Xiao Guo

Many Lucas customers have reported using much less paper since adopting voice picking with dynamic work optimization. Read this feature from Evan Danis to explore more about how picking optimization eliminates waste. https://lnkd.in/gepqxhm5

5

Signs and wonders If there was ever any doubt in the last month about the changing nature of our industry and the role of an engineer within it, those have been cast aside. The Seattle Times published this article today https://lnkd.in/gpSetTJ3. LeadDev asserts that interviewees might be penalized for not using AI https://lnkd.in/ggNsGqSx.  All of this points to such a drastically changed landscape from even 2 years ago that we all have to loop AI into our processes as we look for work and query those in a hiring position.  I don't necessarily see these positions as new, or very eye opening from opinions I have been forming over the past month. And certainly there are no lack of opinions surrounding AI. But they do buttress the idea that, as job seekers, we are hobbling ourselves if we don't know how to use these new tools. LeadDev even says we will have a hard time getting in the door.   One quote stuck out to me in that Times' article though. "Writing code is more fun than reading code". This points to the assertion that we still need that developer in the loop; we still need that head check to make sure what our AI is spitting out is still workable. As I have been working on new projects & side hustles this month, I spent some time vibe coding and put up https://lnkd.in/g7W3J4WJ. It's a fun remix studio that remixes your audio mp3s in the styles of several iconic producers: J.Dilla, Steve Albini, Scott Burns. It's an idea generator for your mixes if they sound flat or you are just trying to get them to sound different and don't know which way to go.  But and so anyway, AI mostly did that. And AI mostly messed it up. From not understanding memory management, to screwing up the integration from the front end to the backend. Were it not for the developer in the loop there would be just a bunch of UI that doesn't go anywhere and a bunch of backend code that errors out. It is hard to not get frustrated with a tool that gets you 70% of the way to a working solution, but chokes on the last 30%. Keeping in mind though that if I were to have done this from the ground up without AI, that solution would have taken more than a week of dilligently coding and researching. And whereas that seems like the way to get to a holistic solution where bugs are found early and workarounds are smoothed out to actual paths, the payoff; the proof of concept would have been a long way off. With AI it took 4 hours. What is missing here though is the high level thinking of the solution. For instance, as developers our coding always always always generates more ideas. What other ideas did I miss in letting AI take control?  

7

We’ve been building FleetMove since November last year, and honestly, the last two months since launch have driven some of our biggest improvements. Real customer feedback has been the game changer. It pushed us to rethink things we never would have questioned without real-world usage. Lately, our focus has been all about simplifying quoting, and a few clear user types stood out: 🔹 Low-volume, non-technical users We launched a chat-based, agentic quoting flow that gathers everything needed without friction. 🔹 High-volume movers We shipped My Fleet — simple fleet management inside FleetMove. Upload vehicles once, move them with a click, and auto-fill quotes instantly. Need to quote vehicles in bulk without a fleet? CSV uploads are now supported, with real-time column mapping (no templates, no headaches). And we’re just getting started. My Fleet alone has vehicle storage, inspections, and more coming soon. Our goal is simple: make vehicle transport easy. If you’ve got thoughts or feedback, I’d love to hear them.

11

Today we announced new capabilities for our Shop Direct and Buy for Me experiences on Amazon, enabling now feeds to facilitate external merchants to list reliably their product listings and reach millions of Amazon customers. Excited on this feature, that is a win/win experience for customers, merchants and brands. Excited to be part of such important project.

27

Just came across one of the most ironic stories in the high-tech AI world. Waymo runs fully autonomous taxis across the US. No driver. Complex routing. Real-time decision making. But there’s one issue the system couldn’t handle: If a passenger leaves the door open, the car can’t continue operating. The workaround? Send a human to close it. As someone working in testing and digital transformation, I find this fascinating. We spend so much time designing for complex scenarios — yet it’s often the simplest edge cases that break production systems. https://lnkd.in/g64jk9qU

17

1 Comment

Warp is turning the routines of warehouse work upside down by deploying robots to automate complex logistics workflows internally rather than just sticking to shipping or delivery. They created a digital twin of their Los Angeles warehouse, experimenting with various robotic solutions to reduce labor dependency in unloading, storing, and reloading freight. Despite early setbacks—like trying to teach humanoid robots to use pallet jacks—the company found success retrofitting off-the-shelf robots with custom tech. They’re not just building robots; they’re building a smarter logistics ecosystem that integrates AI across voice, text, and robotics to streamline operations. What’s compelling is their recognition that warehouses face constant staffing challenges and tough labor conditions, and these new automation tools could alleviate strain on workers while improving efficiency. Warp’s approach isn’t to be another robot vendor but a deeply integrated logistics player, giving its core warehouse network strategic advantages and helping partners as well. Testing several robot versions in autonomous pilot facilities, they plan full deployment in major hubs this year, backed by a $10 million Series A round. This reveals a future where logistics innovation doesn’t just enable efficiency—it redefines the partnership model between tech and human labor in supply chains. How are you thinking about balancing automation’s gains with the human realities inside your own operational ecosystems? #WarehouseAutomation #SupplyChainInnovation #RoboticsInLogistics #AIIntegration

1