| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 85.7 MB | ||
| 1. S1_Complete_Resource.py | 14.4 KB | ||
| 2 - Receiving Dock Where AI Earns Its Keep First | |||
| 10. OCR and LLMs Auto-Process POs, ASNs, Delivery Notes.mp4 | 40.5 MB | ||
| 11. Project AI Receiving Verification System with Python.mp4 | 28 MB | ||
| 3 - Putaway AI-Driven Storage Decisions | |||
| 12. S3_Complete_Resource.py | 22.9 KB | ||
| 12. Slotting Intelligence Location Matters as Much as the Item.mp4 | 63.9 MB | ||
| 13. ML Putaway Predict Best Bin by Velocity, Weight, History.mp4 | 55.7 MB | ||
| 14. RFID and IoT Real-Time Location Tracking Dock to Shelf.mp4 | 53.8 MB | ||
| 15. Directed Putaway AI Instructions via WMS API to AMRs.mp4 | 43.4 MB | ||
| 16. Project Putaway Recommendation Engine with Scikit-Learn.mp4 | 39.2 MB | ||
| 4 - Inventory Management AI That Never Loses Track | |||
| 17. S4_Complete_Resource.py | 16.5 KB | ||
| 17. Why Cycle Counts Fail and What AI Does Instead.mp4 | 45.7 MB | ||
| 18. Computer Vision Counting No Operational Shutdown Needed.mp4 | 38.4 MB | ||
| 19. Demand Forecasting with ML Know What You Need in Advance.mp4 | 47.2 MB | ||
| 20. Dynamic Reorder Points AI Replaces Fixed Min and Max.mp4 | 29.9 MB | ||
| 21. Digital Twins for Inventory Simulate Before You Decide.mp4 | 37.2 MB | ||
| 22. Project Demand Forecasting Model with Prophet.mp4 | 28 MB | ||
| 5 - Order Picking The Highest Labour Cost in Warehousing | |||
| 23. Pick Path Optimisation Shortest Route Is Not Always Fastest.mp4 | 32.9 MB | ||
| 23. S5_Complete_Resource.py | 10.2 KB | ||
| 24. Voice Vision Picking.mp4 | 24.2 MB | ||
| 25. Batch Zone Wave Management.mp4 | 26.8 MB | ||
| 26. Pick Error Detection.mp4 | 25.9 MB | ||
| 27. Labor Planning with ML.mp4 | 20.8 MB | ||
| 28. L5.6_Project_Pick_Route_Optimiser_with_audio.mp4 | 14.8 MB | ||
| 28. Pick Route OPtimizer.mp4 | 11.7 MB | ||
| 6 - Packing and Quality Control Zero-Defect Dispatch | |||
| 29. Pack Station Optimisation.mp4 | 24 MB | ||
| 29. S6_Complete_Resource.py | 8.9 KB | ||
| 30. CV Pack Verification.mp4 | 26 MB | ||
| 31. CArtonisation AI.mp4 | 21.3 MB | ||
| 32. Weight & Dimension.mp4 | 26.5 MB | ||
| 33. Project Build a Pack Verification Pipeline.mp4 | 13.7 MB | ||
| 7 - Dispatch | |||
| 34. Load Planning AI — Fill Every Trailer Intelligently.mp4 | 28.5 MB | ||
| 34. S7_Complete_Resource.py | 11.1 KB | ||
| 35. Automated Sortation — Getting Parcels to the Right Lane.mp4 | 30.2 MB | ||
| 36. Outbound Quality Gate — Last Check Before the Truck.mp4 | 14.9 MB | ||
| 37. Carrier Selection AI — 80ms to the Right Carrier.mp4 | 22.9 MB | ||
| 38. Dispatch Analytics — Root Cause and Performance Tracking.mp4 | 20.6 MB | ||
| 39. Project Build a Dispatch Analytics Dashboard.mp4 | 15.5 MB | ||
| 8 - Robotics & Automation | |||
| 0. AI-Powered Safety Monitoring — PPE Detection and Zones.mp4 | 46.3 MB | ||
| 0. API Integration Patterns — REST, GraphQL, Webhooks, Queues.mp4 | 33.4 MB | ||
| 0. Building the Picking and Despatch Module.mp4 | 18.8 MB | ||
| 0. Building the Receiving and Putaway Module.mp4 | 23.1 MB | ||
| 0. Capstone Overview — What We Are Building and Why.mp4 | 44.2 MB | ||
| 0. Control Tower — End-to-End Supply Chain Visibility.mp4 | 23.7 MB | ||
| 0. Customer Experience — How AI in the Warehouse Affects Delivery.mp4 | 30.5 MB | ||
| 0. Digital Twins for Equipment — Simulating Before Deploying.mp4 | 28.7 MB | ||
| 0. Edge AI — Running ML Models at the Machine Level.mp4 | 40.7 MB | ||
| 0. Ergonomics and Fatigue Monitoring — Protecting Your Workforce.mp4 | 34.2 MB | ||
| 0. From Reactive to Predictive — The Maintenance Maturity Model.mp4 | 34.9 MB | ||
| 0. How Warehouse AI Connects to the Broader Supply Chain.mp4 | 51.4 MB | ||
| 0. Integration, Deployment and Going Live.mp4 | 41.6 MB | ||
| 0. L10.2_Incident_Prevention.pptx.mp4 | 37 MB | ||
| 0. L10.3_Regulatory_Compliance.pptx.mp4 | 28.9 MB | ||
| 0. L10.5_Project_Safety_Dashboard.pptx.mp4 | 24.1 MB | ||
| 0. ML Models for Failure Prediction — Algorithm per Asset.mp4 | 31 MB | ||
| 0. Maintenance Planning with AI — CMMS Integration.mp4 | 30.6 MB | ||
| 0. OPC-UA and Industrial Protocols.mp4 | 28.7 MB | ||
| 0. Project Build a Predictive Maintenance Engine.mp4 | 20.6 MB | ||
| 0. Project Build a Supply Chain KPI Dashboard.mp4 | 25.9 MB | ||
| 0. Project Build a WMS Integration Layer.mp4 | 26.4 MB | ||
| 0. Project Build an Edge AI Anomaly Detector.mp4 | 27 MB | ||
| 0. Real-Time Anomaly Detection on Conveyor Equipment.mp4 | 38.4 MB | ||
| 0. Real-Time Data Flows — Event-Driven Architecture with Kafka.mp4 | 28.8 MB | ||
| 0. S10_Complete_Resource.py | 14.9 KB | ||
| 0. S11_Complete_Resource.py | 14.7 KB | ||
| 0. S12_Complete_Resource.py | 14 KB | ||
| 0. S13_Complete_Resource.py | 14.5 KB | ||
| 0. S9_Complete_Resource.py | 15.2 KB | ||
| 0. Sensor Strategy — What to Monitor and How Often.mp4 | 44.8 MB | ||
| 0. Supplier Intelligence — AI-Driven Inbound Planning.mp4 | 37.2 MB | ||
| 0. System Architecture — The End-to-End AI Warehouse Design.mp4 | 33.6 MB | ||
| 0. The System Landscape — WMS, WES, WCS, ERP Who Does What.mp4 | 40.3 MB | ||
| 0. WMS Deep Dive — SAP EWM, Blue Yonder, Manhattan AI Points.mp4 | 35.6 MB | ||
| 0. What Is a PLC How PLCs Control the Warehouse.mp4 | 40 MB | ||
| 40. S8_Complete_Resource.py | 15 KB | ||
| 40. Types of Warehouse Robots — AMRs, AGVs, Cobots, ASRS.mp4 | 42.2 MB | ||
| 41. Robot Navigation — SLAM and A Path Planning.mp4 | 41.3 MB | ||
| 42. Human-Robot Collaboration — Task Allocation and Fleet Mgmt.mp4 | 33.3 MB | ||
| 43. Goods-to-Person Systems — Autostore and Shuttle ASRS.mp4 | 25.1 MB | ||
| 44. ROI of Robotics — When to Automate and How to Justify It.mp4 | 28.4 MB | ||
| 45. Project Simulate an AMR Fleet with Python.mp4 | 24 MB | ||
| 6. S2_Complete_Resource.py | 15.1 KB | ||
| 6. The Receiving Problem Why 60% of Errors Start at the Dock.mp4 | 50.8 MB | ||
| 7. AI Dock Scheduling Predict Arrivals, Eliminate Waiting.mp4 | 31 MB | ||
| 8. Computer Vision Goods-In Barcodes, Labels, Damage Detection.mp4 | 41.9 MB | ||
| 9. ALPR Log Every Truck Automatically, No Human Needed.mp4 | 23 MB | ||
| 2. From Clipboards to Intelligence What a Smart Warehouse Actually Looks Like.mp4 | 51.6 MB | ||
| 3. The Technology Stack WMS, WES, ERP, PLC, SCADA, IoT, AI — How They Connect.mp4 | 28.6 MB | ||
| 4. What Data a Warehouse Generates and Why Most of It Goes to Waste.mp4 | 27.4 MB | ||
| 5. How to Read a Warehouse Understanding Operations Before Automating Them.mp4 | 30.7 MB |
AI in Warehouse Management — Receiving to Dispatch 2026
https://WebToolTip.com
Published 6/2026
Created by Ganesh Ravikumar
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 76 Lectures ( 4h 2m ) | Size: 2.5 GB
Master AI, Robotics, PLC & Edge Computing for modern warehouses. Real Indian projects, Python code, and job-ready skills
What you'll learn
⚡ Apply AI and machine learning to real warehouse operations from receiving to dispatch
⚡ Understand and evaluate AMRs, AGVs, ASRS, and Goods-to-Person automation systems
⚡ Connect PLC signals to AI pipelines using OPC-UA, MQTT, and Edge AI on Jetson hardware
⚡ Build demand forecasting, anomaly detection, and pick optimisation models in Python
⚡ Design digital twins for warehouse equipment and predict failures before they happen
⚡ Calculate ROI and build a board-level business case for warehouse AI investment
Requirements
❗ Basic understanding of warehouse or supply chain operations (any level welcome)
❗ Python basics helpful but not required — all code is fully explained line by line
❗ A laptop or desktop with internet access to follow along with s
❗ No prior AI or machine learning knowledge needed — we start from the ground up
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