A Major European Apparel Retailer Improves Its Revenue by 2.4% and Lowers Markdown Loss by 2%

A Major European Apparel Retailer Case Study - At a Glance

A leading apparel retailer’s success story at a glance

invent.ai helped a leading apparel retailer in Europe increase its revenue, lower markdown loss, and achieve higher sell-through. Using invent.ai's AI-powered Markdown Optimization Solution, the retailer optimized its products’ markdown path through the season and directly improved its margin.

The retailer serves its customers with 400 stores in +20 countries. The range of products the retailer offers includes high-quality fashion for the whole family, footwear, to accessories. To excel at markdown strategies and achieve profit optimization throughout the season, the retailer turned to invent.ai, a global provider of AI-powered inventory and price optimization solutions dedicated to retail industry.

Why did the apparel retailer choose invent.ai?

invent.ai's customer; a leading European retailer, wanted to accelerate its margin growth by optimizing markdowns throughout the product cycle. Following extensive market analysis, invent.ai was chosen as the best option, aligning to the retailer’s ambitious goals. invent.ai's proven fashion-retail industry-specific approach, and expertise were the other reasons behind this leading retailer’s decision.

The Solution

Accelerating margin growth with optimal markdown timing and depth

During a 3-month period, invent.ai proved the benefits of its profit-optimal markdown solution with pre-go-live simulations and rigorous A/B testing. As a part of the A/B test, invent.ai and the retailer shared the categories and markets in a cross-matrix format to establish identical sets.

During this period, invent.ai Markdown Optimization achieved 6.9% higher sell-through with 2% lower markdown loss.

Following that, the company implemented Markdown Optimization solution. invent.ai delivered speed to value and allowed the retailer to take advantage of option-level, machine learning-based markdown decisions.

invent.ai applied customized algorithms to meet different demand patterns and operating models of its customer. For instance, a “clearance strategy” was used for several product categories at the end of the season, which had a high “first markdown week” effect when markdown started. The customized algorithms that take into account the diminishing markdown impact also known as the “aging effect” enabled the retailer to increase their sell-through in the following weeks, until the subsequent markdown increase.

For some specific categories “markdown and clear as you go strategy” was applied for the products that didn’t perform well after the initial sales period, so that retailer could start markdowns and continue to the end of the season.

The Impact

Accurate forecasts at all price levels

With Markdown optimization, today the retailer maximizes its overall profit by optimizing its markdown strategy for each item over its lifetime. The solution using markdown-specific forecasting also accurately predicts seasonal demand for the retailer’s new products with a limited history.

"invent.ai's forecasting model based on the statistical analytics of factors such as price elasticity, seasonality, special days, broken assortment impact provides the optimum frequency, depth, and timing for us. Thanks to invent.ai, we now can find the answers to important questions such as:

• What is the optimal markdown path for each and every SKU over its lifetime?
• When should each product be discounted based on the sell-through and inventory levels?"

Director Merchandise Planning & Controlling
Leading Apparel Retailer