Tatsiana BandziukRetail & Fashion Analytics

Assortment Planning and Merchandise Planning Consulting for Fashion Retail

Assortment planning consulting helps fashion brands and distributors decide how many options to carry per category, how deep to buy each size and colour, and which market gets which part of the range. You get a merchandise plan and an open-to-buy model built on your own sales data, which your planners keep running after the handover.

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Assortment Planning Problems This Consulting Service Solves

Too Many Options and Too Little Depth in the Assortment

The range looks rich on paper and sells thin in store: sizes are broken by week four and no bestseller has stock behind it.

Size and Colour Curves Copied from Last Season

Curves are inherited rather than calculated, so last season’s stock-outs and returns quietly distort every following buy.

One Assortment Pushed into Very Different Markets

The same range ships to markets with different climates, price expectations and store sizes, and markdown absorbs the difference.

No Agreed Sell-Through Figure Between Buying and Finance

Every range review starts by reconciling two versions of sell-through instead of deciding what to buy.

What the Assortment Planning Consulting Work Includes

Five workstreams in a fixed order. Each ends with a document or model that stays with your team.

01

Range Architecture Review by Category and Price Tier

Option counts by category, price tier and market, compared with sell-through and margin history.

02

Size and Colour Curve Calculation from Cleaned Sales Data

Curves rebuilt from sales history with returns, stock-out weeks and promotions removed.

03

Merchandise Plan and Open-to-Buy Model in Excel

One model your planners maintain: units, cost, margin and phasing by month and market.

04

In-Season Assortment Monitoring in Power BI

A weekly view of sell-through, stock cover and size integrity, built on agreed definitions.

05

Handover Workshops for Buying and Merchandise Planning Teams

Two working sessions and written documentation, so the next season runs without me.

Assortment Planning Results for Fashion Brands

+18pp

sell-through on core categories in the first full season

−21%

option count, with depth moved into proven sizes and colours

−31%

markdown spend across two consecutive seasons

Tools Used in Assortment Planning Projects

Excel Merchandise Plan and Open-to-Buy Model

Open-to-buy, monthly phasing and scenario comparison in one workbook.

Power BI for In-Season Assortment Monitoring

DAX measures for sell-through, stock cover and size integrity.

PLM Product Data Behind the Range Plan

Clean category, season and colour attributes behind every option count.

Related Case Study: Rebuilding the Womenswear Range Plan for a European Fashion Distributor

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

Related Retail Analytics Articles

Assortment Planning Consulting FAQ

Assortment planning in fashion retail is deciding which products a brand will sell in a season: how many options per category and price tier, how deep to buy each size and colour, and which stores or markets receive them. It balances range width against depth so that customers find choice and bestsellers stay in stock. The output is a range plan that the buy and the open-to-buy budget are built on.

Assortment planning decides what to sell: the options, sizes, colours and their split by market. Merchandise planning decides how much money to spend and when: sales, margin, stock and open-to-buy by month and category. The two plans have to agree, so I build them together.

Ideally two seasons of sales, stock and returns at SKU and week level, plus product attributes such as category, colour, size and price. One season is workable, but the size and colour curves then carry more uncertainty. Standard ERP or PLM exports are enough.

Yes. The model keeps one range architecture and lets depth, size split and phasing differ by market. That way each market plan stays comparable with the others while still reflecting local demand.

No. Most brand teams need a clear process and a reliable Excel and Power BI model first. If you later choose planning software, the model becomes its specification and the team already knows what it needs from the system.

Your planning team. The plan is built in the tools they already use, documented step by step and handed over in two workshops. Ongoing support is available if you want a monthly review.

Discuss an Assortment Planning Project with Tatsiana Bandziuk

Send me the category you are least sure about. I will reply with what the sales data would need to show for that part of the range to be right.

Tatsiana

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