Case Study: Popken Fashion Group boosts margins with GK AIR Dynamic Pricing from GK Software

Popken Fashion Group - Customer Case Study

Popken Fashion Group, an international plus-size fashion retailer, faced the challenge of agile, automated pricing in a volatile market. They needed to frequently calculate optimal prices for different channels, rapidly adapting to fluctuating demand and rising costs. To achieve this, they partnered with GK Software to implement the GK AIR Dynamic Pricing AI solution.

GK Software's solution was implemented within 14 weeks and automated the pricing process using real-time algorithms focused on turnover, sales, and profit. This allowed Popken to compensate for market fluctuations and optimize markdowns for better inventory management. The results for GK Software's customer included an increase in gross profit and margin, a higher net revenue in A/B tests, and a significant reduction in the manual workload for category management.

Popken Fashion Group

Oliver Schepers

General Manager