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IoT in the Freight Industry | FourKites' Himanshu Mehrotra | Internet of Things Podcast
Manage episode 418218238 series 2788533
In this episode of the IoT For All Podcast, Himanshu Mehrotra, Vice President of Product Management at FourKites, joins Ryan Chacon to discuss IoT in the freight industry. The conversation covers how IoT and AI enable revolutionary shipping visibility solutions, such as real-time transport visibility platforms, the importance of IoT in providing real-time data and predictive analytics to ensure timely production and delivery, automating gate operations and utilizing smart labels for granular tracking, data standardization and intermittent connectivity challenges, computer vision and cameras as sensors, and using generative AI to offer recommendations for optimizing the supply chain.
Himanshu Mehrotra is the Vice President of Product Management at FourKites. He oversees the core shipment visibility solutions and the data platform that enables FourKites to connect to external ecosystems of data signals, either from direct integrations, signals from IoT devices, or onboarded devices on assets.
Himanshu has over two decades of experience in supply chain technology. Prior to FourKites, he shaped the solution strategy and go-to-market approach for control tower and logistics solutions at Blue Yonder, where he also leveraged machine learning-based predictive analytics. Himanshu has been at the forefront of the supply chain industry's most transformational changes, witnessing firsthand the profound impact of events such as the pandemic on retail and manufacturing and the revolutionary influence of innovators like Amazon on customer behavior.
FourKites extends real-time visibility beyond transportation into yards, warehouses, stores, and more, tracking over 3.2 million shipments daily across 200+ countries and territories. FourKites combines real-time data and powerful AI to help companies make their supply chain more efficient. Over 1,500 of the world’s most recognized brands - including 9 of the top 10 CPG and 18 of the top 20 food and beverage companies - trust FourKites to reduce costs and increase customer satisfaction.
Discover more about supply chain and IoT at https://www.iotforall.com
More about FourKites: https://www.fourkites.com
Connect with Himanshu: https://www.linkedin.com/in/himanshu-mehrotra-0401772/
(00:00) Intro
(00:23) Himanshu Mehrotra and FourKites
(03:14) IoT in the freight industry and supply chain
(08:04) Advancements in IoT devices and connectivity
(10:32) What does real-time IoT data enable?
(12:42) Data standardization
(14:07) Intermittent connectivity challenges
(15:47) Turning data into value with AI
(19:39) Using generative AI in the supply chain
(21:03) What is the future of IoT in the freight industry
(23:46) Cameras as sensors and computer vision
(26:30) Learn more and follow up
Subscribe on YouTube: https://bit.ly/2NlcEwm
Join Our Newsletter: https://www.iotforall.com/iot-newsletter
Follow Us on Social: https://linktr.ee/iot4all
Check out the IoT For All Media Network: https://www.iotforall.com/podcast-overview
355 episodes
Manage episode 418218238 series 2788533
In this episode of the IoT For All Podcast, Himanshu Mehrotra, Vice President of Product Management at FourKites, joins Ryan Chacon to discuss IoT in the freight industry. The conversation covers how IoT and AI enable revolutionary shipping visibility solutions, such as real-time transport visibility platforms, the importance of IoT in providing real-time data and predictive analytics to ensure timely production and delivery, automating gate operations and utilizing smart labels for granular tracking, data standardization and intermittent connectivity challenges, computer vision and cameras as sensors, and using generative AI to offer recommendations for optimizing the supply chain.
Himanshu Mehrotra is the Vice President of Product Management at FourKites. He oversees the core shipment visibility solutions and the data platform that enables FourKites to connect to external ecosystems of data signals, either from direct integrations, signals from IoT devices, or onboarded devices on assets.
Himanshu has over two decades of experience in supply chain technology. Prior to FourKites, he shaped the solution strategy and go-to-market approach for control tower and logistics solutions at Blue Yonder, where he also leveraged machine learning-based predictive analytics. Himanshu has been at the forefront of the supply chain industry's most transformational changes, witnessing firsthand the profound impact of events such as the pandemic on retail and manufacturing and the revolutionary influence of innovators like Amazon on customer behavior.
FourKites extends real-time visibility beyond transportation into yards, warehouses, stores, and more, tracking over 3.2 million shipments daily across 200+ countries and territories. FourKites combines real-time data and powerful AI to help companies make their supply chain more efficient. Over 1,500 of the world’s most recognized brands - including 9 of the top 10 CPG and 18 of the top 20 food and beverage companies - trust FourKites to reduce costs and increase customer satisfaction.
Discover more about supply chain and IoT at https://www.iotforall.com
More about FourKites: https://www.fourkites.com
Connect with Himanshu: https://www.linkedin.com/in/himanshu-mehrotra-0401772/
(00:00) Intro
(00:23) Himanshu Mehrotra and FourKites
(03:14) IoT in the freight industry and supply chain
(08:04) Advancements in IoT devices and connectivity
(10:32) What does real-time IoT data enable?
(12:42) Data standardization
(14:07) Intermittent connectivity challenges
(15:47) Turning data into value with AI
(19:39) Using generative AI in the supply chain
(21:03) What is the future of IoT in the freight industry
(23:46) Cameras as sensors and computer vision
(26:30) Learn more and follow up
Subscribe on YouTube: https://bit.ly/2NlcEwm
Join Our Newsletter: https://www.iotforall.com/iot-newsletter
Follow Us on Social: https://linktr.ee/iot4all
Check out the IoT For All Media Network: https://www.iotforall.com/podcast-overview
355 episodes
All episodes
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