Kase Helps Brands Save With Amazon Shipping Through EasyPost

Blog Post written by Ohad Azgad, CEO of Cinch Logistics leaders must control costs while maintaining service quality, but hidden freight charges often erode profits due to poor visibility. Cinch analyzed over 7,000 line-item charges from 30+ freight forwarders, brokers, and carriers in FMCG and manufacturing, uncovering three major cost drivers: The Frequency-Impact Paradox Frequent charges like fuel surcharges appear in 14.4% of invoices but contribute just 4.2% of hidden costs. In contrast, customs duties—though present in only 5.8% of invoices—account for 52% of hidden costs. Identifying these patterns helps logistics teams focus on impactful cost reductions. Inconsistent Invoice Terminology Charge names like “Fuel Surcharge” vs. “Bunker Adjustment Factor” vary between carriers, reducing cost visibility and negotiation leverage. Standardizing terminology improves tracking, clarity, and vendor negotiations. Hidden Budget Risks: Customs, Duties & On-Carriage Fees Customs duties account for 46% of hidden costs, while on-carriage fees add 26%, despite appearing in only 4.3% of invoices. These charges are often underestimated during quoting, leading to budget overruns. Proactive management prevents unexpected expenses.   Strategies to Optimize Freight Costs Real-Time Data Analytics: Platforms like Cinch provide charge visibility during quoting, improving cost forecasting and negotiation leverage. Standardized Terminology: Consistent charge names enhance cost…

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…