| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Section 1 — Foundations of OTB | |||
| 1. Lesson 1.1 - What Is OTB and What It Solves in Retail.en_US.srt | 18.9 KB | ||
| 1. Lesson 1.1 - What Is OTB and What It Solves in Retail.mp4 | 82.5 MB | ||
| 2 - Section 2 — Demand Forecasting | |||
| 10. Lesson 2.5 - New Product Forecasting The Like-Item Approach.en_US.srt | 11.1 KB | ||
| 10. Lesson 2.5 - New Product Forecasting The Like-Item Approach.mp4 | 146 MB | ||
| 3 - Section 3 — Computing and Applying OTB | |||
| 11. Lesson 3.1 - Setting Opening Inventory The Cover Approach.en_US.srt | 10.3 KB | ||
| 11. Lesson 3.1 - Setting Opening Inventory The Cover Approach.mp4 | 141.9 MB | ||
| 12. Lesson 3.2 - Sales Plan and Markdown Budget.en_US.srt | 10.1 KB | ||
| 12. Lesson 3.2 - Sales Plan and Markdown Budget.mp4 | 134.9 MB | ||
| 13. Lesson 3.3 - Closing Inventory and Ideal Season-End Residual.en_US.srt | 10.4 KB | ||
| 13. Lesson 3.3 - Closing Inventory and Ideal Season-End Residual.mp4 | 135 MB | ||
| 14. Lesson 3.4 - From OTB Budget to Purchase Recommendation.en_US.srt | 10.9 KB | ||
| 14. Lesson 3.4 - From OTB Budget to Purchase Recommendation.mp4 | 141.8 MB | ||
| 15. Lesson 3.5 - Lead Time and Delivery Calendar Impact.en_US.srt | 10.5 KB | ||
| 15. Lesson 3.5 - Lead Time and Delivery Calendar Impact.mp4 | 141 MB | ||
| 16. Lesson 3.6 - Monthly OTB Reforecast Discipline.en_US.srt | 11.1 KB | ||
| 16. Lesson 3.6 - Monthly OTB Reforecast Discipline.mp4 | 149.5 MB | ||
| 4 - Section 4 — AI-Powered OTB | |||
| 17. Lesson 4.1 - Why Classical Forecasting Falls Short.en_US.srt | 10.7 KB | ||
| 17. Lesson 4.1 - Why Classical Forecasting Falls Short.mp4 | 148 MB | ||
| 18. Lesson 4.2 - Prophet for Baseline Forecasting.en_US.srt | 9.8 KB | ||
| 18. Lesson 4.2 - Prophet for Baseline Forecasting.mp4 | 135.4 MB | ||
| 19. Lesson 4.3 — LightGBM.en_US.srt | 10.7 KB | ||
| 19. Lesson 4.3 — LightGBM.mp4 | 147.1 MB | ||
| 20. Lesson 4.4 - How AI Forecast Output Flows into the OTB Budget.en_US.srt | 10.7 KB | ||
| 20. Lesson 4.4 - How AI Forecast Output Flows into the OTB Budget.mp4 | 150.5 MB | ||
| 5 - Final | |||
| 21. Lesson 5.1 - Putting It All Together Cover Diagram, KPI Dashboard, and Red Flag.mp4 | 143.3 MB | ||
| 6. Lesson 2.1 - The Three Forecast Components Trend, Seasonality, Events.en_US.srt | 11.8 KB | ||
| 6. Lesson 2.1 - The Three Forecast Components Trend, Seasonality, Events.mp4 | 49.2 MB | ||
| 7. Lesson 2.2 - Preparing Historical Data and Cleaning Outliers.en_US.srt | 11.4 KB | ||
| 7. Lesson 2.2 - Preparing Historical Data and Cleaning Outliers.mp4 | 144.6 MB | ||
| 8. Lesson 2.3 - Weighted Moving Average and Exponential Smoothing.en_US.srt | 10.7 KB | ||
| 8. Lesson 2.3 - Weighted Moving Average and Exponential Smoothing.mp4 | 136.3 MB | ||
| 9. Lesson 2.4 - Seasonality Indices and Year-over-Year Logic.en_US.srt | 10.4 KB | ||
| 9. Lesson 2.4 - Seasonality Indices and Year-over-Year Logic.mp4 | 141.4 MB | ||
| 2. Lesson 1.2 - Top-Down vs Bottom-Up Planning.en_US.srt | 10.1 KB | ||
| 2. Lesson 1.2 - Top-Down vs Bottom-Up Planning.mp4 | 42.8 MB | ||
| 3. Lesson 1.3 - The OTB Equation Open, Sales, Markdowns, Close.en_US.srt | 10.6 KB | ||
| 3. Lesson 1.3 - The OTB Equation Open, Sales, Markdowns, Close.mp4 | 142 MB | ||
| 4. Lesson 1.4 - Hierarchical Planning Company → Department → Class → SKU.en_US.srt | 11.3 KB | ||
| 4. Lesson 1.4 - Hierarchical Planning Company → Department → Class → SKU.mp4 | 46.2 MB | ||
| 5. Lesson 1.5 - Seasonal vs Never-Out Logic.en_US.srt | 11.6 KB | ||
| 5. Lesson 1.5 - Seasonal vs Never-Out Logic.mp4 | 152.8 MB |
Open-to-Buy Mastery: Retail Planning, Forecasting & AI
https://WebToolTip.com
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 3h 10m | Size: 2.59 GB
Cut markdowns, raise turn, and protect gross margin with disciplined OTB, demand forecasting, and AI-driven planning.
What you'll learn
Build the OTB equation from opening, sales, markdowns and closing inventory to set and weekly-revise a full seasonal stock budget from scratch.
Separate trend, seasonality and event effects, then produce consistent demand forecasts using weighted moving averages and seasonality indices.
Connect AI methods like Prophet, LightGBM and the weighted recent sales index to the OTB budget and build reliable forecasts even for sparse SKUs.
Use the cover diagram, a 4-tier store capacity segmentation and a disciplined markdown strategy to reduce aged inventory and lift turn and margin.
Requirements
Basic Excel skills (formulas and pivot tables) are sufficient. One year or more of experience in retail, e-commerce or supply chain is recommended; working in a planning, buying, merchandising or category management role will accelerate the learning. No programming background is required, as the AI sections rely on conceptual explanations and ready-to-use tools.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 3 months | 14 | 2 | |
| 3.7 GB | freecoursewb | 5 months | 7 | 7 | |
| 742.3 MB | freecoursewb | 5 months | 2 | 0 | |
| 2.7 GB | freecoursewb | 5 months | 4 | 2 | |
| 3.1 GB | freecoursewb | 10 months | 8 | 2 |
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