2M+
SKUs
30
Categories
50M+
Monthly visitors
$1B
Annual revenue
Hepsiburada, an e-commerce retailer with 2M+ SKUs across 30 categories, 50M+ monthly visitors and $1B in annual revenue, was growing fast. Planners carried an excess workload of manual analysis, which caused missed opportunities across a diverse category portfolio under changing market conditions.
So Hepsiburada partnered with Solvoyo to give its category managers predictive and prescriptive analytics. The platform detects slow-moving inventory and recommends prices based on marketplace signals and competitor prices, and automated forecasts give category managers more time to strategize.
Manual Analysis and No Universal View of Data in Category Management
Hepsiburada’s goals were to take proactive actions toward its monthly sales targets and to support rapid growth with automation and advanced analytics.
Hepsiburada faced three challenges:
- A diverse category portfolio and changing market conditions that required agility and fast decision-making
- Excess workload on planners from manual analysis, causing missed opportunities
- No universal view of data and actionable insights
The goals also included giving category managers predictive and prescriptive analytics for fast decision-making and making demand sensitivity visible to marketplace price actions.
Automated Category Management Pricing, Forecasting, and Segmentation
Medium-term trend forecasting runs automatically and gives category managers visibility of trends. The forecasts supplement historical sales data with web searches, click rates and conversion.
An automated approach detects slow-moving inventory and optimizes price actions to meet budget targets. Attribute-based segmentation assigns segments automatically, and the segments adapt as sales trends change. Price recommendations take marketplace signals and competitor prices into account.
Category Managers Get More Time to Strategize
Medium-term trend forecasting is automated, so category managers have more time to strategize.
The platform handles:
- Slow-moving inventory detection, with price actions optimized to meet budget targets
- Medium-term trend forecasts, produced automatically
- Attribute-based segments that adapt to changing sales trends
- Price recommendations based on marketplace signals and competitor prices
What Does This Mean for You?
At Hepsiburada, manual analysis across a diverse category portfolio under changing market conditions overloaded planners and caused missed opportunities. With automated slow-mover detection, trend forecasting and price recommendations, its category managers have more time to strategize.
If your planners spend their time on manual analysis and your category managers lack a universal view of data and actionable insights, Hepsiburada faced the same problems. Solvoyo’s demand planning and pricing solutions are what it adopted for category management.
About Company
Hepsiburada is an e-commerce retailer with 2M+ SKUs across 30 categories, 50M+ monthly visitors and $1B in annual revenue.
Achievements
Automated slow-moving inventory detection and price optimization to meet budget targets
Medium-term trend forecasting for category managers
Attribute-based segments that adapt to changing sales trends
Price recommendations based on marketplace signals and competitor prices
Don’t take our word for it
As intriguing as the benefits this e-commerce retailer achieved from the planning solution, is the ongoing journey they are on to leverage artificial intelligence to deliver even greater competitive differentiation.
Even though our main goal as an e-commerce retailer was managing growth after we went live, with Solvoyo our inventory turns improved by 61% while our availability increased by 44% and our sales almost doubled.
Cash flow in e-commerce is extremely important; the more free cash we generate, the better we operate. It is extremely important for this type of business. The savings run into the tens of millions of dollars.
Using Solvoyo’s Markdown Optimization solution, we now can achieve different business objectives. With an AI/ML predictive life cycle forecasting engine, Solvoyo prevents us from taking unnecessary discounts and thus, minimizing margin lost.
