R&D Organization globally develop products using the Epic – Feature - Story structure. PLM Teams are required to estimate job sizes based on content description and experience using as unit of measure Story points. Very often this evaluation is subjective, and not accurate enough leading to estimation errors that leads to delays in product delivery or content cut. The same estimation process is time consuming.
Machine Learning could “learn” from estimation history and build a model against which R&D could receive accurate estimation of job sizes. This would lead to better product roadmap, on time and budget delivery of products (SW, HW, FW, Services) with less manpower and less costs.