Movacy

We spend a lot of time talking shop with people who run delivery networks, and the best ideas from those conversations deserve to travel more. So here are some of them, from an expert to another. 👇 💡 Delivery management is heading toward zero-touch, with apps expected to read recipient calendars and smart home systems and send parcels to a nearby locker or neighbour within the next 5 to 10 years. 💡 Software is learning to see, as last-mile systems move toward computer vision over the next 3 to 5 years to find hidden entrances and prepare networks for robotic delivery. 💡 Lockers are becoming revenue points, with label-free QR drop-offs, escrow payments and paid storage extensions growing alongside ReCommerce and peer-to-peer shipping. If one of these sparks an idea, pass it to someone on your team and tell us which one you would bet on first.

Almost everyone in OOH and last-mile is already using AI. A 2025 survey of global transportation professionals found 96% are using AI in their operations, with the most common uses being data entry, route and load optimization, and freight forecasting. (Descartes Systems Group, 2025). AI is widespread, so does it mean it stops being the edge? Well...in a way. Execution is still stalling. 👇 Our co-founder Cristi Pena made a version of this point on a panel at connect2posts ParcelNext in Vienna, where a pre-event survey found that the barrier to AI adoption for most respondents was trust or skills. We'll be really honest with you now and say that we've lived both sides of that. On the network we run with Sameday Romania, we used AI to break consignee addresses into structured components for GPS identification. This lifted address accuracy across the network and now compounds into fewer failed deliveries over time. But we also ran a proof of concept on AI damage detection where the model worked, but the cost of running it came in above the manual process it was meant to automate. If you're ready to share some of your wins and learnings with AI as well, we're all eyes and ears. 👀

One of the most profitable features on our locker platform began as a favour for people stuck in meetings.:) While building the platform with Sameday Romania, we added an option for customers to extend the time a parcel waits in the locker when their day ran late or they were out of town. Customers loved it, and that small courtesy grew into one of the highest-margin revenue lines on the platform. The lesson we still carry from is to always keep an open mind and remain flexible. Everything you see in your network, which in our case were holding times and pickup windows, are settings you can turn into a choice for the customes. Some of those choices may end up surprising you (and your bottom line). Do you have a similar story? If so, we'd absolutely love to hear it! 💚

France has crossed a line the rest of Europe is moving toward. It is the first major European market where out-of-home delivery is more popular than delivery to the door, according to Sendcloud's 2026 research across 8 markets. The same study puts pickup-point use at 45% of shoppers in the past three months, and more than half of those shoppers say they are readier to buy when checkout offers a choice of delivery options. Geopost also reported its out-of-home volumes grew 31% during 2025 across more than 150,000 pickup points, so the behaviour and the infrastructure are climbing together. We're closely monitoring this shift from inside the operation on the network we run with Sameday Romania, where 65% of parcels now move through out-of-home channels across Romania, Hungary, and Bulgaria. Once a customer gets used to collecting on their own schedule, going back to waiting at home feels like a step down. Are you noticing it as well? 👀

The map of European out-of-home delivery has a clear leader, and here's why. At the end of 2025, Poland held the largest number of shared out-of-home points in Europe, ahead of the UK, Spain, Italy and Germany, according to the Out-of-Home Delivery in Europe 2026 report from Last Mile Experts. That is because the business case makes sense. The more pickup points a network has in a given area, the shorter each courier route becomes, the more parcels move per stop, and the closer a locker sits to where people already are. We've also seen this in our day to day work managing 9,000 lockers and 1,500+ PUDO points across three countries. ✊ PS: Below is a pic of one of those 9,000 lockers 💚

Two top minds in European last-mile logistics, Irina Macovei and Marek Rozycki, talked about how AI is changing software development inside logistics teams. We've decided to share their insights publicly. 💡 Irina explains that AI shifts the engineer's role to oversight. as repetitive coding syntax, first-draft specifications, and documentation are now be handled in a fraction of the time at Movacy. Our experts remain actively involved at the judgement layer, responding to questions like whether the logic solves a business problem or if the architecture supports what comes next. The broader point, though, is that human intuition and industry expertise stay the moat. That comes from 10 years of building and rebuilding systems alongside the operators who use them. Watch a snippet of their conversation below. 👇 Thanks Marek for the conversation, and Irina for the great info!