Fashion Retailers Use Kimaru.ai to Optimize Markdown Strategies and Reduce Unsold Inventory Waste

AI-powered markdown optimization helps fashion retailers enhance profitability, reduce unsold stock, and support sustainability initiatives.

The fashion industry is highly seasonal, with constantly shifting trends and customer preferences. Kimaru.ai enables fashion retailers to optimize markdown strategies, balance inventory clearance with profitability, and minimize waste from unsold stock. By leveraging AI-driven markdown optimization, retailers can confidently manage their pricing decisions, ensuring they maximize sell-through rates while reducing environmental impact.

The Challenge

Fashion retailers frequently struggle with inventory that quickly becomes obsolete due to changing trends and seasonal demand shifts. Excess stock often results in steep markdowns, eroding margins, or, worse, large quantities of unsold products ending up in landfills. Traditional markdown processes rely on intuition and manual planning, making it difficult to apply strategic, data-driven pricing at scale.

The Solution

By integrating a governed markdown Decision Model, fashion retailers can connect historical sales, current demand, and relevant constraints to make explainable markdown choices while keeping authority and measured outcomes visible.

The Impact

By leveraging Kimaru.ai’s markdown optimization AI, fashion retailers experience:

  • Higher profit margins by reducing unnecessary deep discounting while improving sell-through rates.

  • Lower unsold inventory, helping retailers reduce product waste and decrease their environmental footprint.

  • More sustainable operations, as fewer unsold products translate to less textile waste ending up in landfills.

Sustainability and ESG Alignment

See how Kimaru could support one recurring decision in your operating environment. Request a 30-minute conversation.