This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Ebay, Incorporated. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Dineshbabu Bhoopalan: Innovator in Warehousing Solutions
Introduction
Dineshbabu Bhoopalan is a notable inventor based in Fremont, CA. He has made significant contributions to the field of warehousing services through his innovative use of machine learning technologies. With a total of 2 patents, Bhoopalan is recognized for his forward-thinking approach to inventory management.
Latest Patents
Bhoopalan's latest patents focus on systems and methods for providing warehousing services that utilize a machine learning model. The system he developed trains a machine learning model with training data that includes item attributes and transaction locations extracted from past transactions for each item category. This model identifies various transaction zones where each item category has the highest probability of selling. Upon receiving a warehouse request to store inventory in a remote location, the system determines at least one transaction zone based on the item attributes of the inventory. It then identifies one or more warehouse spaces that meet the spacing requirements for the inventory and presents a warehouse recommendation indicating these spaces.
Career Highlights
Dineshbabu Bhoopalan is currently employed at eBay, Incorporated, where he continues to innovate in the field of warehousing and inventory management. His work has been instrumental in enhancing the efficiency of warehousing services through advanced technology.
Collaborations
Bhoopalan collaborates with talented professionals such as Ashok Balasubramanian and SureshKumar Karuppuchamy, contributing to a dynamic work environment that fosters innovation.
Conclusion
Dineshbabu Bhoopalan's contributions to warehousing solutions through machine learning exemplify the impact of innovative thinking in modern inventory management. His work continues to shape the future of warehousing services.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
