Assortment management tools: from sales analytics to product mix strategy

Assortment management tools help analyze sales, cut unprofitable SKUs, and improve turnover.

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
Store Assortment Management
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
Store Assortment Management
RAEC
EKF
L'Etoile
Inventive Retail Group

The system helps build a shelf assortment for a specific store, taking into account sales, shopper behavior, and store format. We remove unprofitable SKUs, strengthen local bestsellers, and increase turnover. Benefits of shelf assortment management for your business

Why shelf assortment management makes processes faster, simpler, and more reliable

  1. Sales analysis by each location The system takes local preferences and SKU performance into account at each individual store Shelf width and depth optimization

  2. Digital models help balance the assortment: remove duplicates and strengthen bestsellers

  3. Fast response to seasonality and demand

  4. Data updates in real time - the shelf adapts to current consumption patterns Increased turnover and sales

  5. Better assortment = less tied-up stock and higher sales per square meter

Efficiency and growth in one solution

Shelf assortment directly affects revenue

The digital solution helps you see which products actually work in each store and quickly adapt the assortment matrix to demand, seasonality, and store format. No guesswork - only data and results. The solution includes:

We build a localized assortment matrix for each store

Automatically analyze sales and turnover, and remove weak SKUs

We update shelf data in real time for rotation and promotions. Business results:

Up to 30% turnover growth in retail locations

Reduce inventory and dead shelf items

Increase the share of profitable products in each category Solutions without unnecessary complexity, from idea and analysis to results

Analyze data and reference master records in your environment

We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout, define scope, stages, and timelines, assign responsibilities, and agree on the criteria for success.

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

Shelf assortment management by practitioners, not theorists

We develop solutions that already help retailers improve shelf efficiency - from local assortment matrices to daily SKU rotation. Everything is built on sales, turnover, and customer behavior data 12+ assortment localization models for format and region 30% increase in turnover after implementation 20% reduction in inefficient SKUs in the matrix 3-4 weeks - average cycle from design to MVP launch Customer reviews

FAQ

Frequently asked questions

How can you tell which products actually sell in a specific store?

The system analyzes local sales and shows which SKUs perform and which take up shelf space without delivering results.

What should we do with an inefficient assortment?

The solution suggests removing slow-moving items, replacing them with faster-moving ones, and strengthening the products that generate revenue.

Our matrix rotation is slow and manual. Can it be automated?

Yes. Assortment updates are data-driven, based on predefined rules, without Excel or manually compiled reports.

Can seasonality and store format be taken into account?

Yes. The assortment matrix is adapted to the region, store format, season, and consumer patterns.

How quickly will you see results after implementation?

The first results appear after 1-2 matrix update cycles: higher turnover and lower dead stock.

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