How AI can Transform Supply Chain Management

Operational excellence is a backbone of retail success. Agentic AI bolsters operational efficiency by bringing adaptive automation to everything from supply chains to store operations. Traditional automation follows predefined rules, but agentic AI is different- it adapts on the fly, learning from each interaction and outcome. This adaptability is vital in retail, where conditions change rapidly (think sudden supply disruptions or viral social media trends). We’re already seeing efficiency gains in AI-enabled operations. A recent industry study found that AI-driven “connected retail” solutions dramatically increase operational efficiency, in turn boosting profits while even reducing carbon footprint. For example, AI-driven route optimization in delivery can save fuel and ensure faster deliveries, while AI-based inventory management cuts down overstock and waste. Grocery retailers using AI to fine-tune ordering of fresh products have significantly reduced costly food waste even as they increase profit margins, a double win for business and sustainability. The power of agentic AI is that it doesn’t stop at insights- it sees tasks through to execution. In operations, this means an AI agent might detect an incoming snowstorm (perceive), infer that store foot traffic will drop and online orders will surge (reason), automatically reallocate inventory to the online warehouse and reroute delivery trucks (act), then observe the outcomes to update its storm-response playbook (learn). Each of these steps happens with minimal manual input. In fact, Boston Consulting Group reports that automation with AI can increase revenues by up to 5% in less than a year by finding these kinds of efficiency tweaks across the operation. When every percentage point of margin counts, AI’s ability to continuously fine-tune operations is revolutionary. #artificialintelligence #retailAI #agenticAI

🚀 Shaping the Future of Supply Chains with AI, Computer Vision & Digital Twins Excited to be featured in FreightWaves, where I shared why the intersection of AI computer vision, digital twins, and real-world operations is so transformative. From my experience at A.P. Moller - Maersk to today at Interwoven Ventures, I’ve seen how these technologies can revolutionize supply chain resilience and efficiency: Unloading containers: Deploying smart cameras and AI raised prediction accuracy to ~82%—enabling minute-by-minute insights into workforce throughput and driving new performance incentives. Streamlining drayage: By consolidating data from 13 systems into a digital twin, we unlocked visibility, operational clarity, and multi-million‑dollar savings. What‑if scenario planning: Digital twins allow us to model disruptions—be it tariffs, wars, pandemics—and proactively engineer the resilient supply chains of tomorrow. My core message: “You have to declare what your problems are first, so then you can actually measure them.” Digital twins and AI shouldn’t be deployed for hype—they should be precision tools built to solve defined challenges . As co‑founder and GP at Interwoven Ventures, I’m keen to support #founders and execs driving these real-world solutions. If you’re developing tools that merge data, AI, vision, and operational benchmarks to streamline logistics—let’s connect! 🔗 Read the full article here: https://lnkd.in/grZVx443 Thanks to Noi Mahoney and the team at FreightWaves for the thoughtful coverage. #SupplyChainTech #DigitalTwins #AI

After talking with many people in my network it seems that most companies want AI to talk before it can think. They rush to build chatbots, LLM copilots, and dashboards with sparkly graphs. But behind the scenes? The supply chain’s still a hot mess. Reactive, rigid, and running on spreadsheets. Stochastic optimization is the brain your supply chain actually needs. Why? Because the real world is messy. Demand shifts. Ports clog. Tariffs surprise. Trucks break down. Labor no-shows. You can’t solve that with a chatbot. Stochastic optimization gives you decision-making under uncertainty. It doesn’t just react to the future, but it plans for it. It doesn’t just report what happened, but it chooses what should happen next. Want AI to really transform your supply chain? Build the brain first. Then let it talk. #Optimization #DataScience #SupplyChain #MachineLearning #AI

Solving Supply Chain Disruptions with AI: A Game Changer for CPG & Food Retailers Supply chain disruptions once felt impossible to solve - unpredictable, costly, and reactive. But with Gen AI and advanced intelligence tools, we’re shifting from crisis management to proactive resilience. The future of supply chains is no longer uncertain - it’s intelligent. 🚨 Why does this matter? Big food retailers and CPG companies lose millions of dollars yearly due to supply chain disruptions caused by: 🌍 Climate events 🦠 Pest & disease outbreaks ⚠️ Geopolitical shifts 📜 Trade policy changes 😷 Global crises such as pandemics The good news? AI is transforming the way we tackle each of these challenges. How AI is Revolutionizing Supply Chain Resilience 🔮 Yield Prediction Early warnings on potential shortages AI-powered agri-intelligence predicts current & future crop yields 💰 Price Management Forecast shortages & lock in procurement contracts before prices surge ⛈️ Weathering Climate Impact Anticipate disease outbreaks & extreme weather events Develop proactive strategies and climate-smart practices to minimize impact 📦 Shifting Procurement Strategies Identify best-suited regions to shift sourcing before crises hit Leverage Gen AI to mitigate supply chain risks in advance ✅ Beyond Compliance: EUDR & Policy Readiness The EUDR (EU Deforestation Regulation) will disrupt supply chains for coffee, cocoa, rubber, soy & palm oil AI-powered platforms help turn compliance into a strategic advantage, not a burden AI is a Strategic Priority—And 2025 is a Milestone Year 🔹 Nearly 60% of CPG leaders in PwC’s Digital Trends in Operations survey are investing in emerging tech 🔹 AI is delivering cost & efficiency benefits worldwide, yet agri-food industries are just scratching the surface 🔹 2025 will be the year AI becomes a game changer in agri-food transformation At Cropin, we empower our customers with data and Gen AI innovations, driving their supply chain transformation. Now, we're taking it a step further with futuristic breakthroughs like Agentic AI & Agri-Informed Neural Networks. The future of food supply chains is AI-powered, resilient, and built for growth. 🚀 #AI #SupplyChain #CPG #FoodRetail #GenAI #Agritech #Innovation #Cropin

AI is transforming supply chain risk management. What used to take weeks: - Identifying risks - Analyzing data - Making decisions Can now happen in real time. Here’s how AI is reshaping the game: - Predictive Analytics AI models analyze vast amounts of data to forecast potential disruptions before they happen. - Real-Time Monitoring Sensors and AI tools provide 24/7 visibility, flagging risks as they emerge. - Scenario Planning Simulations powered by AI allow companies to test “what if” scenarios and prepare for the unexpected. - Dynamic Risk Scoring AI continuously evaluates risks based on changing conditions, helping prioritize where to focus resources. - Automation Routine tasks like supplier audits or compliance checks can now run autonomously, freeing up teams for strategic decisions. But here’s the challenge: AI isn’t a magic bullet. It’s only as good as the data and processes behind it. The companies that succeed will: - Invest in high-quality, integrated data systems. - Build teams that understand both supply chain risks and AI tools. - Blend human expertise with AI-driven insights for better decisions. The future of supply chain risk management isn’t just smarter. It’s faster and more proactive. Are you ready for what’s next?

🚢Supply chains aren’t broken. They’re brittle—too rigid for a world that changes by the hour. To stay resilient, companies must adjust their sails—modernizing not just for efficiency, but for agility, visibility, and adaptability. Here are the technologies powering this transformation: ⸻ 🔧 Tech That’s Reshaping Supply Chains 1. AI + Predictive Analytics (Microsoft Azure AI) → From reactive to proactive: anticipate demand shifts, optimize routes, and rebalance inventories dynamically. 2. Digital Twins (AWS IoT TwinMaker) → Simulate your entire supply chain—see where stress points form before they break. 3. Intelligence Layer (Palantir Technologies Foundry) → Integrate siloed data into one operational picture to make better decisions, faster. 4. Edge Computing & IoT (AWS Greengrass, Microsoft Azure Percept) → Real-time monitoring at the source: track goods, detect issues, and respond instantly—even without centralized systems. 🚢 “I can’t change the direction of the wind, but I can adjust my sails to always reach my destination.” – Jimmy Dean ⸻ 📌 3 Business Takeaways 1. Visibility is no longer optional. If you can’t see your supply chain in real time, you’re driving blind. 2. Resilience comes from orchestration, not overstocking. You don’t need more—just smarter, faster coordination. 3. It’s not about control—it’s about seeing around corners, responding to good data. 🧭Build a supply chain that can bend without breaking. 🧠 How are / would you increase adaptability? How important is flexibility and agility in YOUR world? #SupplyChain #DigitalTwins #AI #IoT #MicrosoftPartner #AWSpartner #Palantir #LogisticsInnovation #Resilience #Softura #PoweredByAgility