ECommerce is developing at a rapid pace, making price strategy one of the decisive factors in competition. Consumers compare listings across different channels at the same time, so even small price differences can influence purchasing decisions. For many of you, this means constantly monitoring the market and reacting quickly to competitors – a time-consuming process that also requires specialist knowledge.
That’s why we at Dealavo have developed Repricing AI. It is an intelligent solution for automated pricing. With this tool, you can increase sales and margins without having to design or test complex pricing scenarios. It is based on proven methods and transaction data and does the work for you, leaving you more time for growth.
Repricing AI is aimed at eCommerce professionals who want to make informed pricing decisions faster, more effectively and with less effort. It is particularly valuable for retailers among you who do not have their own pricing specialists.
What is repricing AI?
Repricing AI is an innovative pricing strategy within the Dealavo repricing module. It completely automates pricing in your store. Traditional methods force you to develop and implement rules yourself. With Repricing AI, a few basic parameters are all you need: Assign products to a strategy, define price limits, select data sources. The AI algorithm then takes over. It automatically adjusts prices based on sales data, competitive activity and product potential.
The important thing is that you can continue to define your own rules in classic repricing even with AI. Both approaches can be used in parallel and complement each other.
The basis of Repricing AI is a proven methodology based on the experience of large online retailers. This allows prices to be effectively optimized without the need for an in-house pricing team or in-depth specialist knowledge. The self-learning tool works in the background and continuously adapts the pricing strategy to market conditions.
Why are we introducing repricing AI?
Many of you know how important a well thought-out pricing strategy is. In practice, however, you often come up against obstacles when implementing it. Without your own pricing team, with little time and a lack of specialist knowledge, prices are often set on instinct or only in response to individual competitive actions. As a result, profits are lost and competitive strength dwindles.
This is exactly where Repricing AI comes in. Our tried-and-tested methodology is based on the experience of large, professional online retailers and can be implemented with little effort. There is no need to study pricing theories, analyse countless reports or experiment with settings, because the algorithm takes over these tasks, continuously monitors the market and optimizes the pricing strategy.
Even without your own team of analysts, Repricing AI provides you with professional support. The software combines speed, efficiency and minimal user involvement so that you can concentrate fully on your core business and your customers.
Requirements for the use of repricing AI
In order for repricing AI to develop its full potential, a number of technical and operational requirements must be met. Only then will the algorithm receive sufficient data to carry out well-founded analyses and generate reliable price recommendations.
Minimum requirements:
- In Dealavo, at least 500 monitored products are required so that we can effectively segment your range and test different strategies.
- Integrate GA4 or another transaction data source so that the algorithm can evaluate order histories, sales volumes and customer behavior. Integrate an analysis tool or sales system for this purpose.
First fulfill these requirements to activate Repricing AI. If the data is complete and up-to-date, the algorithm can fully exploit its potential. It then develops an effective pricing strategy that is optimally tailored to your product range.
This is how repricing AI can increase your sales:
How does the repricing AI strategy work? Step by step
Repricing AI automates the entire price cycle, i.e. data analysis, product range segmentation, tests and continuous optimization. The process at a glance:
- Create a repricing AI rule in the repricing module.
- Assign products, optionally set price limits (min./max.).
- You then select the data sources, for example GA4 or other connected integrations.
- From this moment on, the algorithm works automatically.
- Based on transaction and analysis data, the algorithm assigns each SKU to a role:
– traffic builder – products that attract visitors
– potential traffic builder – items with high reach potential
– long tail – products that are frequently purchased as shopping cart additions - This segmentation forms the basis for all further pricing decisions.
- Independent, suitably optimized pricing strategies apply to each of the three groups.
- Own, manually defined rules in classic repricing can exist in parallel; Repricing AI supplements them instead of replacing them.
- The algorithm only considers retailers that actually influence your sales. This avoids unnecessary “price wars” with suppliers who are irrelevant for your results.
- Initially, price changes are implemented on a limited, representative selection of products.
- The algorithm then gradually checks the influence of the rules on sales and margins.
- If the success is confirmed, we will gradually extend the strategy to other parts of the portfolio.
- Repricing AI continuously monitors the results and adjusts measures as soon as the data suggests an adjustment is necessary.
- The effects of this process can be tracked in the dashboard, for example changes in the average margin, sales volume, total margin and important key figures such as calls or shopping cart abandonment.
Results and reporting
The success of a pricing strategy can only be realistically evaluated if the results are measured precisely and regularly. This is precisely why Repricing AI offers an extended reporting module that shows the effects of the pricing rules applied in real time.
Two new charts appear in the dashboard:
- Changes in key business figures such as the average margin, sales volume or total margin are shown in a chart based on ERP data.
- A second chart uses GA4 data. It is used to analyze marketing and behavioral metrics such as product views, shopping cart additions and other engagement data.
If no ERP data is available, we create the first chart based on estimates in order to still provide a complete picture of the results.
This shows that not only sales but also the average margin is increasing, which clearly documents the effectiveness of the AI strategy.
Reporting in Repricing AI fulfills two central functions:
Summary
Repricing AI sets new standards in eCommerce price management. Through automation, proven methods and the elimination of a dedicated pricing team, the tool enables higher sales and margins with minimal effort for you as a user. The algorithm determines the optimal prices. It monitors them continuously and adjusts them immediately as soon as the market changes.
For you this means:
- Automation – you reduce manual tasks and focus more on your business growth.
- Autonomy – Since the tool creates and optimizes the strategy independently, you do not need your own pricing specialist.
- Efficiency – pricing decisions are based on solid data and proven methodology.
- Time savings and transparency – All processes run in the background, while you can track the results in clear reports.
Don’t wait for competitors to poach your customers with better prices. Test Repricing AI and experience how an intelligent pricing strategy can increase your sales and margins.
FAQ about Repricing AI from Dealavo
Repricing is a strategy that allows brands to react quickly to changes in the market. Whether it is the price of the product, demand, listing or changing trends that cause market fluctuations, dynamic pricing is something that comes in handy and allows retailers to adjust their prices in any situation.
No, after the initial setup, the software automatically optimizes the processes.
Yes, you can still define your own rules in classic repricing.
Repricing is a strategy that allows brands to react quickly to changes in the market. Whether it is the price of the product, demand, listing or changing trends that cause market fluctuations, dynamic pricing is something that comes in handy and allows retailers to adjust their prices in any situation.
