Systems and methods for automated prediction of insights for vendor product roadmaps

A computer-implemented method for generating predictive insights into vendor product roadmaps, the method comprising:

• Automatically collecting data from two or more predefined sources including market trends, customer feedback, and technological advancements collected and standardized by a data layer within a Real-Time Data Mesh (RTDM);
• analyzing the collected data with a machine learning model within an Analytics and Machine-Learning (AAML) module to identify one or more patterns, wherein the model includes at least one of a convolutional neural network for image data patterns and a recurrent neural network for temporal data patterns;
• generating predictive insights based on the patterns for vendor product roadmaps based on the analysis, wherein the insights suggest one or more potential product modifications;
• automatically updating vendor product roadmaps in a roadmap management module to incorporate the generated predictive insights.