Bengaluru, India

Palani Balasundaram

This inventor holds 1 USPTO granted patent. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Palani Balasundaram. Retrieved from https://idiyas.com/inventor/palani-balasundaram

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Palani Balasundaram and Machine-Learning-Based Demand Forecasting.

Introduction

Palani Balasundaram is an inventor based in Bengaluru, India. His work includes a patented system that applies machine learning to forecast customer demand and help businesses make informed supply decisions.

Latest Patents

Balasundaram is associated with 1 patent, titled “Machine Learning System for Forecasting Customer Demand.” The disclosure describes generating multiple prediction models, each using a distinct machine-learning algorithm, and selecting an optimal model based on an overall score. The selected model produces a forecast index from customer digital-intent data, which can help adjust product supply in response to predicted demand.

Career Highlights

Balasundaram works at Hewlett Packard Enterprise Development LP. His patent reflects an application of machine learning to demand forecasting and product-supply planning.

Collaborations

The provided information identifies Sandy Ono and Shambhu Kumar as Balasundaram’s coworkers. It does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Palani Balasundaram’s patented forecasting system uses customer digital-intent data and model selection to support demand-informed supply decisions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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