53 posts tagged with “warehouse-automation”

Amazon quietly shut down its Blue Jay warehouse robot just months after launch. Here's what the failure reveals about the real limits of logistics automation — and how shippers should rethink their robotics strategy in 2026.

WMS vendors are racing to deliver lights-out warehouse operations by 2030. Here is a buyer's guide to the autonomous warehouse roadmaps from Made4net, Manhattan Associates, and others — with realistic timelines for mid-market shippers.

The warehouse simulation market is growing at 14.5% CAGR, reaching $2.4 billion by 2035. Learn why pre-build digital modeling is now mandatory for new facility design and how it cuts commissioning issues by up to 90%.

The lights-out warehouse isn't science fiction anymore. With $21 billion invested in 2023 and projections exceeding $90 billion by 2033, here's the timeline for when warehouse automation reaches full autonomy—and what shippers need to do now.

Physical AI is transforming warehouse robotics from programmed machines into spatially aware systems that reason about the physical world. Here's what logistics operators need to know in 2026.

LogiMAT 2026 in Stuttgart brings 1,600+ exhibitors showcasing humanoid robots, modular AMRs, machine vision, and rental automation models. Here are 5 innovations shippers should watch.

Machine vision systems are revolutionizing warehouse operations with six-sided scanning tunnels, AI-powered damage detection, and 3D cameras. Learn how computer vision is transforming intralogistics in 2026.

Dark warehouses—fully autonomous facilities running without lights or humans—are cutting operating costs by up to 40%. Here's how lights-out fulfillment works in 2026 and when it makes sense for your operation.

UPS, DHL, and FedEx are racing to automate their networks. Here's what the $82 billion logistics automation surge means for mid-size shippers in 2026.

A practical guide to building an ROI model for autonomous mobile robots (AMRs) in warehouses, covering payback period variables, common assumption pitfalls, and real-world timelines by facility type.