Forecasting Retail Customer Demand with Machine Learning & Data Science

Get access to an insightful eBook about how global Retailers are building systems for demand forecasting down to a local or even shop level, considering a multitude of impacting factors, predictable and unpredictable

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What to expect from this eBook

  • An overview of the current state of the Retail industry

  • The challenges the Retail industry faces in 2022

  • How can you leverage the benefits of customer demand forecasting?

  • Examples of Values-Driven Consumption and some key actions to consider

  • Examples of how customer demand forecasting via ML and data science can provide solutions to existing problems

  • Explanation of all the technology and business concepts related to the main topic

  • How to predict demand with Machine Learning

Relatively Predictable External Factors

Seasonality
Trends
Recurring Demand Patterns

Impact of Business Decisions

Price Changes
Promotions
Advertising

Unpredictable Factors

Weather
Local events
Industry News
A global pandemic

What factors can be taken into consideration

How does customer demand forecasting aid retail businesses?

Never going out-of-stock

Cost Cutting

Increased revenue

Discover how Data Science is changing the way Retailers forecast Customer Demand

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