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

Abstract

Computerized systems and methods are described for generating and optimizing vendor product roadmaps using predictive insights. Leveraging a Real-Time Data Mesh (RTDM) module, data from diverse sources including market trends, customer feedback, and technological advancements is aggregated and standardized. An Analytics and Machine- Learning (AAML) module analyzes this data to generate predictive insights, facilitating adjustments to existing product roadmaps. Dynamic adjustments are made using a roadmap optimization module, with communication facilitated through a Single Pane of Glass (SPoG) user interface (UI). Scenario analysis, decision-support systems, and continuous monitoring improve strategic decision-making. - 49 20 26 23 01 26 10 S ep 2 02 6 A B S T R A C T 2 0 2 6 2 3 0 1 2 6 1 0 S e p 2 0 2 6

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