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FINDS

FINDS provides a decision engine for inventory value optimization, helping fashion, luxury, and beauty organizations maximize the value of their stock. The platform scores SKUs, projects at-risk value over a 12-week horizon, and recommends channel allocations such as full-price holds or outlet routing. It augments human expertise with scenario simulation and live dashboards, enabling teams to make faster, data-driven inventory decisions.

Traction –/10
Paris, France · HQ
112K+ followers
  • Fashion Technology
  • Retail Technology
  • Software Only
Updated 8 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Inventory teams in fashion, luxury, and beauty organizations make daily decisions about what to retain, reallocate, or redirect to outlets, employee sales, off-price partners, donation, or recycling. These decisions are complex, depending on brand image, margin objectives, inventory risk, product freshness, channel constraints, regulatory requirements, and countless company-specific rules—yet teams often lack the data, context, and scalable tools needed to make these judgments efficiently.

Solution

FINDS provides a decision engine for inventory value optimization that combines data, context, and tools into a single workflow. The platform scores SKUs, projects at-risk value over a 12-week horizon, and recommends channel allocation strategies—such as full-price holds or outlet routing—tailored to each product's characteristics and the organization's objectives. By augmenting existing human expertise rather than replacing it, FINDS enables inventory teams to simulate scenarios, evaluate trade-offs, and identify the best strategy for every product, resulting in measurable improvements like increased recovered value and reduced at-risk inventory.

Target Audience

Primary customers are inventory management teams at fashion, luxury, and beauty organizations seeking to optimize inventory value and channel allocation decisions.

Features

  • SKU-level scoring that ranks products by recoverable value, with risk classification such as aging or healthy
  • 12-week at-risk value projection to anticipate inventory depreciation before it occurs
  • Channel mix recommendations including full-price, outlet, off-price, employee, and donation allocations
  • Live dashboard displaying inventory value, at-risk value, recovered value, and scored SKU counts with real-time updates
  • Scenario simulation capabilities allowing teams to test trade-offs across brand image, margin, and channel constraints
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