End-to-end product lifecycle management including catalog optimization, pricing strategies, and inventory monitoring for maximum profitability.
"Product management is responsible for what products are purchased into the company and also often in making sure that these products are sold. This workstream is responsible for keeping the stock levels optimal. Not too small, so there would be nothing to sell, but also not too high so the warehouse would be too full and too much cash would be held in it."
Success or failure of ecommerce retailers often depend on how well this workstream is managed. If this is done right, the retailer is growing and has the stocks well under control. If it gets out of control, it might bankrupt the company.
Product management is about finding the sweet spot and staying there as long as possible. It's a delicate balance between maintaining adequate stock levels to meet demand without tying up excessive capital.
Our Product Management Suite provides the tools and insights needed to optimize this balance, helping you grow profitably while maintaining control over your inventory.
Our experience shows these data visibility needs come up most frequently in product management:
What are our sales, gross margin and GM% per product, brand and product categories?
What is our stock level per product, brand and product categories?
For how long will our stock last based on current stock level and sellout tempo?
How are we offering the product in marketing systems?
How do our product perform on our website in terms of detail traffic and checkout process?
What is the marketing profit of our products, brands and product categories? [Marketing profit = gross margin - marketing cost]
How do our current prices compare to competitors?
To answer these use cases, our Product Management Suite comes ready with powerful reporting solutions.
Our comprehensive solution combines data from multiple sources to provide clear visibility into your product performance and inventory status.
Sales & stock integration
Combination of sales & stock metrics with core product management KPIs like Weeks on Hand (WOH) calculated automatically.
Custom categorization
Data presented on your own product catalogue with KPIs drillable on all levels, from EAN all the way to top category or brand.
Beyond standard metrics
Marketing profitability as a key profit metric, showing true performance after accounting for promotional costs.
Web analytics integration
Visibility on web and PPC data, helping you understand how products perform in different channels.
Market positioning
Competitor prices included to help you understand your market position and optimize pricing strategies.
Daily refreshed data
All data organized in one management dashboard with daily data freshness for timely decision making.
We offer flexible pricing options based on your business size and needs.
Up to 10K orders per month
Base 500 EUR
+200 EUR extended
Up to 50K orders per month
Base 850 EUR
+300 EUR extended
Above 50K orders per month
Base 1200 EUR
+400 EUR extended
Superior tier: Contact us for pricing estimate
Adoption phase ensures that your team gets maximum value from the delivered reporting solutions. Support in this step is often crucial to onboard all relevant team members on the solution, clearly define responsibilities and make sure that the presented data views are understood and accepted.
It is very beneficial to the culture and overall success of the organization if the data is consumed and utilized on many levels of the organization, not just by the top management. We recommend going in the direction of democratization of data and wide access to analytical tools.
In the specific case of product management, division of responsibilities is often done on top of brands or product segments for multiperson teams. This means that one colleague is responsible for a set of brands or categories, while another one for a different set.
WOH is often used as a core metric for management of stocks. Its power lies in the combination of current stock levels as well as the recent sellout tempo.
WOH 4 EUR = stock value EUR / average weekly sellout for last 4 weeks EUR
This metric yields an estimated amount of weeks for which we have available stocks on the given level of aggregation. A product manager can drill into their area of responsibility and look for sources of overstock or understock.
When we have all of the data which we need for the decision already available, the next step is to automate the actions.
Our process begins with a simple question:
"If you had all of the data available with infinite time and energy to make your decision, how would you decide?"
Custom pricing algorithms
Automated pricing algorithm which sets prices of your products based on your business logic. Our approach is that we tailor the solution based on your pricing strategy - you tell us how you want to price!
Example pricing strategies include:
Product recommendation engine
Advanced recommendation algorithms to suggest related products and increase basket size. Personalized for each customer based on their browsing and purchase history.
Inventory optimization
Automated inventory management system that predicts optimal stock levels and triggers reorder points based on sales velocity, seasonality, and lead times.