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AI, Data & Forecasting for Beauty Retail

Turn sell-out data into demand forecasts, assortment decisions and retailer conversations you can win.

★★★★★5 (0)/Advanced/4h 58m/10 lessons

[ What you'll learn ]

Build a trustworthy sell-in and sell-out data foundation with defined metrics

Forecast demand for launches, repeats and seasonal peaks with honest error bands

Size safety stock and service levels against real lead times

Detect cannibalisation, halo effects and promotional distortion

Use AI assistants on governed retail data without hallucinated numbers

Present a retailer business review backed by a defensible forecast

[ Curriculum ]

3 modules, 10 lessons

A quantitative programme for beauty brand and retail teams who own inventory, assortment and retailer performance. You will build a clean data foundation from sell-in and sell-out feeds, forecast demand for launches and repeats, size safety stock, detect cannibalisation, and use AI assistants safely on top of governed data. Each module ends in a hands-on lab, and the course closes with a graded assessment and a capstone retailer business review.

Module 01

The Retail Data Foundation

3 lessons

Sell-In, Sell-Out and the Truth About Stock
Preview
Why shipment data flatters you and what sell-out actually tells you.
26 min · Lesson text · Workbook · AI prompts · Quiz
Open preview lesson →
The Metric Dictionary
28 min
One definition per metric, agreed across brand, supply and finance.
28 min · Lesson text · Workbook · AI prompts · Quiz
Lab: Build Your Data Quality Gate
34 min
Nine automated checks that block a bad forecast before it is published.
34 min · Lesson text · Workbook · AI prompts · Quiz

Module 02

Forecasting Demand

4 lessons

Baselines Before Models
30 min
The naive forecast you must beat, and how to measure whether you did.
30 min · Lesson text · Workbook · AI prompts · Quiz
Forecasting a Launch With No History
32 min
Analogue selection, distribution build curves and sell-through triggers.
32 min · Lesson text · Workbook · AI prompts · Quiz
Lab: Forecast One SKU End to End
36 min
Produce a 13-week forecast with error bands, safety stock and a reorder point.
36 min · Lesson text · Workbook · AI prompts · Quiz
Error Bands, Service Levels and Safety Stock
30 min
Translate forecast error and lead time variability into inventory decisions.
30 min · Lesson text · Workbook · AI prompts · Quiz

Module 03

Assortment, AI Assistants and the Retailer Conversation

3 lessons

Cannibalisation, Halo and AI Assistants on Governed Data
32 min
Range effects, promotional distortion, and how to let AI query numbers safely.
32 min · Lesson text · Workbook · AI prompts · Quiz
Graded Assessment: Forecasting and Retail Analytics
22 min
Twelve applied questions on data, forecasting and inventory. Pass mark 80%.
22 min · Lesson text · Workbook · AI prompts · Quiz
Capstone: The Retailer Business Review
28 min
Deliver a full quarterly business review with forecast, assortment case and risks.
28 min · Lesson text · Workbook · AI prompts · Quiz

[ Your instructor ]

Altera Consulting

Beauty growth advisors

Altera Consulting advises beauty and skincare brands on expansion, retail readiness and AI-enabled commercial operations.