--- title: "AI in Supply Chain & Logistics" description: "AI for supply chain: demand forecasting, fleet management & inventory optimization. Cut costs 15-30%." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. 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AI agents incorporate hundreds of external signals — weather forecasts, social media trends, competitor pricing, macroeconomic indicators, promotional calendars, and even satellite imagery of parking lots — to predict demand with 20-40% higher accuracy across SKU-location combinations." } }, { "@type": "Question", "name": "Can AI agents manage inventory autonomously?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. AI inventory agents continuously optimize reorder points, safety stock levels, and replenishment quantities based on real-time demand signals, lead time variability, and service level targets. They autonomously trigger purchase orders for routine replenishment, escalating only exceptions to human planners." } }, { "@type": "Question", "name": "How does AI optimize fleet management and routing?", "acceptedAnswer": { "@type": "Answer", "text": "AI routing agents process real-time traffic, weather, delivery windows, vehicle capacity, driver hours, and customer priorities to generate optimal routes dynamically. Unlike static route plans, they adapt in real-time to disruptions — rerouting shipments, reassigning vehicles, and notifying customers automatically." } }, { "@type": "Question", "name": "What is the ROI of AI in logistics?", "acceptedAnswer": { "@type": "Answer", "text": "Typical outcomes within 90 days: 15-30% reduction in logistics costs, 20-40% improvement in forecast accuracy, 25-35% reduction in inventory carrying costs, 60% reduction in vehicle idle time, and 20-30% improvement in on-time delivery rates." } }, { "@type": "Question", "name": "Can AI improve last-mile delivery performance?", "acceptedAnswer": { "@type": "Answer", "text": "AI agents optimize the most expensive segment of logistics — last-mile delivery. They predict delivery success probability, optimize delivery windows, cluster stops efficiently, and dynamically adjust routes based on real-time conditions. Clients typically see 15-25% cost reduction and 95%+ on-time delivery rates." } }, { "@type": "Question", "name": "How does Alice Labs integrate with existing ERP and WMS systems?", "acceptedAnswer": { "@type": "Answer", "text": "We connect via secure APIs and Model Context Protocol (MCP) to SAP, Oracle, Microsoft Dynamics, Manhattan, Blue Yonder, and custom WMS platforms. The AI layer reads demand signals, inventory levels, and order data from your systems and writes back optimized plans and execution commands." } }, { "@type": "Question", "name": "Can AI help with supply chain visibility?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. AI agents aggregate data from ERP, TMS, WMS, IoT sensors, carrier APIs, and external risk databases to provide end-to-end supply chain visibility. They predict ETAs with 95%+ accuracy, detect anomalies, and alert supply chain teams to potential disruptions before they impact operations." } }, { "@type": "Question", "name": "How does AI handle demand sensing vs. demand forecasting?", "acceptedAnswer": { "@type": "Answer", "text": "Demand forecasting predicts weeks/months ahead using statistical models. Demand sensing uses AI to detect real-time demand shifts — analyzing POS data, web traffic, social signals, and order patterns — to adjust forecasts daily or even hourly. We implement both, calibrated to your planning cycle." } }, { "@type": "Question", "name": "What data is needed to start AI in supply chain?", "acceptedAnswer": { "@type": "Answer", "text": "Core requirements: 12-24 months of transaction history (orders, shipments, inventory), product master data, and supplier/customer information. Nice-to-have: IoT sensor data, weather data, promotional calendars. Our discovery phase assesses data readiness and identifies gaps." } }, { "@type": "Question", "name": "Can AI predict and mitigate supply chain disruptions?", "acceptedAnswer": { "@type": "Answer", "text": "AI risk agents monitor 100+ disruption signals: geopolitical events, port congestion, raw material price volatility, supplier financial health, weather patterns, and trade policy changes. They quantify risk exposure, recommend mitigation actions (dual sourcing, safety stock, route changes), and trigger contingency plans automatically." } }, { "@type": "Question", "name": "How much are companies actually investing in supply chain AI in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "McKinsey's 2026 State of Supply Chain report shows 68% of large manufacturers now have production AI use cases in planning or execution, up from 41% in 2024. Median annual AI budgets for supply chain functions have crossed $4.2M at Fortune 1000 firms, with the largest single-line item being demand-planning agents (source: https://www.mckinsey.com/capabilities/operations/our-insights/supply-chain-2026)." } }, { "@type": "Question", "name": "What does agentic AI mean for supply chain in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Agentic AI refers to autonomous software agents that plan, decide, and act across ERP, WMS, and TMS systems without human prompts for each step. IDC's 2026 Worldwide AI Spending Guide projects agentic workflows will handle 25% of routine supply chain decisions by end of 2027, versus 3% today, driven by MCP standardization and 90-day payback on inventory-agent deployments (source: https://www.idc.com/getdoc.jsp?containerId=IDC_P33200)." } } ] } ] } ] --- ![Background for AI Supply Chain](/images/bakgrund.jpg) [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form)[sv](/industri/tillverkningsindustri) [Home](/en)[Industries](/en/industries) [Supply Chain & Manufacturing](/en/industries/supply-chain-logistics-manufacturing) AI in Supply Chain & Logistics AI for Logistics # AI Agents That Optimize Supply Chains Alice Labs builds production-ready AI agents for supply chain and logistics: demand forecasting with 20-40% higher accuracy than traditional methods, fleet management agents that reduce idle time by 60%, and inventory optimization that cuts carrying costs by 15-25%. Deployed on your infrastructure, integrated with your ERP and WMS systems. Gartner's 2026 Supply Chain Technology Survey found 74% of chief supply chain officers plan to increase AI investment this year, with generative AI moving from pilot to production in a third of enterprises (source: https://www.gartner.com/en/newsroom/press-releases/2026-supply-chain-technology-survey). Book a Discovery Call ERP/WMS Integration Edge & Cloud 30-90 Day Delivery Senior team Have a project in mind? Get a response within 24 hours — no obligation. Contact us ### Part of the team that delivers An experienced team with broad AI and tech backgrounds from leading companies ![Linus Ingemarsson, Co-founder & AI Consultant](/images/team-portrait-1.jpg) Linus Co-founder & AI Consultant ![Alice, CEO & Co-founder](/images/team-portrait-2.jpg) Alice CEO & Co-founder ![Jens, AI Consultant](/images/team-portrait-3.jpg) Jens AI Consultant ![Eric, Co-founder & AI Consultant](/images/team-portrait-4.jpg) Eric Co-founder & AI Consultant ![Lisa, Project Lead & Implementation](/images/team-portrait-5.jpg) Lisa Project Lead & Implementation ## Why enterprises pick Alice Labs Production-grade AI delivery, EU-native, senior team 100+ AI implementations shipped across Europe 85% Of clients see ROI within 12 months EU-native AI Act & GDPR ready Stockholm-based, EU data residency Senior team Hands-on delivery Experienced practitioners Ready to talk? Tell us about your goals and we'll suggest the fastest path forward. Contact us ## Results From Our Clients Verified outcomes from completed AI implementations AI Agent Food & Grocery ### AI Agent for Order Management Ljusgårda (Supernormal Greens) $250K/year saved - 83% cost reduction - 70-80% automation - 6-week implementation AI Automation Public Sector ### Document Automation: 60h → 3min Public Sector 6,400–8,000 h/year freed - 95% time reduction - 60h → 3min/doc - 1000+ hours/month saved AI Automation Media & Publishing ### AI-Driven Content Production Media Company $40K/month revenue - $100K first year - $40K/month recurring - 12-month build-up Ready to see similar results? Book a free discovery call - we'll map your highest-impact AI opportunities. Book a Discovery Call ## Top AI Use Cases in Supply Chain Where AI agents deliver the highest ROI in logistics and distribution ### 1\. Intelligent Demand Forecasting Traditional forecasting misses 30-40% of demand shifts because it relies on historical patterns alone. AI agents process hundreds of external signals — weather, social trends, competitor actions, economic indicators — to forecast at SKU-location granularity with 20-40% higher accuracy. Key Deliverables: Multi-signal demand sensing SKU-location granularity Promotional uplift modeling New product launch forecasting ### 2\. Dynamic Fleet & Route Optimization Static route planning wastes 15-20% of fleet capacity. AI routing agents adapt in real-time to traffic, weather, delivery windows, and customer priorities — optimizing routes dynamically and rerouting around disruptions automatically. Key Deliverables: Real-time route optimization Dynamic vehicle allocation Delivery window management Driver performance analytics ### 3\. Autonomous Inventory Management Overstocking and stockouts cost retailers $1.1T globally. AI inventory agents optimize reorder points, safety stock, and replenishment quantities continuously — balancing service levels against carrying costs across thousands of SKU-location combinations. Key Deliverables: Dynamic safety stock optimization Automated replenishment Multi-echelon inventory planning Obsolescence risk prediction ## Built for Operational Scale ### ERP-Native Integration SAP, Oracle, Dynamics, and custom ERP connectivity via secure APIs and Model Context Protocol. ### Multi-Echelon Planning Optimize inventory and logistics across warehouses, DCs, retail locations, and last-mile simultaneously. ### Disruption Intelligence 100+ risk signal monitoring with automated contingency triggering and supplier risk scoring. ### Real-Time Execution Sub-minute decision cycles for routing, inventory, and demand sensing — not batch processing. ### IoT & Edge Deployment AI models running on edge devices for fleet telematics, warehouse robotics, and sensor analytics. ### Measurable ROI Dashboard Real-time tracking of forecast accuracy, fill rates, logistics costs, and delivery performance. Let's discuss your AI journey Our team will help you prioritize use cases and build a concrete roadmap. Book a Meeting ## Explore Other Industries Alice Labs delivers AI agents across every major industry vertical [ ### Finance, Banking & Insurance Explore ](/en/industries/finance-banking-insurance)[ ### AI in Banking Explore ](/en/industries/ai-in-banking)[ ### AI in Insurance Explore ](/en/industries/ai-in-insurance)[ ### AI in Wealth Management Explore ](/en/industries/ai-in-wealth-management)[ ### Healthcare & Life Sciences Explore ](/en/industries/healthcare-life-sciences)[ ### AI in Healthcare Explore ](/en/industries/healthcare) [View all industries](/en/industries) ### Our Core AI Services [AI Consulting](/en/ai-consulting)[AI Strategy](/en/ai-strategy)[AI Automation](/en/ai-automation)[AI Agents](/en/ai-agents)[AI Discovery](/en/ai-discovery)[AI Implementation](/en/ai-implementation-consultant) ## What Our Clients Say "We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated." Andreas Wilhelmsson CEO & Co-founder Supernormal Greens / Ljusgårda "Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!" Åsa Nordin IT Manager Trollhättan Energi "The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results." Frida Partner Manager Bruce Studios "Fast, professional, and wonderful people. Find out for yourself <3" Johannes Hansen Founder Johannes Hansen AB ## Frequently Asked Questions ### How does AI demand forecasting differ from traditional methods? Traditional forecasting relies on historical sales data and seasonal patterns. AI agents incorporate hundreds of external signals — weather forecasts, social media trends, competitor pricing, macroeconomic indicators, promotional calendars, and even satellite imagery of parking lots — to predict demand with 20-40% higher accuracy across SKU-location combinations. ### Can AI agents manage inventory autonomously? Yes. AI inventory agents continuously optimize reorder points, safety stock levels, and replenishment quantities based on real-time demand signals, lead time variability, and service level targets. They autonomously trigger purchase orders for routine replenishment, escalating only exceptions to human planners. ### How does AI optimize fleet management and routing? AI routing agents process real-time traffic, weather, delivery windows, vehicle capacity, driver hours, and customer priorities to generate optimal routes dynamically. Unlike static route plans, they adapt in real-time to disruptions — rerouting shipments, reassigning vehicles, and notifying customers automatically. ### What is the ROI of AI in logistics? Typical outcomes within 90 days: 15-30% reduction in logistics costs, 20-40% improvement in forecast accuracy, 25-35% reduction in inventory carrying costs, 60% reduction in vehicle idle time, and 20-30% improvement in on-time delivery rates. ### Can AI improve last-mile delivery performance? AI agents optimize the most expensive segment of logistics — last-mile delivery. They predict delivery success probability, optimize delivery windows, cluster stops efficiently, and dynamically adjust routes based on real-time conditions. Clients typically see 15-25% cost reduction and 95%+ on-time delivery rates. ### How does Alice Labs integrate with existing ERP and WMS systems? We connect via secure APIs and Model Context Protocol (MCP) to SAP, Oracle, Microsoft Dynamics, Manhattan, Blue Yonder, and custom WMS platforms. The AI layer reads demand signals, inventory levels, and order data from your systems and writes back optimized plans and execution commands. ### Can AI help with supply chain visibility? Yes. AI agents aggregate data from ERP, TMS, WMS, IoT sensors, carrier APIs, and external risk databases to provide end-to-end supply chain visibility. They predict ETAs with 95%+ accuracy, detect anomalies, and alert supply chain teams to potential disruptions before they impact operations. ### How does AI handle demand sensing vs. demand forecasting? Demand forecasting predicts weeks/months ahead using statistical models. Demand sensing uses AI to detect real-time demand shifts — analyzing POS data, web traffic, social signals, and order patterns — to adjust forecasts daily or even hourly. We implement both, calibrated to your planning cycle. ### What data is needed to start AI in supply chain? Core requirements: 12-24 months of transaction history (orders, shipments, inventory), product master data, and supplier/customer information. Nice-to-have: IoT sensor data, weather data, promotional calendars. Our discovery phase assesses data readiness and identifies gaps. ### Can AI predict and mitigate supply chain disruptions? AI risk agents monitor 100+ disruption signals: geopolitical events, port congestion, raw material price volatility, supplier financial health, weather patterns, and trade policy changes. They quantify risk exposure, recommend mitigation actions (dual sourcing, safety stock, route changes), and trigger contingency plans automatically. ### How much are companies actually investing in supply chain AI in 2026? McKinsey's 2026 State of Supply Chain report shows 68% of large manufacturers now have production AI use cases in planning or execution, up from 41% in 2024. Median annual AI budgets for supply chain functions have crossed $4.2M at Fortune 1000 firms, with the largest single-line item being demand-planning agents (source: https://www.mckinsey.com/capabilities/operations/our-insights/supply-chain-2026). ### What does agentic AI mean for supply chain in 2026? Agentic AI refers to autonomous software agents that plan, decide, and act across ERP, WMS, and TMS systems without human prompts for each step. IDC's 2026 Worldwide AI Spending Guide projects agentic workflows will handle 25% of routine supply chain decisions by end of 2027, versus 3% today, driven by MCP standardization and 90-day payback on inventory-agent deployments (source: https://www.idc.com/getdoc.jsp?containerId=IDC\_P33200). Have more questions? Let's talk. No commitment - just a conversation about what AI can do for your business. Book a Call ## Ready to Optimize Your Supply Chain? Tell us about your challenges. We'll respond within 24 hours. Name \* Company \* Email \* Phone (optional) Tell us about your goals Book a Discovery Call ## Explore more AI services Combine multiple services for maximum impact – we help you find the right mix [ ### AI Training Practical AI training for your entire team Learn more ](/en/ai-training)[ ### AI Consulting Strategy, implementation, and results Learn more ](/en/ai-consulting)[ ### AI Strategy Roadmap, use cases, and ROI planning Learn more ](/en/ai-strategy) ### Industries We Serve [Finance, Banking & Insurance](/en/industries/finance-banking-insurance)[Healthcare & Life Sciences](/en/industries/healthcare-life-sciences)[Supply Chain & Manufacturing](/en/industries/supply-chain-logistics-manufacturing)[Professional Services](/en/industries/professional-services)[All industries →](/en/industries) ### Alice Labs AB AI Automation & Creative Solutions in an AI Wonderland Org.nr: 559443-5470 Hammarbybacken 27 120 30 Stockholm, Sweden [+46 73 415 74 76](tel:+46734157476) [alice@alicelabs.ai](mailto:alice@alicelabs.ai) [LinkedIn →](https://se.linkedin.com/company/alicelabsai)[Google →](https://www.google.com/search?q=Alice+Labs+Stockholm+AI) #### Services [AI Training](/en/ai-training)[AI Consulting](/en/ai-consulting)[AI Automation](/en/ai-automation)[AI SEO](/en/ai-seo)[AI Agents](/en/ai-agents)[AI Search](/en/ai-search) #### Research & Insights [All insights →](/en/insights)[AI Search & LLMO](/en/insights/ai-search)[AI Strategy](/en/insights/ai-strategy)[AI Implementation](/en/insights/ai-implementation)[AI Agents](/en/insights/ai-agents)[AI Statistics](/en/insights/ai-statistics)[AI for Industries](/en/insights/ai-industries) #### Quick links [All industries →](/en/industries)[All functions →](/en/function)[AI Agency](/en/ai-agency)[What we do](/en#welcome)[About Alice](/en/about)[Case](/en#cases)[Contact](/en#email-form) #### AI Strategy [Enterprise AI Strategy](/en/enterprise-ai-strategy)[Generative AI Strategy](/en/generative-ai-strategy)[AI Data Strategy](/en/ai-data-strategy)[AI Go-To-Market Strategy](/en/ai-go-to-market-strategy)[AI Content Strategy](/en/ai-content-strategy) #### AI Implementation [AI Implementation Consultant](/en/ai-implementation-consultant)[AI Implementation Partner](/en/ai-implementation-partner)[Done-For-You AI](/en/done-for-you-ai-implementation)[Enterprise AI Consulting](/en/enterprise-ai-consulting)[AI Consulting Europe](/en/ai-consulting-europe)[Conversational AI Consulting](/en/conversational-ai-consulting) © 2026 Alice Labs. 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