Retail & Distribution1000+ (Upper mid-market)Vertical: Retail & Distribution

Store assortment optimization

Adapt each store’s assortment to its catchment area using sales and socio-demographic data.

ROI ★★★★☆Complexity ●●●○○6-12 months1000+ (Upper mid-market)

The problem

No reliable steering on store assortment optimization.

The current process is manual or inconsistent.

Decisions come too late due to weak signals.

Margins are under pressure and inventory is misaligned.

Prerequisites: required data & tools

Required data

  • Sales by store/SKU
  • Data géo
  • socio-démo

Compatible tools

  • Blue Yonder
  • SAS
  • custom ML

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What we implement in 6-12 months

In 6-12 months: Adapt each store’s assortment to its catchment area using sales and socio-demographic data. with measured impact on markdown reduction.

Weeks 1-2

Diagnosis

Weeks 3-6

Build

Week 7+

Delivery

Concrete deliverables

Business framing and decision rules for store assortment optimization

Operational engine for store assortment optimization

Steering dashboard with alerts

Action playbook and governance

Expert insight

Reduces markdowns and increases revenue per m². Complex to industrialize across a large store network.

— Datasive, expertise terrain

Tech maturity

High

Mature solutions, fast deployment

Medium

Maturing tech, requires customization

Emerging

Cutting-edge innovation, R&D approach

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