Pallet

We're excited to announce our $18 million Series A led by Bain Capital Ventures. At Pallet, we’re building software that shapes how we move products around the world. Since launching 18 months ago, we’ve built an end-to-end operating software that consolidates all workflows across transportation, warehousing, billing, and accounting. We also introduced AI workflows on the platform that have eliminated away time spent on administrative tasks like order entry by over 70%. But we’re just getting started. We believe that cutting-edge technology and AI will play a pivotal role in transforming the world of logistics. If you’re interested in joining, we’re hiring across sales, product, engineering, and implementation. https://lnkd.in/eT28sqRA

Excited to welcome Nilkanth Patel to Pallet as Head of Product Engineering! Previously, Nilkanth co-founded Herald (YC W19) and was a Staff Engineer at DoorDash. We're excited for his speed of execution, deep customer understanding, and thoughtful approach to AI agents. If you’re interested in building AI agents for logistics, join us at our next meetup at Bain Capital Ventures for great networking + knowledge sharing. Invite link in the comments.

Calling Engineers and Founders interested in building in the AI Agents space. We’re hosting a chill but insightful meetup to discuss what’s working, what’s not, and what’s next for AI Agents in the Real World. Introducing speakers from Mintlify, Unstructured, Prophet Security, and Pallet 😉. It should be a fun evening of AI Agents' discussions and good hangs. 🤖 Spots are limited, so make sure you RSVP - https://lu.ma/j1pnoer0 📍 Where: Bain Capital, 450 Pacific Ave, SF 📅 When: Thursday, April 10th - 5:30-7:30 pm 🛬 5:30 PM – Arrivals, snacks, and drinks 🎤 6:00 PM – Talks from AI Agent startups solving real-world problems 💡 6:30 PM – Open Q&A on what’s actually working in AI 🤝 7:00 PM – Networking & chillin' ✌️ #AI #AIAgents #Startups #Builders #SanFranciscoTech

To all my friends attending TPM 25 next week in Long Beach, make sure you check out my colleagues at Pallet. To get a sense in how Pallet is leveraging AI to automate the supply chain check out this post by Sushanth Raman talking through their new release. I wish this was available back in the day when I was in ops! https://lnkd.in/gxHS2idf Make sure to connect with Sushanth Raman and Andrew Geisse at #TPM2025.

Heading to JOC #TPM2025 next week—let’s talk about how AI can automate routine workflows like appointment scheduling, track & trace, document digitization, and customs compliance. If you’re thinking about deploying AI in your ops, DM me to set up a time!

Thanks FreightWaves and Grace Sharkey 🚛🤖💙 for having us on!

New proposed fees on 𝗖𝗵𝗶𝗻𝗲𝘀𝗲-𝗺𝗮𝗱𝗲 𝘃𝗲𝘀𝘀𝗲𝗹𝘀 𝗮𝘁 𝗨.𝗦. 𝗽𝗼𝗿𝘁𝘀 could be a blessing in disguise for cross-border motor carriers. Companies with Chinese-built fleets may face an 𝗲𝘅𝘁𝗿𝗮 $𝟭.𝟱𝗠 fee per port call—a massive shift in cost structure. If this goes into effect, here’s what happens in the short term: 𝗨𝗦 𝗽𝗼𝗿𝘁 𝘃𝗼𝗹𝘂𝗺𝗲𝘀 𝗱𝗿𝗼𝗽, while Vancouver, Ensenada, Mazatlán pick up the slack. 𝗖𝗿𝗼𝘀𝘀-𝗯𝗼𝗿𝗱𝗲𝗿 𝘁𝗿𝘂𝗰𝗸𝗶𝗻𝗴 𝗱𝗲𝗺𝗮𝗻𝗱 𝘀𝘂𝗿𝗴𝗲𝘀 as shippers reroute cargo through Canada and Mexico. 𝗟𝗼𝗻𝗴𝗲𝗿 𝘁𝗿𝗮𝗻𝘀𝗶𝘁 𝘁𝗶𝗺𝗲𝘀 & 𝗵𝗶𝗴𝗵𝗲𝗿 𝗰𝗼𝘀𝘁𝘀—Mazatlán to Long Beach is 1,200 miles (two extra days of driving), plus cartel activity in northern Mexico adds risk. The shippers, 3PLs, and forwarders that move fast and digitize will adapt best. If you’re thinking about how to make your ops more resilient, let’s talk.

AI is transforming logistics—$200B is being invested in 2025 alone. Are you ready? Join FreightWaves & Pallet for a must-watch session on how to evaluate & deploy AI in your operations. Register now! https://lnkd.in/eYMkPgr2

For us, getting AI workers to human-level accuracy isn’t a nice-to-have, it’s table stakes. A wrong trailer temperature or a mispriced load can cost thousands. That’s why we built CoPallet with strict guardrails for handling exceptions: 𝗡𝗼𝗻-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗶𝘀𝘀𝘂𝗲𝘀 (𝗲𝗴 𝗯𝗹𝘂𝗿𝗿𝗲𝗱 𝘀𝗶𝗴𝗻𝗮𝘁𝘂𝗿𝗲𝘀): CoPallet auto-resolves by requesting the right data. 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗲𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝘀 (𝗲𝗴 𝗮 𝗹𝗼𝗮𝗱 𝘄𝗶𝘁𝗵 𝘂𝗻𝘂𝘀𝘂𝗮𝗹 𝗽𝗿𝗶𝗰𝗶𝗻𝗴): A human in the loop is pinged to review and approve before the workflow continues. The result? Automation and accuracy—delivering a lower error rate than manual work.

I'm excited to speak with Grace Sharkey 🚛🤖💙 and FreightWaves about how businesses are deploying AI in logistics next week. Hope you'll join!