogy method demo using a forecasting software

1 hour on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

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