Requirement engineering in many IT services industries continues to be document-centric and heavily manual. Requirements specification documents contain details of product features, process flows, activities, rules, parameters, etc. Intricate knowledge of dependencies between these specification elements is necessary for effective change impact analysis. In document-centric change impact analysis, business analysts have to search for information across multiple requirements specification documents. Especially with business products having multiple customized product implementation scenarios, it is crucial to consider the context (client/ operating market/ geography) when analyzing the change request (CR), that makes the overall CR impact analysis process time-, effort- and intellect-intensive endeavor, and vulnerable to errors. To overcome these lacunae, we propose Natural Language Processing (NLP) and Model-Driven Engineering (MDE) based, automated Contextual Change Request Impact Analysis (ContCRIA). ContCRIA automates change impact analysis and generates a detailed CR impact analysis report. In this paper, we describe the overall approach of ContCRIA and its application on two real-world products thus bringing out its efficacy as well as lessons learned. Though the findings are shared in the specific context of two industry products, we believe, researchers, practitioners, and tool vendors will find the takeaways from this approach and experience applicable in other contexts too.