Logistics Teams Want Innovation, But Reliable Infrastructure First

Code & Co. provided AI & Tech Due Diligence to Cinven ahead of its investment in Ongoing, a fast-growing, Sweden-based leading provider of cloud-native Warehouse Management System ('WMS') solutions, with Ongoing's founders remaining significant shareholders and partners in the business. The assessment evaluated Ongoing's cloud-native WMS, software architecture, integration ecosystem, and use of AI for automation, optimization, and decision-making across warehouse operations. It also examined the technology stack, hosting infrastructure, scalability, and cybersecurity, and concluded with a review of Ongoing's engineering organization, software development lifecycle, and the key considerations for supporting continued product development and growth. Congratulations to Dr. Michael Weber, Felix Rieger, Nathan Atkinson, Tom Thomasson, Alexander Matlari, Poppy Barrett-Fish, Pauline Schüller, and everyone else involved! More information: https://lnkd.in/e9bEJXS3 #AIDD #TechDD #PE

The conversation around logistics modernization is finally shifting in the right direction. A lot of smart people are highlighting the same core issue: the U.S. supply chain isn’t failing because of drivers, it’s failing because of coordination. Outdated regulatory frameworks, fragmented systems, and siloed operational tools are creating inefficiencies that no amount of “driver shortage” narratives can explain away. That part is absolutely correct. But here’s the deeper truth: Modernizing logistics isn’t just about improving coordination platforms — it’s about establishing a unified national operating standard. Most solutions today focus on platform‑level visibility or workflow optimization. Those are important pieces, but they’re still pieces. They operate inside the existing fragmentation. JetsOS was engineered to solve the layer beneath all of that. -Not another TMS. -Not another coordination tool. JetsOS is a federal‑grade logistics operating system. A unified organism that synchronizes drivers, carriers, shippers, regulators, and infrastructure into one constitutional framework. - Real‑time operational intelligence - Compliance automation - Constitutional governance - Multi‑system orchestration - Driver‑first human‑machine hybrid design This is the layer that platforms plug into, not compete against. The industry doesn’t just need better tools. It needs a standard. One that treats logistics as critical infrastructure, not a collection of disconnected apps. The momentum we’re seeing across the sector is encouraging. It means people are finally recognizing the scale of the problem. JetsOS exists because the solution has to match that scale. Logistics doesn’t need another platform. It needs an operating system. And that’s exactly what JetsOS is. #drivershortage #LogisticsInfrastructure #UnifiedSystemIntelligence #SupplyChainModernization #TransportationTechnology #FreightTech #OperationalIntelligence #CriticalInfrastructure #AIinLogistics #DriverCentricDesign #HumanMachineIntegration #NationalLogistics #InterstateCommerce #ComplianceAutomation #RealTimeVisibility #SystemsEngineering #LogisticsLeadership #FreightMovement #InfrastructureInnovation #ModernizingLogistics #CoordinationTechnology #IntelligentTransportSystems #AmericanSupplyChain #FutureOfLogistics #OperationalExcellence #LogisticsStrategy #DigitalTransformation #AIInnovation #TechLeadership #SystemsArchitecture #PublicSectorInnovation #GovernmentSectorDevelopment

Technology gets a lot of attention in logistics. But most successful projects have surprisingly little to do with technology. They succeed because people communicate clearly. Because expectations are aligned. Because teams are willing to challenge old habits and work toward a common goal. The software matters. The infrastructure matters. The integrations matter. But none of them can replace trust, collaboration, and a shared understanding of what success actually looks like. The longer you work in logistics and IT, the more you realize that projects are built by people first and systems second. That's probably not the most exciting lesson. But it might be the most important one. #IT #AI #Tech #Logistics #ITforLogistics

The biggest myth slowing operators down: "a project like this takes a year." It used to. Integration and mapping your operation were the bottleneck. They are not anymore. A new member of our team, in his first week, pulled a live connection to a warehouse system's open APIs and had something testable in a single day. The kind of thing that used to take a quarter and a team of engineers. What changed is simple. The cost of building this collapsed. What used to take eighteen months behind a Fortune 50's walls is now live in weeks for a mid-market operator. If the reason you are waiting is "this is a huge project," that reason expired. Start small, prove it on one workflow, scale as the receipts come in. #AgenticAI #DigitalTransformation #SupplyChain #Operations

This is the part of AI adoption I think gets underestimated. The breakthrough isn’t just that the models got better. The cost and time required to actually deploy something useful collapsed. In supply chain, we’ve spent years accepting 12–18 month implementations, armies of consultants, and massive integration projects as the price of modernization. That math has changed. Start with one ugly, expensive workflow. Connect the data you already have. Prove the outcome. Then expand. AI transformation doesn’t need to start with a transformation project. That may be the biggest shift of all.

A super app or enterprise ecosystem is only as powerful as its connection to daily, real-world movement. Today, I’m excited to share a look at the next frontier for our ecosystem framework: FlowOps Logistics. Software shouldn’t just live in the cloud—it needs to orchestrate physical assets seamlessly. We are engineering the deep middle-tier systems required to eliminate structural offline friction, optimize routing, and unify fragmented transit corridors. From a centralized platform perspective, our logistics framework focuses on four critical layers: 🔹 Smart Warehousing – High-throughput inventory automation and predictive fulfillment architecture. 🔹 AI-Route Optimization – Real-time dynamic routing layers built to tackle complex last-mile challenges. 🔹 Autonomous Fleet Management – Next-gen dispatch coordination, telemetry streaming, and automated vehicle orchestration. 🔹 Cross-Border Customs Integration – Streamlined, digital compliance rails to accelerate movement across regional trade corridors (like the SADC region). Whether it’s embedding hyper-local courier networks directly into social commerce interfaces or powering massive enterprise freight systems, we are building the technical DNA that keeps commerce moving. The infrastructure of innovation is physical, automated, and moving fast. Let's build. https://app.flowop.work

A recent JBF Consulting Sentiment Guide assessed Shipium's platform and ecosystem, scoring us across four areas: 1️⃣ Product and Services Strategy 2️⃣ Investment in Intelligence 3️⃣ Compass Advisory Services, and 4️⃣ Always-On Audit. We're glad we're headed in the right direction, especially for shippers where parcel performance hits revenue, margin, and customer loyalty directly. What actually moves the needle for modern operators is infrastructure that covers the whole shipment lifecycle — from the delivery promise you make at checkout to the invoice you reconcile later. That's the gap we set out to close. Shipium connects Delivery Promise, carrier selection, and execution on one end to billing and audit on the other, with Shipping AI running as the lynchpin. Not another point solution stapled onto legacy tools, but real promise-to-payment infrastructure, built for how complex enterprise supply chains actually work. Getting recognized for this is a nice validation of a bet we made early: That shipping is too important to treat like a back-office chore. We're going to keep building for the operators who agree. You can read the Sentiment Guide here: https://lnkd.in/eryHE3gP Thanks for the acknowledgement, JBF Consulting.

Starbucks decision to build more software in-house instead of relying on an ever-growing stack of SaaS tools isn’t an isolated event. It’s part of a much larger shift we’re seeing across the enterprise. At TechAhead, we’re increasingly working with companies looking to replace fragmented SaaS ecosystems with bespoke platforms tailored to their business. The math is becoming hard to ignore: - Lower long-term software costs - Complete ownership of data and IP - AI deeply embedded into business workflows - Faster innovation without vendor limitations - A single platform instead of dozens of disconnected tools The challenge isn’t recognizing the opportunity. It’s having the engineering capability to build secure, scalable, production-grade software that can replace systems businesses depend on every day. That’s where the right engineering partner makes the difference. Building in-house doesn’t always mean building by yourself. It means owning the platform while leveraging experienced partners to accelerate delivery, reduce execution risk, and bring enterprise-grade engineering from day one. I believe this will become one of the defining enterprise software trends over the next five years.

Cart2Cargo Technology Launch: Rewriting Global Supply Chains From Vancouver, BC VANCOUVER, BC — A new era of logistics technology officially began on July 18, 2026, with the founding of Cart2Cargo Technology. Headquartered in the tech hub of Vancouver, British Columbia, Cart2Cargo is built on a clear, disruptive belief: the technology powering global supply chains is decades behind the massive problems it is trying to solve. Cart2Cargo is setting out to fix that gap once and for all by deploying an advanced, unified Artificial Intelligence infrastructure designed for the modern world. One Platform, Total Visibility Traditional logistics operations are notoriously fragmented. Warehouses use one software, middle-mile transit uses another, and last-mile couriers rely on a third. This creates data silos, communication blind spots, and costly inefficiencies. Cart2Cargo unifies every single logistics operation—from warehouse to doorstep—into a single AI-powered platform. By bridging these disconnected systems, Cart2Cargo enables businesses to make smarter decisions, unlock faster deliveries, and dramatically lower operational costs. Smarter Decisions, Faster Deliveries, Lower Costs The platform leverages machine learning, agentic AI, and real-time data streaming to optimize supply chains dynamically. What does that mean in practice? Predictive Warehousing: Smart inventory placement that anticipates consumer demand. Intelligent Routing: Dynamic, real-time adjustments to shipping routes to bypass port congestion, traffic, or weather delays. Last-Mile Efficiency: Streamlining the most expensive leg of the supply chain—the final delivery—to ensure precision timing at a fraction of the traditional cost. A Note From the Foundation We didn’t launch Cart2Cargo to make incremental improvements to old systems. We launched it because the backbone of global commerce is running on outdated tech. By embedding intelligence at every stage of the journey, we are fundamentally rewriting how logistics works. As global shipping demands continue to scale exponentially, Cart2Cargo’s arrival marks a vital shift toward autonomous, resilient, and highly efficient supply chain ecosystems. Keep an eye on this Vancouver-based team as they roll out their initial pilot programs and begin onboarding early partners this summer.

Most digital transformations don’t fail on the technology. They fail underneath it — on the process nobody standardized, the data nobody governed, and the operating model where no one actually owned the outcome. In a GxP environment, that’s the difference between a capability you can validate and one you can’t. The Operating Room is a new publication on the gap between digital ambition and operational reality in regulated life sciences. Written from inside manufacturing, supply chain, quality, and technical development. First post: what actually breaks, and why it’s rarely what gets blamed. Roughly monthly. No paywall. Link in comments.