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Forecasting and Sales Planning is fundamental to a your business -  it drives customer service and financial performance.   However, many businesses find their forecasting and planning process inefficient or are struggling to see any tangible improvements. 

 

Here are the common reasons why : 

Demand modelling limitations -  Almost all demand planning solutions have a fundamental design flaw that  limit accuracy improvements.  Cauself is different.

Lack of deep demand insights -  When analysing what drives demand are you only scratching the surface? Do you have a subjective view on what drives demand that lack statistical rigor?

Disjointed Sales Planning -  Is your forecast truly aligned to your sales plan?  Can you easily test different sales plan scenarios.  Is there a lot of  guess work in determining promotional uplift?

Cost and Effort -  Data science is a tool that can help you improve accuracy - but do you have the skills, tools and budget to make it work?

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