Gathering Inventory Data with Sankalp Arora
The Logistics of Logistics Podcast
Release Date: 05/01/2023
The Logistics of Logistics Podcast
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info_outlineSankalp Arora and Joe Lynch discuss gathering inventory data, a function that is being transformed by Sankalp’s company Gather AI. Sankalp is CEO and Co-founder at Gather AI, a warehouse automation company that has created the world's first drone-powered inventory monitoring solution.
About Sankalp Arora
Sankalp Arora is an accomplished entrepreneur and roboticist, currently serving as the CEO and Co-founder of Gather AI, a cutting-edge warehouse automation company. Gather AI has created the world's first drone-powered inventory monitoring solution, which promises to revolutionize the way warehouses manage their inventory. Sankalp has a wealth of experience in the field of robotics, having spent 14 years working on various projects related to autonomous vehicles and robotics. He played a key role in developing safety and sensor planning for the world's first safe autonomous helicopter, a project that earned several prestigious awards including the Howard Hughes award, AUVSI Xcellence award, and a nomination for the Collier Trophy. Sankalp's innovative work has also earned him recognition in the form of the Qualcomm Innovation fellowship and Swartz Innovation fellowship. He holds a PhD in Robotics from Carnegie Mellon University, where he conducted extensive research on robotic perception and control. With his vast experience and expertise in robotics and automation, Sankalp is leading Gather AI towards a brighter future, where the power of drone technology can be harnessed to optimize warehouse operations and transform the logistics industry as we know it.
About Gather AI
Gather AI is a pioneering warehouse automation company that was founded in 2018 and is headquartered in Pittsburgh, Pennsylvania. The company has quickly established itself as a leader in the field of drone-powered inventory monitoring, providing warehouse operators with an innovative solution to optimize their profitability. Led by a team of experienced roboticists and entrepreneurs, including founders Sankalp Arora, Daniel Maturana, and Geetesh Dubey, Gather AI has developed a unique product that is already being used by warehouses across a range of industries, including third-party logistics, retail distribution, manufacturing, and food & beverage. With its cutting-edge technology and forward-thinking approach, Gather AI is poised to revolutionize the logistics industry and transform the way warehouses operate in the years to come.
Key Takeaways: Gathering Inventory Data
- Sankalp Arora is CEO and Co-founder at Gather AI, a warehouse automation company that has created the world's first drone-powered inventory monitoring solution.
- Gather AI uses off-the-shelf autonomous drones to gather data in warehouses, such as the number of items on a shelf and the locations of particular pallets.
- Gather AI was co-founded in 2019 by Sankalp Arora, Daniel Maturana and Geetesh Dubey, who were graduate students at Carnegie Mellon's Robotics Institute.
- Gather AI's core product is an inventory monitoring system that uses off-the-shelf autonomous drones.
- Gather AI's approach is more fungible and less costly than that of its rivals because it relies on consumer drones instead of custom-built ones.
- Consumer-grade drones are more attainable and scalable than their commercial counterparts, and still able to perform tasks like detecting damaged inventory and counting pallet cases.
- A core innovation of Gather AI is that it can achieve sophisticated state estimation on commodity hardware and can fly autonomously without GPS on drones that can be bought at consumer stores.
- With Gather AI you can drive efficiency with autonomous warehouse drones. What used to take employees 2 hours can now be done in an automated 8 minutes.
- A common knock-on autonomous inventory solutions is that not all warehouses are robot-friendly, and that if barcodes aren’t displayed perfectly, then the system suffers. Gather AI can read your existing labels over 95% of the time.