Udemy - Open-to-Buy Mastery - Retail Planning, Forecasting and AI

Category : Other
Type: Tutorials
Language: English
Total Size: 2.6 GB
Uploaded By: freecoursewb
Downloads: 33813
Last checked: Jun. 4th '26
Date uploaded: Jun. 4th '26
Seeders: 16498
Leechers: 8849
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About Udemy - Open-to-Buy Mastery - Retail Planning, Forecasting and AI

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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.

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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.