How QAD partners are shaping the future of manufacturing

The future of manufacturing isn't just about AI and digital operations—it's about the talent who will design, implement, and run them. At QAD | Redzone, we're not just watching the shifts like adaptive supply chains and AI-driven quality systems; we're building the teams to make them happen. If you're passionate about where the industry is heading, this piece is a great snapshot of what we're focused on. 👇 What’s coming next in manufacturing? We’re already seeing the shifts—from adaptive supply chains to AI-driven quality systems and resilient digital operations. In our latest blog, QAD partners share how they envision and prepare for the future. http://bit.ly/3Kpm0UOT

How will supply chains in 2035 look like? Great to see our cover story in the leading German #SCM magazine Logistik Heute! In the past year SAP and Kuehne Logistics University conducted a joint study to understand the supply chain 2035. First hint: supply chains will look very different based on the companies‘ maturity and ambitions - not a surprise but good to remember. With the input of hundreds of practitioners we studied their bright expections for 2035 but also the partially sad reality today. Based on this we looked into the realistic transformation of plan, source, make and deliver processes. And here is another hint: while AI and data will certainly help, many companies will struggle to exceed today’s industry best practices unless they start working on some no-regret-moves today. There is a short seven page summary in German in the recent print issue of LOGISTIK HEUTE. We expect the English summary to follow in November. Thanks a lot to Jörg Wilke, Florian Diehlmann and the entire SAP team. #scm

🚀 The Hidden Cost of Separating Logistics and Supply Chain Most companies don’t even realize they’re bleeding money from one simple structural mistake - 👉 separating logistics and supply chain. I’ve seen this again and again - factories, distributors, manufacturers. Procurement plans without knowing delivery constraints. Logistics rushes because no one told them what’s coming. The result? Duplicate orders, emergency shipments, inflated costs, and chaos disguised as “urgency.” Why does it keep happening? Because companies still follow legacy org charts — structures built before real-time data and integrated systems existed. Each department protects its own KPIs instead of owning the end-to-end flow. The fix isn’t another ERP or AI tool. It’s structural: ✅ Unify logistics and purchasing under one leadership flow ✅ Share live data for transparency and accountability ✅ Measure performance as one team, not two departments Because no software can fix a broken structure. #SupplyChain #Logistics #Procurement #Manufacturing #OperationsExcellence #ProcessAutomation #DigitalTransformation #ERP #AI #DataIntegration #Leadership #OperationalExcellence #BusinessTransformation #Efficiency #SCM #SupplyChainManagement #Transparency #BusinessAutomation #ContinuousImprovement #alexeyfedchenko

This week, The ARP Manifesto will be live on Amazon. It’s more than a book. It’s the public declaration of a new category: Agentic Resource Planning (ARP), the AI-native replacement for ERP in manufacturing. For decades, manufacturers have been locked into systems that are rigid, slow, and expensive to maintain. ERPs were never built to be intelligent, and they never will be. At best, they can wrap AI around their legacy cores. ARP is different. It’s AI-native, built on agents, ephemeral UIs, and real-time orchestration. It’s fast to deploy, adaptive by design, and built for the factories of the future. This short edition of the manifesto is the starting point. In December, I’ll release the full book, with 20 documented ERP failures (Lidl, Hershey’s, Boeing, Revlon and more) that prove why the shift from ERP to ARP is inevitable. Elementra is pioneering this category, but this book is for everyone who believes the future of manufacturing requires bold new systems, not patches on old ones. ERP is dead. ARP begins now. #AgenticResourcePlanning #AIManufacturing #ARP #ERPvsARP #Elementra

🤔 **Question for Warehouse Leaders:** What's your biggest WMS challenge heading into Q4 2025? As we approach the final quarter, I'm curious about the pain points you're experiencing with your warehouse management systems. From my conversations with industry peers, here's what I'm hearing most: 📊 **Real-time visibility gaps** - "We can track inventory, but not labor productivity in real-time" 🔄 **Integration headaches** - "Our WMS talks to our ERP, but not our new robotics system" ⚡ **Peak season scalability** - "The system works great at 70% capacity, but crashes during holiday rushes" 🎯 **ROI measurement struggles** - "We know it's helping, but can't quantify the exact savings" The interesting trend I'm seeing? Companies that invested in AI-powered WMS modules in 2024 are reporting 23% better demand forecasting accuracy this year. But the learning curve was steeper than expected. **My take:** The "perfect" WMS doesn't exist, but the *right* WMS for your specific operation absolutely does. It's about matching your unique challenges with the right technology stack. **So, warehouse professionals** - what's keeping you up at night when it comes to your WMS? Is it integration complexity, user adoption, or something else entirely? Drop your biggest challenge in the comments. Let's crowdsource some solutions! 👇 #WarehouseManagement #WMS #SupplyChain #LogisticsTech #WarehouseOptimization --- Book a Free WMS Consultation at https://lnkd.in/epDTDyaA

How to keep your supply chain resilient? 👀 This piece from SAP has you covered with the five ways data and AI can fuel intelligent supply chains. Read more 👉 https://imsap.co/6042A5b26

In manufacturing, disruptions rarely announce themselves. A delayed shipment of a single raw material often slips under the radar until it halts an entire production line. By the time traditional ERP systems raise an alert, it’s often too late. The damage is done: downtime, delayed orders, and frustrated customers. This is the problem we recently solved for one of our manufacturing clients The Challenge: Our client was dealing with: - Unnoticed shipment delays that cascaded into production stoppages. - ERP alerts arriving too late, reactive rather than proactive. - Complex supplier networks spread across geographies, with no single source of truth. Every hour of downtime costs so much. What they needed was not just better data, but a system that could think, reason, and act like a supply chain expert, autonomously. The Solution: Agentic AI in Action We built a multi-agent system that worked as an intelligent layer on top of their ERP and supplier portals. Each agent had a clear role: 1. Procurement Agent → Monitored supplier confirmations, delivery schedules, and historical reliability. 2. Logistics Agent → Tracked shipments in real time (GPS, IoT sensors, port congestion data). 3. Production Agent → Simulated the impact of delays on manufacturing timelines and resource allocation. 4. Risk Agent → Ran “what-if” scenarios (e.g., What happens if this shipment is delayed by 48 hours?) and suggested mitigation steps. All of this was orchestrated by a central AI Orchestrator, a decision-making layer that ensured these agents didn’t work in silos, but instead collaborated continuously. How did it work? 1. The Logistics Agent flagged a probable delay due to port congestion. 2. The Risk Agent simulated the impact on production, identifying a 36-hour downtime risk. 3. The Procurement Agent instantly scanned alternative suppliers and suggested an expedited shipment. 4. The Production Agent re-sequenced the production plan to minimize downtime while the substitute raw material arrived. Instead of an ERP alert arriving too late, the Agentic AI system acted proactively, well before the disruption became visible. The Results: - Zero unplanned downtime in the last quarter. - Faster supplier response time through proactive alerts. - Smarter resource utilization by dynamically adjusting production schedules. Most importantly, our client no longer “reacts” to disruptions. They stay ahead of them. Why This Matters? Agentic AI isn’t just about automation; it’s about orchestration. It’s about creating intelligent agents that collaborate like a digital supply chain team, constantly monitoring, reasoning, and acting. Manufacturing can’t afford to wait for problems to appear. With Agentic AI, disruptions aren’t silent anymore. At Grids and Guides, we’re helping manufacturers reimagine supply chain resilience through agentic orchestration. What’s your biggest supply chain challenge today? #Manufacturing #SupplyChain #AI #AgenticAI #Innovation

How to keep your supply chain resilient? 👀 This piece from SAP has you covered with the five ways data and AI can fuel intelligent supply chains. Read more 👉 https://imsap.co/6049Ab2JV

How to keep your supply chain resilient? 👀 This piece from SAP has you covered with the five ways data and AI can fuel intelligent supply chains. Read more 👉 https://imsap.co/6040AqQ2k

How to keep your supply chain resilient? 👀 This piece from SAP has you covered with the five ways data and AI can fuel intelligent supply chains. Read more 👉 https://imsap.co/6041A7xU3