How To Leverage Machine Learning

Implement’s approach to demand planning combines human and artificial intelligence to improve forecast quality. The three key elements of an efficient demand planning process are trust, purpose and accuracy. Machine learning models can bring an evolution to demand planning and, if applied correctly, improve forecast accuracy. Challenges of applying machine learning models in demand planning processes include lack of capabilities and processes, as well as difficulty in incorporating knowledge from sales. Solutions to these challenges include leveraging existing capabilities, streamlining data pipelines, and starting with linear or tree-based models.