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performance testing
April 22, 2026
Kase Helps Brands Save With Amazon Shipping Through EasyPost
In today’s volatile shipping environment, balancing cost, speed, and customer expectations is no easy task. In this case study, discover how Kase, a leading omnichannel 3PL, partnered with EasyPost and leveraged Amazon Shipping to deliver faster, more reliable service, without sacrificing margins or customer experience. By integrating a flexible, scalable shipping solution in minutes, Kase unlocked new efficiencies for itself and its clients, including premium brands like Hiyo, all while navigating rising costs and shifting carrier dynamics. What You’ll Learn: How Kase achieved a 10% reduction in shipping costs without compromising service The strategy behind enabling 7-day delivery coverage and faster transit times How improved tracking transparency enhanced the customer experience Why flexible, API-driven integrations are critical for modern 3PLs How to balance cost, speed, and reliability in a rapidly changing logistics landscape The role of Amazon Shipping in expanding delivery options and scalability If you’re a 3PL, ecommerce brand, or supply chain leader navigating rising costs and increasing customer expectations, this case study offers a real-world example of how to stay competitive. Learn how to simplify operations, improve delivery performance, and create a premium post-purchase experience, without adding complexity to your tech stack. Click here to download
AI-powered supply chain solutions
March 5, 2026
Anything is Possible: Josh Gruenstein on AI Workers, Throughput Pressure, and the Next Revenue Lever in Supply Chain
At Manifest 2026, Scott Luton spent time with Josh Gruenstein, Co-Founder and CEO of Tutor Intelligence, to talk about a future that’s no longer theoretical: AI-powered robot workers operating inside America’s warehouses and factories. And this isn’t a science experiment. It’s already happening. From MIT to the Warehouse Floor Gruenstein and his team came out of MIT’s Computer Science and AI Lab with a bold idea: build AI-powered robot workers that can handle the manual labor people don’t want to do. “We build physical robots,” Gruenstein explained. “We build AI models that enable robots to perceive their environments, and then we deploy those robots into factories and warehouses across the United States to do manual labor that people don’t want to do.” Unlike traditional automation projects that require massive capital outlays, Tutor Intelligence operates on a robots-as-a-service model. Companies can engage a Tutor robot for roughly $14–$18 an hour, creating a flexible, scalable path to automation without multimillion-dollar implementation risk. Automation Isn’t New. AI Is Changing the Playbook. When asked about dominant supply chain themes, Gruenstein pointed to a constant drumbeat: automation. But 2026 feels different. “Automation is obviously a constant theme,” he said. “What really seems different…