Episode 25 - AI in Supply Chain: Practical Cases | Rahul Ranjan Srivastava (Founder, Intellimark AI) скачать в хорошем качестве

Episode 25 - AI in Supply Chain: Practical Cases | Rahul Ranjan Srivastava (Founder, Intellimark AI)

Artificial Intelligence is transforming how supply chains forecast, operate, and make decisions. In this conversation with Rahul Ranjan Srivastava, Founder of Intellimark AI, we explore real industry applications of AI, break common myths, and discuss how technology is augmenting—not replacing—human capability. 👉 Topics Covered: 00:55 - Guest Introduction 01:59 - AI & Supply Chain Combination 04:40 - Myths vs Realities 09:46 - Industry Case Studies 17:21 - Demand Forecasting - Use Case 27:54 - AI’s impact on day-to-day tasks 33:15 - Data Hygiene and its importance 38:51 - Skills & change in last 10 years 44:50 - Supply Chain in next 3–4 years 📈 Key Takeaway: AI in supply chain is not the future — it’s the present reality. Learn what’s driving the next wave of transformation and how you can prepare. 🎙️ Guest: Rahul Ranjan Srivastava, Founder – Intellimark AI 🌐 About Intellimark AI: Founded by AI researchers and technology visionaries, Intellimark AI believes in using artificial intelligence to enhance human capability, not replace it. 📺 Watch next: 🔹    • Episode 24 - Why & How to Make Your Supply...   🔹    • Episode 23 - Electronic, Plastic & Metal C...   🎧 Listen on Spotify: https://open.spotify.com/show/1Z9bJZn... 📱 Follow on Instagram:   / allaboutsupplychainpodcast   📩 Subscribe for real supply chain insights: ALL ABOUT SUPPLY CHAIN What are real-world examples of AI in supply chain? How is AI transforming supply chain management? What are practical use cases of AI in logistics and operations? How does artificial intelligence improve demand forecasting? What are the top AI tools used in supply chain today? Can AI help in supplier management and procurement? How does data hygiene impact AI in supply chain? What are the myths vs realities of AI in supply chain? How can companies use AI for predictive supply chain planning? What skills are needed for supply chain professionals in the age of AI? How will AI change supply chain jobs in the next 3–4 years? What is the future of demand forecasting with AI? How can AI enhance daily decision-making in supply chain? What are some industry case studies on AI in logistics? How do AI startups like Intellimark AI contribute to supply chain innovation? What is the role of machine learning in inventory optimization? How can AI improve data accuracy and integrity in supply chain? How do companies combine AI and human intelligence effectively? What challenges prevent AI adoption in supply chain today? How can supply chain leaders prepare for the AI-driven future? #AIinSupplyChain #SupplyChainInnovation #ArtificialIntelligence #MachineLearning #AIDrivenSupplyChain #DemandForecasting #SupplyChainManagement #LogisticsTechnology #ProcurementAI #FutureOfSupplyChain #AIUseCases #DataDrivenSupplyChain #SmartLogistics #SupplyChainAutomation #AITransformation #DigitalSupplyChain #SupplyChainAnalytics #AIInBusiness #SupplyChainProfessionals #DataHygiene #SupplyChainFuture #AIImplementation #IntellimarkAI #SupplyChainOptimization #AIEthics #PredictiveAnalytics #AIInnovation #SCMTechnology #ManinderSingh #AllAboutSupplyChain