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.
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.
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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Join the companies that are already using AI Dealavo to streamline repricing and boost profits.
