Price Automation and Dynamic Pricing Tools – 2026 Comparison

Knowing what prices your competitors charge is only half the battle – the other half is adjusting your own prices quickly enough to win the sale without giving up margin. That is exactly what automated repricing and dynamic pricing tools deliver. In this guide we explain what price automation is, how rule-based and AI-based approaches differ, and what to watch out for. We then compare the leading tools for online retailers in Poland, the DACH region and the UK in 2026. Every feature has been verified against the vendors’ public documentation.

Automated repricing means changing your product prices in response to market conditions – competitor prices, demand, stock levels and margin targets – using rules or AI, instead of editing them manually. The pricing engine takes data from monitoring and continuously updates your prices according to the goal you set (e.g. stay X% below the competitor, keep a minimum margin threshold, win the Buy Box, maximise profit).

What is dynamic pricing?

Dynamic pricing is price automation applied continuously and at scale. These are dynamic prices that move almost in real time with demand, competition and other signals, rather than following a rigid schedule. In practice the terms overlap: “repricing” is common on marketplaces (Amazon, Allegro), while “dynamic pricing” refers to a broader strategy. Both rest on the same foundation: the supply of high-quality competitor price data

Rules vs. AI – what is the difference?

This is the most important distinction when comparing tools – and the area where marketing language is most often ahead of reality.

• Rule-based automation follows the logic you define yourself: “Keep the price 1% below the cheapest competitor, but never below cost plus 10%.” It is transparent, predictable and quick to configure. This is what most tools do, including some that advertise themselves as “AI-powered”.
  

  Rule-based automation – Dealavo app screenshot

• AI-based (predictive) automation estimates price elasticity and the role of each product (traffic driver or long-tail item), forecasts the impact of a price change on revenue and profit, and then optimises. Genuine, documented machine learning in pricing is more the exception than the rule here.

AI-based (predictive) automation – Dealavo application screenshot

The strongest configurations offer both: rules and guardrails for products you want to keep under control, and AI for products where machine optimisation beats the rigid rule.

Why is price automation important for online retailers?

• automatically protects margin – enforces thresholds and price floors so you never sell below a safe level, even during a price war;
• enables reactions in hours instead of weeks – for fast-moving products, manual price changes are always too late;
• sets the right price in every channel – your optimal price in your own shop is rarely the optimal price on Allegro or Amazon;
• frees up the team – instead of editing spreadsheets, pricing managers start building strategy and making better decisions;
• turns monitoring into money – active monitoring exposes the gap, automation closes it without mercy.

What should you look for when choosing a price automation tool?

• rule flexibility – any rule combined with limits, ideally manageable through a library of limits;
• prices per channel – separate prices for your own shop and each marketplace;
• automatic addition – new products land in the right rules automatically as the assortment rotates;
• a real AI option – optimisation aware of elasticity and product role, with an actual method behind the label;
• safety and transparency – lower and upper bounds, simulation and traceable logic;
• data foundation – does the tool have its own monitoring (with depth: strike-through prices, Omnibus, shipping costs) or do you have to supply competitor data yourself;
• structure, pricing and contract model – from straightforward self-service options for SMBs to full enterprise projects, billed monthly or on long-term annual contracts.

Risks and downsides of price automation

Automated repricing amplifies both good and bad decisions – a misconfigured rule can push the price below the margin threshold within hours, or trigger a price war in which everyone loses. Engines that rely solely on competitor prices tend to a “race to the bottom”, especially when one market participant has a feed error or a stock clearance. Without minimum and maximum bounds, safeguards and Omnibus prices, it is easy to breach legal requirements or invalidate discount notices. A separate risk is input-data quality – automation is only as good as the monitoring behind it, so incorrect product matching translates directly into bad prices. Finally, in categories with a strong brand effect or a long decision cycle, the lowest price rarely wins the sale, and constantly playing with prices can even lower perceived product value.

Comparison of 9 tools – detailed descriptions

(Facts verified on public vendor websites. Note: “not documented” means the feature is not publicly stated – not that it is definitely absent.)

1. Dealavo

Best suited for: mid-market and enterprise retailers who want both rules and AI – with their own, multi-channel monitoring data – without the “enterprise-only” label.

Dealavo combines one of the broadest confirmed monitoring footprints in Europe with a rich repricing engine – so you work with data you control. Since 2025, Dealavo has been part of the JTL Software Group.

• Rules built for real portfolios. Configure any rule with lower and upper bounds under control (thanks to the limits library); set separate prices per channel (own shop, Allegro, Amazon, eBay, Idealo etc.); and add new products to rules automatically as the assortment rotates – including bundles and variants that tools relying only on EAN codes routinely confuse.
• AI-based repricing – with your data. Through the ERP integration we pull in transactional data, and visit statistics from Google Analytics 4. That data feeds our AI engine, which weighs the price elasticity and role of every product (traffic driver, long tail). We build margin charts on the same data.
• Reliable data. Dealavo works on a full monitoring feed (over 1,000 sources, more than 20 countries, 99% data accuracy, quality-checked product matching with and without EAN codes; Google Shopping, Allegro, Amazon, eBay, Idealo, Otto, Kaufland, Empik and many more) and also takes strike-through prices, Omnibus and shipping costs into account – so it reacts to the real final price, not just the price tag.
• One rule covers several channels, in one view – instead of a separate account per channel.
• Free demo on your data, not a sandbox. The free one-week demo runs on your catalogue and the sources you choose.

Packages: from Counter-Price packages for SMB and mid-market up to an extended enterprise solution; custom pricing.

2. Competera

Best suited for: large enterprise retailers who want the best-documented AI price optimisation.

Competera (founded 2014) targets large companies; customers include OBI, LG, Watsons and Unilever.

Strengths:

• backs up its AI story with the strongest arguments (deep-learning models, “95% decision accuracy”);
• also offers a rule-based and market-based engine;
• documented REST API and SAP integration.

Things to note:

• an enterprise solution – usually with an implementation fee and billing based on actual data usage, so costs are harder to plan than with a fixed subscription;
• access only after a sales presentation (demo);
• long implementation phase.

3. Omnia Retail

Best suited for: mid-sized and large retailers in Western Europe who want transparent rule-based dynamic pricing with an AI oversight layer.

Omnia Retail (Amsterdam, around 2013; owned by Patagona) is anchored mainly in Western Europe and targets mid-sized and large retail chains with their own e-commerce. In Poland its footprint and price-comparison coverage are limited – notably, Allegro and Ceneo are not among its confirmed sources.

Strengths:

• powerful rule engine – per-competitor rules and product dependencies, deviation from the average, Omnibus support;
• Amazon Buy Box determined by AI, plus explanations of why the tool set a given price;
• starts at about €399/month; confirms Google Shopping, Idealo, Amazon, eBay and Kaufland.

Things to note:

• products are matched primarily via EAN codes, which becomes a limitation with multipacks and single-unit sales;
• Allegro and Ceneo are not listed among supported sources.

4. Prisync

Best suited for: SMB and mid-market retailers who want simple rule-based automation.

Prisync (Istanbul, 2013) is a SaaS tool with the most transparent public price list on this list.

Strengths:

• public packages USD 199–399 per month;
• unlimited competitor tracking;
• one-click integrations with Shopify and Magento;
• three price updates per day.

Things to note:

• despite the “AI” tagline, the engine is rule-based;
• only Google Shopping and Amazon are natively supported – you add other sources manually by supplying URLs that you then maintain yourself;
• API and price history cost extra, outside the base package.

5. PriceShape

Best suited for: SMB and mid-market retailers looking for monitoring combined with rule-based automation and Google Shopping ad optimisation.

PriceShape (Aarhus, 2018) has around 800 customers, including Bang & Olufsen and Intersport.

Strengths:

• daily rule-based dynamic pricing with a readable rule summary (preview of impact on position and margin);
• dynamic tags and solid safeguards (minimum and maximum price limits);
• “ROAS Booster” in the package – the tool sends an additional file to Google Merchant Center and tags products in Google Ads campaigns to improve ROAS (return on ad spend);
• price list starting at €500 per month.

Things to note:

• price updates are daily and rule-based (no machine-learning model);
• coverage is built mainly around Google Shopping;
• interface in English only, annual contract.

6. LivePrice (liveprice.pl)

Best suited for: Polish retailers and distributors who need flexible rules tuned to Allegro and Ceneo.

LivePrice (Data Dynamics, Warsaw) has been active on the Polish market for over a decade and is built around Allegro and Ceneo. Besides price automation, it supports CPC bid automation on Ceneo, so pricing and ad spend on price-comparison sites can be managed from a single panel. Interface, documentation and support are Polish-only – a plus for local teams, a minus for foreign sales.

Strengths:

• “Cenomatic” engine with 26 modes and CPC bid automation on Ceneo, rules based on stock levels and a promotion calendar;
• confirmed sources: Allegro, Ceneo, Idealo, Google Shopping and Amazon;
• the most comprehensive local ERP integrations (including Comarch ERP XL, Subiekt), with no surcharge for the repricing module;
• often cheaper than Dealavo.

Things to note:

• data and rules are split into separate accounts per channel – you cannot cover three channels with one rule in a single view;
• price history covers 30 days;
• the feed is available only in XML; website and UI are Polish-only.

7. Brandly360

Best suited for: manufacturers and brand owners (mostly from Poland) who want automation alongside brand analytics and digital shelf.

Brandly360 (Data Venture, Poznań) is aimed primarily at manufacturers and brand owners; customers include Samsung, Lenovo and Panasonic.

Strengths:

• pre-built and custom rule scenarios (created by Brandly consultants) and “dynamic pricing” as an option based on machine learning;
• confirmed sources: Allegro, Amazon, Google Shopping and Ceneo;
• contractual guarantee of 99.7% data quality and a dedicated account manager.

Things to note:

• rules are configured together with a consultant rather than fully self-service;
• the machine-learning story is not technically documented;
• customers note the long implementation.

8. Berryboo

Best suited for: Polish SMBs who want very cheap rule-based automation.

Berryboo (Kolbuszowa, 2023) is a young, low-cost start-up for smaller Polish shops.

Strengths:

• very low price with no caps (monitoring with sales statistics and price updates PLN 499/month);
• rules with minimum and maximum bounds.

Things to note:

• rules tend to be added product by product (no groups) and without accounting for shipping costs;
• Ceneo and Allegro are not included by default;
• no API and no export; works in Poland only.

9. 7Learnings

Best suited for: data-rich enterprise retailers who want predictive pricing – and who either have competitor data or do not need it.

7Learnings (Berlin, 2019; Series B in 2025) is the purest case of AI-based pricing on this list; customers include Westwing and bonprix.

Strengths:

• demand forecasting via machine learning, validated by A/B tests;
• declared profit uplift of around 10–15%;
• can jointly optimise prices and marketing spend.

Things to note:

• this is important – the tool does not collect competitor prices; it works with your sales data, so it complements a monitoring tool, it does not replace it;
• implementation takes 3–4 months.

**Also relevant: Intelligence Node offers “Smart Pricing” in its global enterprise package; Patagona is now part of Omnia; Sellerlogic* is a strong engine exclusively for Amazon.*

Price automation tools at a glance

Legend: “yes” = documented · “—” = not publicly documented · “no” = not offered.

“AI (doc.)” = machine learning in pricing with a published method · “AI (marketing)” = AI claimed but not documented · “Rules” = rule-based.

The comparison shows clearly that no single tool is perfect for everything. The best-documented AI (Competera, 7Learnings) is available only for enterprise, after a sales presentation and with long implementation – and 7Learnings does not collect competitor prices. Cheaper, more accessible tools work mostly on a rule basis. Dealavo offers both – rules and AI – with prices per channel, automatic addition of products and a deep monitoring feed underneath (strike-through prices, Omnibus, shipping costs), at a price affordable for mid-sized companies.

How to choose the right tool for my shop

Smaller retailer / SMB. Dealavo’s Counter-Price package (https://dealavo.com/de/repricing/), if you want a path to AI, prices per channel and a deeper feed. Prisync or Berryboo (PL), on the other hand, for transparent self-service rules.

Mid-market, multi-channel (PL / DACH / UK). Dealavo – rules and AI, prices per channel, automatic addition of products to rules, with data that covers, among others, Google Shopping, Allegro and Amazon in a single view. LivePrice is the cheapest Polish alternative, but with data split across separate accounts.

Amazon only. Sellerlogic (Buy Box exclusively on Amazon) is exactly that; Dealavo if, alongside Amazon, you also need the other channels and price-comparison sites in one tool.

Enterprise that wants the maximum of AI. Competera for documented optimisation, or complement with 7Learnings for predictive pricing on top of competitor prices from monitoring, such as Dealavo’s.

Dealavo vs. LivePrice vs. Competera – in short.

LivePrice is cheaper if you sell only in Poland and accept downsides such as separate accounts per channel and the lack of a real AI layer. Competera delivers the best-documented AI optimisation, but only with enterprise budget and implementation process. Dealavo bridges these two worlds – rules and AI, prices per channel and a data-rich feed in one view, at a price affordable for the mid-market.

FAQ – price automation and dynamic pricing

*Start with the data: price automation is only as good as the prices it reacts to. Take a look at our guide to the best price analytics tools.*

Or test it with your own data: Dealavo’s free one-week demo runs on your real catalogue and the monitoring sources you choose.

Sources – price automation and dynamic pricing tools 2026

The tool descriptions were prepared based on public vendor websites, their case studies and press releases (as of 2 July 2026). The document contains only sources whose content has been personally verified and that actually support the statements made in the article.

Dealavo

• https://dealavo.com/pl/repricing – AI repricing; integrations with Allegro, Amazon, Ceneo, Empik, Google Shopping, IdoSell, WooCommerce, Shopify, Magento 2, BaseLinker; integration with Google Analytics; product segmentation by role (Traffic Builders, Basket Builders, Long-Tail).

Competera

• https://competera.ai – positioned as AI-Driven Retail Price Optimization; claims of “95%+ accuracy” and “98% SLA”; ML / Contextual AI; data ingestion from ERP.
• https://competera.ai/resources/case-studies/unilever – Unilever case study: real-time monitoring in 3 countries, 1.2 million data points per month, 98% SLA, 98%+ matching accuracy.
• https://competera.ai/resources/articles/competera-platform-now-on-sap-store – integration with SAP S/4HANA and SAP CAR, presence in the SAP Store.
• https://www.sap.com/germany/products/crm/partners/competera-uk-limited-competera-pricing-platform.html – Competera listing as a SAP partner.

Omnia Retail

• https://www.omniaretail.com – AI Dynamic Pricing, AI Price Monitoring, Amazon Buy Box support; customers Bol.com, Samsung, Philips, L’Oreal, Kaufland.
• https://www.omniaretail.com/pricing – Single-Shop package from €399/month for SMBs; Multi-Shop Enterprise on request.
• https://www.omniaretail.com/decathlon-case-study – Decathlon case study: ROAS +50%, conversion +80%.
• https://www.omniaretail.com/success-stories/hp – HP case study.
• https://www.omniaretail.com/blog/how-retailers-can-stay-compliant-with-the-omnibus-directive-in-2025 – “Directive Pricing Indicator” / “Min Selling Price Last 30 Days” feature for the Omnibus Directive.

Prisync

• https://prisync.com/pricing – public packages: URL Based USD 99–399, Channel Based USD 199–599, Hybrid USD 299–799; up to 3 price updates per day.

PriceShape

• https://priceshape.com – price automation; claim of “800+ companies”.
• https://priceshape.com/solutions/marketing-ad-spend-optimization – Marketing Ad Spend Optimization module with Supplementary Feed for Google Merchant Center.
• https://priceshape.com/pricing – custom pricing from €599/month.

LivePrice

• https://liveprice.pl – Cenomatic engine, pricing modes, CPC bid auctions on Ceneo, integrations with Comarch ERP XL and Subiekt, support for Allegro and Ceneo, price differentiation per channel.

Brandly360

• https://brandly360.com – dynamic pricing, service for manufacturers and shops, customers Samsung, Lenovo, Panasonic, Komputronik; claim of 10-minute scans; AI/ML support.
• https://brandly360.com/pl/obsluga/ – data quality based on AI/ML matching with manual verification by specialists.

Berryboo

• https://www.berryboo.ai – monitoring and price automation 24/7, EAN matching, support for Empik Marketplace, Allegro and Google Shopping.
• https://www.berryboo.ai/cennik-i-pakiety-berryboo/ – price list from PLN 690 net/month, three packages (Basic / Extended / Enterprise).

7Learnings

• https://7learnings.com – AI-powered predictive pricing, ML-based demand forecasting, claim of a profit uplift of “15%+”.
• https://7learnings.com/resources/case-study-westwing/ – Westwing case study with an A/B test on a selected assortment.
• https://7learnings.com/news/7learnings-secures-e10m-series-b/ – press release on the Series B round (€10 M+, 2025).