Case studies

Retail and Fashion Analytics Case Studies

Anonymised retail analytics case studies from fashion brands, distributors and e-commerce retailers: assortment planning, pricing, product data and Power BI reporting. Each one shows the problem, what was done, the tools and the result. Client names and identifying details are removed.

Topic

Assortment2Pricing1Product data2Reporting2

Case studies by topic

schematic dashboard · illustrative data

Product data · PLM

Standardising Product Data Across European and Asian Markets in a PLM System

A fashion brand selling in Europe and Asia replaced local naming habits with one PLM attribute dictionary and validation at entry.

98% completeness−60% data fixes

schematic dashboard · illustrative data

Assortment · Range

Rebuilding the Womenswear Range Plan for a European Fashion Distributor

Fewer options, more depth in proven sizes and colours, and a new open-to-buy plan for a womenswear distributor.

+18 pp sell-through−31% markdown

schematic dashboard · illustrative data

Pricing · Reporting

Building a Price Architecture and Margin Report for a Fashion E-commerce Retailer

Clear entry, core and top price points per category, one set of pricing rules for all markets and a weekly margin report.

+2.4 pp margin6 weeks

schematic dashboard · illustrative data

Reporting · Power BI

Setting Up a Weekly Retail Trading Report in Power BI for a Multi-Brand Retailer

One set of agreed KPI definitions and one Monday trading report in Power BI instead of four competing spreadsheets.

40 h/month saved4 → 1 report

schematic dashboard · illustrative data

Assortment · Size curves

Rebuilding Size Curves for a Menswear Brand After Two Seasons of Stock-Outs

Stock-outs and returns were removed from the sales history before the size curves were recalculated by market.

−27% broken sizes+9 pp full-price

schematic dashboard · illustrative data

Product data · E-commerce

Cleaning Product Data for a Fashion E-commerce Catalogue Migration

Attribute mapping and validation rules agreed before the migration, so the new site’s filters worked from day one.

99% mapped0 blocked SKUs

Retail Analytics Case Studies FAQ

No. Every case study is anonymised, and the client is described only by type, such as a fashion distributor or an e-commerce retailer. Names, brands and details that could identify a business are removed.

The results are real project outcomes, shown as percentages, percentage points or time saved rather than sales values. Client names and details such as market counts or product counts are left out on purpose, so no company can be identified.

Yes. Each case study links to the service it is based on, and the method adapts to your categories, markets and systems. Send a short description of your situation and I will reply within one working day with what I would check first.

Discuss a Similar Retail Analytics Project

If one of these looks like your situation, send me two or three sentences about yours. I will reply with what I would check first.

Tatsiana

Book a ConsultationReply within one working day · EN / PL / RU

Retail and Fashion Analytics Case Studies

Standardising Product Data Across European and Asian Markets in a PLM System

Rebuilding the Womenswear Range Plan for a European Fashion Distributor

Building a Price Architecture and Margin Report for a Fashion E-commerce Retailer

Setting Up a Weekly Retail Trading Report in Power BI for a Multi-Brand Retailer

Rebuilding Size Curves for a Menswear Brand After Two Seasons of Stock-Outs

Cleaning Product Data for a Fashion E-commerce Catalogue Migration

Retail Analytics Case Studies FAQ

Are the retail analytics case study clients named?

How are the case study figures anonymised?

Can a similar project be done for our brand?

Discuss a Similar Retail Analytics Project