Automate pricing decisions based on real-time competitor data. Rules, limits, and AI recommendations—you set the strategy, and the system executes it.
Pricing decisions based on market data, not on gut feelings
Automatic response to changes in competitors' prices — 24/7
Rules by category, competitor, and channel — full control over your pricing strategy
This is the natural next step after price monitoring. You turn your understanding of the market into action: recommendations or automation. AI-powered dynamic pricing is how modern e-commerce manages the prices of thousands of products simultaneously.
An up-to-date overview of competitors' prices, availability, and promotions across all channels.
Pricing recommendations tailored to your strategy, implemented automatically or via approval.
A measurable impact on margins and revenue through continuous price optimization.
Data collection and mapping
Standardization of prices and availability across all channels.
Choosing a strategy
Set your goals (margin / revenue / market share) and the process for approving changes.
AI Optimization
The model recommends optimal price adjustments in real time based on market conditions.
Implementation and measurement
Publishing, tracking results, alerts, and change logs.
Setting a single rule—“be the cheapest on everything”—is the most common mistake in repricing. It erodes margins on products for which no one compares prices, while failing to provide a competitive advantage where customers are actually looking for the lowest price.
An effective pricing strategy divides the product range into three categories:
| The Role of the Product | What is | Pricing Strategy | Portfolio Allocation |
|---|---|---|---|
| Traffic-Generating Products Traffic Builders | Best-sellers that customers actively compare across stores. That's where they start their shopping. | Low markup, best price. They draw customers into the store. | ~20% |
| Items in the shopping cart Basket Builders | Matching items for the main product—a TV cable, a phone case, and treats to go with the pet food. | Average margin, market-level pricing. The customer is already in the store and isn't comparing prices as much. | ~20–40% |
| Long-tail products Long-tail | Products that customers don't look for on their own and can't say how much they cost. | High profit margin. Customers don't compare prices—they add items to their cart on a whim. | ~40–60% |
A segmentation methodology developed by Dealavo's Pricing Consulting team based on data from more than 500 repricing implementations in Europe.
Dealavo’s AI repricing feature lets you set separate pricing rules for each group—with different margin targets, different competitors to track, and different limits. Instead of a single strategy for your entire product range, you build a cohesive system: traffic builders drive traffic, basket builders increase cart value, and long-tail products generate profit.
How do you determine which product plays which role? Dealavo integrates with Google Analytics 4 (for free)—thanks to data on views, sales, and conversions, you can see which products customers buy first (traffic builders), which they add to their cart (basket builders), and which they don’t find on their own (long-tail).
Teams that want to speed up pricing decisions
Scale pricing decisions without increasing the operational burden. Consistent pricing across all markets.
Companies with a well-established pricing strategy
Repricing AI works seamlessly with your processes and data. Whether you choose recommendation mode or full automation, you remain in control.
“In today’s business environment, quick access to information and its analysis are crucial. Dealavo provides us with that access by delivering insights into how our distribution and pricing strategies are performing in the market. For Dealavo, nothing is impossible.”
“At Dr. Max, we sell thousands of products. Thanks to Dealavo, we’re always up to date on market trends. Dealavo provides us with reliable data on 24,000 products.”
“Ever since my first interaction with Dealavo, I’ve considered this company to be world-class in many respects. The quality of the data they provide is excellent, and the team is a pleasure to work with.”
Repricing AI works because it combines three elements: up-to-date market data, proven AI models, and your business rules. It’s not a black box—it’s a repricing tool that understands your goals and helps you achieve them faster.
With constant access to data on competitors’ prices and availability, the system knows what’s happening in the market right now. AI processes this information and suggests optimal decisions—always within the limits you set: minimum prices, maximum prices, MAP, and rules per category.
Impact on your business? Predictable results—especially important during campaigns and peak seasons, when manually managing prices for hundreds or thousands of products would be impossible. You start in recommendation mode, review the results, and then decide how much you want to automate.
You define your pricing strategy, set rules, and view a simulation of recommended prices—and only then do you activate it. The system adjusts prices automatically, but you retain final control.
Set whether you want to be cheaper, more expensive, or on par with the cheapest, the market average, the most expensive, or a specific position in the ranking (e.g., the 70th percentile of the price ranking)
Select whether you want to compare yourself to the entire market, specific sellers, or exclude selected competitors
Set a minimum margin as a fixed amount or a percentage (e.g., “a minimum margin of 25% or a profit of 5 zł per unit”). The system will not go below this threshold.
The upper limit above which the price will not rise
Automatic rounding (e.g., 0.99 PLN, 20.99 PLN)
What happens when there is no competition, or when the rule’s objective cannot be achieved due to the minimum limit?
Multiple scenarios at once; the system executes them in order of priority
Assign products based on filters (brand, price, inventory status, ERP label). When a product no longer meets the criteria, it automatically moves to a different rule.
I want to be the cheapest on the market, excluding Allegro and select competitors on Ceneo
a price equal to the market average
Assign the following to the rule: products from Brand X, priced above 50 PLN, with a stock level of fewer than 5 units, and labeled “promotion” in the ERP system
Separate price recommendations and different margin limits for my store, Allegro, Amazon, and my store in Germany
Dynamic pricing in e-commerce means automatically adjusting prices based on market conditions—competition, demand, and your business goals. Instead of changing prices manually, the system does it for you according to predefined rules.
The customer compares prices and chooses the cheapest offer. Prices change every day. With thousands of SKUs, manual management is impossible—you need a system that responds automatically.
Allegro, your own online store, Amazon, price comparison sites—each channel has different competition and different commission rates. You need a consistent pricing strategy, but with different prices on different channels.
On Allegro, you compete with different sellers than you do in your own store. The platform's commissions eat into your profit margin. The optimal price varies by channel—the system takes this into account automatically.
Not every price automation tool is equally effective. Before you choose a provider, check a few key criteria—the differences between them determine whether the system pays for itself or generates losses.
— how often the system checks competitors' prices. Once a day might not be enough in highly dynamic categories.
— Does the system allow you to set a minimum margin below which the price won't drop? Without this, automation could eat into your profits.
— Does the system integrate with your store, ERP, and marketplaces? The less manual work, the better.
— the ability to view recommended prices before the rule takes effect in production.
— the ability to set different prices and different margin limits for individual sales channels.
— the ability to choose who you compare yourself to: the entire source, specific sellers, or exclusions.
Repricing makes sense for 100 or more popular products. Below that threshold, you can manage prices manually faster than it takes to set up the system. Above that threshold, the time spent on manual monitoring costs more than the subscription fee.
Pricing for repricing is determined on a case-by-case basis. Key factors:
We don’t publish a price list—but you’ll receive a free demo and a customized quote within 24 hours.
Yes. You don’t need thousands of products to get started. If you have more than 100 products, sell through at least two channels, and change your prices more than once a week—repricing will likely save you more time than it costs.
Find out how much time and money you’ll save with automated monitoring of competitors’ prices
"Must-have" products that generate the most revenue
E.g. Amazon, eBay, Google Shopping – don't count your own store
Fill in the data and click "Calculate savings" to see the results
Calculated: 0 channels × 0 products × 30 sec. × 30 days
Assumption: checking one competitor's price takes on average 30 seconds
Dealavo’s automatic price recommendations do not exempt you from complying with the Omnibus Directive—but they do make compliance easier. The system provides historical price data, which you can use to determine a reference price before launching a promotion.
The Omnibus Directive requires you to inform customers of the lowest price from the 30 days prior to the promotion. Dealavo supports this process—the historical report includes a column showing the lowest price from the past 30 days (Minimum Price), which can be enabled in the settings.
Please note: The seller is responsible for ensuring that Omnibus prices are displayed correctly in the store. Dealavo provides the data—it’s up to you or your IT team to implement it in your store.
Dealavo integrates with popular e-commerce platforms: IdoSell, BaseLinker, WooCommerce, Shoper, Shopware, Shopify, PrestaShop, Magento, eBay, Subiekt GT, Google Analytics, and JTL. Data is available via API (JSON), CSV, XML, and XLSX.
Answers to the most common questions about price monitoring
Repricing AI is a repricing and price automation tool that continuously analyzes market data and recommends or implements optimal price changes – within the rules you set. Manual repricing means checking competitors and adjusting prices in a spreadsheet. Repricing AI does it faster, on thousands of SKUs simultaneously and without interruption – 24/7. You retain control over price limits, strategy and approval mode.
Repricing AI works with popular e-commerce platforms (IdoSell, WooCommerce, Shopify, Magento 2, Baselinker). The integration allows you to automatically implement price recommendations. You can also use recommendation mode – without integration – and approve changes manually.
Yes. You don’t have to automate the entire assortment. You can choose specific categories, product groups or individual SKUs. Many companies start with 20% of the products responsible for 80% of the turnover (the 80/20 rule), and then gradually expand the scope.
The first effects – such as an increase in margin or an improvement in price position – are usually visible after 2-4 weeks. Full optimization takes 1-3 months, because the algorithm needs historical data to calibrate recommendations more precisely.
Yes. Dealavo’s dynamic pricing supports repricing on marketplaces and price comparison sites. You can set up separate rules per platform, per competitor and per product group – so your pricing strategy is tailored to the specifics of each channel.
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