Industry Specialty
Top E-commerce AI Agencies in Europe
There are 139 E-commerce-specialized AI agencies in Europe. The top-ranked for 2026 are Satalia, Datatonic, and DataSentics. Listed rates in Europe run €65–110/hr across 145 rated agencies. Key hubs include London, Prague, Paris.
80 of the 139 agencies listed have documented E-commerce client work, verified against published case studies.
E-commerce is where AI pays back fastest and gets measured hardest: personalization, search and recommendations, catalog automation, and support deflection all land directly in conversion and cost lines. These agencies build against your platform's real constraints—Shopify, commercetools, home-grown stacks—and prove impact in revenue per session, not demo videos. Look for AI Automation for catalog and support workflows and Generative AI for product content at scale.
Intro by Gabor Kiss, curator · How we rank
Market snapshot
Pricing for E-commerce AI agencies in Europe
Of the 139 e-commerce ai agencies on this page, 67 publish complete hourly rate ranges. Across them, rates span €20–€175, with a median around €65/hr. Across the register, rated agencies in Europe bill €65–110/hr (145 rated).
European AI agency hourly rates by country and region →
| Tier | Hourly rate | Agencies |
|---|---|---|
| Budget | €50–99/hr | 62 — Square Root Solutions, Upside Lab, Imobisoft, DATAFOREST, Lazy Ants, Indigo Labs, xtream, Alice Labs, +54 more |
| Mid-tier | €100–149/hr | 5 — Brainpool, Blck Alpaca, Context Studios, NOVOS, agency28 |
Team capacity in Europe
Of the 139 agencies on this page, 127 disclose team size. The distribution breaks down as:
- Boutique (<10)26 agencies — Alice Labs, HolistiCRM, 010 Coding Collective, Softspring, Qemie, Alpdev, Qweri, Sequance, +18 more
- Small/mid (10-49)45 agencies — Square Root Solutions, Upside Lab, Imobisoft, Lazy Ants, Brainpool, Crunch Analytics, Dmlab, Geneea, +37 more
- Mid studio (50-99)41 agencies — Satalia, Datatonic, DataSentics, Rewire, DATAFOREST, Dear Future, Datasparq, Tom & Co, +33 more
- Large studio (100+)15 agencies — Artefact, Converteo, Lingaro, AVISIA, STX Next, G+D Netcetera, BI4ALL, Closer Consulting, +7 more
Ranked agencies
Rankings updated · Newest review

Satalia
#1London, United Kingdom
Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.

Datatonic
#2London, United Kingdom
Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.

DataSentics
#3Prague, Czech Republic
Best for: Large enterprises in finance, insurance, retail and e-commerce that need a production ML system built with a named internal data team.

Artefact
#4Paris, France
Best for: Large consumer and industrial groups that want AI agents adopted across a workforce, not piloted in one team.

Converteo
#5Paris, France
Best for: Retail and consumer brands putting a customer-facing agent into production, with the evaluation and rollback to match.

Rewire
#6Amsterdam, Netherlands
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.

Square Root Solutions
#7Dublin, Ireland
Best for: Irish and European SMEs and founders buying a whole product build, with AI as one layer inside it rather than the whole engagement.

Upside Lab
#8Kraków, Poland
Best for: Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.

Imobisoft
#9London, United Kingdom
Best for: Health and industrial companies taking a risk-scoring or compliance-reporting workflow from paper to a regulated digital platform.

DATAFOREST
#10Tallinn, Estonia
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.

Lazy Ants
#11Frankfurt, Germany
Lazy Ants is a Frankfurt product engineering firm working across AI, Web3 and e-commerce, with an AI practice focused on taking operational workflows into production under verification and rollout constraints.

Brainpool
#12London, United Kingdom
Best for: Operators with a measurable production bottleneck AI can remove—from timber design queues to e-commerce pipelines.

Crunch Analytics
#13Ghent, Belgium
Best for: Retail and manufacturing teams that want pricing, forecasting and assortment calls made by a model their analysts can run.

Dear Future
#14Copenhagen, Denmark
Best for: Consumer brands with first-party data already in the stack that want it turned into predictions the marketing team will actually use.

Lingaro
#15Warsaw, Poland
Lingaro is a Warsaw-headquartered data and AI engineering firm building enterprise data platforms, analytics and generative AI for global consumer brands.

Dmlab
#16Budapest, Hungary
Best for: Hungarian operators in energy, logistics or media that need a forecasting system wired into how the business already trades.

Datasparq
#17London, United Kingdom
Best for: Operational businesses with data already flowing that want a system built on it rather than a strategy deck.

AVISIA
#18Lyon, France
Best for: Large French consumer businesses industrializing scoring or support automation that already runs past the pilot stage.

Geneea
#19Prague, Czech Republic
Best for: Media, banking and e-commerce platforms running high-volume, multi-market NLP on live customer content, not one-off pilots.

Modulai
#20Stockholm, Sweden
Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.

Amsterdam Data Collective
#21Amsterdam, Netherlands
Best for: Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.

Indigo Labs
#22Ljubljana, Slovenia
Best for: Product teams that want a scoped AI build with the duration, team size and budget stated before the contract.

xtream
#23Milan, Italy
Best for: Utilities, lenders and scale-ups with a defined forecasting or planning problem and the data to feed it, handed over as a production model.

Alice Labs
#24Stockholm, Sweden
Alice Labs is a Stockholm AI consultancy working with Nordic companies on strategy, agent builds, document and marketing automation, and team training.
Talking to me
#25Stockholm, Sweden
Talking to me is a Stockholm generative AI consultancy building conversational assistants and voice systems on its own platform, with a second office in Malmo.
HolistiCRM
#26Budapest, Hungary
Best for: Banks, retailers and utilities that want a propensity or next-best-offer model on their own data, scored on a business rate.

010 Coding Collective
#27Rotterdam, Netherlands
Best for: Founders and small teams who need a working AI feature in production fast, with the compliance reasoning written down.

Softspring
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#28Madrid, Spain
Best for: Founder-led products that need one AI feature built properly, with the data boundary and the human checkpoint decided up front.
Tom & Co
#29London, United Kingdom
Tom & Co is a London e-commerce agency building Adobe Commerce and headless storefronts for retail brands, with a separate AI practice covering generative imagery and workflow automation.

LANARS
#30Oslo, Norway
Best for: Hardware startups that need firmware, apps and cloud built by one team, with model work brought in alongside.

STX Next
#31Poznań, Poland
Best for: Python-heavy teams that need senior engineers now, with AI built into how the work is delivered and reviewed.

Merixstudio
#32Poznań, Poland
Best for: Product owners modernizing a platform who want AI inside the delivery process and in selected features, not a model built from scratch.

Linnify
#33Cluj-Napoca, Romania
Best for: Founders and product owners who want an AI product validated and shaped before it is built, not just engineered to a spec.

Wolfpack Digital
#34Cluj-Napoca, Romania
Best for: Companies shipping a mobile or web product, including AI products that need everything around the model built properly.

iCentric Agency
#35London, United Kingdom
iCentric Agency is a London and Bedfordshire digital consultancy building custom platforms for enterprise clients, with machine-learning pricing, document processing and agentic tooling among its published specialisms.

Addepto
#36Warsaw, Poland
Best for: Retail and e-commerce operators automating visual quality and compliance checks with computer vision.
Algorithma
#37Stockholm, Sweden
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.

Algomine
#38Warsaw, Poland
Algomine is a Warsaw AI and data-science house building generative AI, predictive machine learning, data platforms and MLOps for enterprise clients.

Datarmony
#39Barcelona, Spain
Best for: Retail and travel brands fixing attribution, forecasting and data quality before they buy anything LLM-shaped.

Amach
#40Dublin, Ireland
Amach is a Dublin data and cloud engineering consultancy working on contact-centre platforms, automation and analytics, with a specialism in airline and loyalty operations.

Altar.io
#41Lisbon, Portugal
Best for: Funded founders building a regulated fintech or commerce product who want engineering that carries them to the next raise.

Ekimetrics
#42London, United Kingdom
Best for: Consumer and industrial brands that need marketing spend measured and modeled rather than an AI system built.

Klingit
#43Stockholm, Sweden
Best for: Consumer brands that need campaign volume at production economics a photoshoot cannot reach.

QUANT AI Lab
#44Madrid, Spain
QUANT AI Lab is a Madrid AI company building risk, forecasting and decision systems for regulated and operational environments, with offices in Paris, Bordeaux and London.

Qemie
#45Frankfurt, Germany
Best for: Small B2B teams replacing spreadsheet-and-CRM sales admin with automated pipelines their own staff can run.

Neoteric
#46Gdańsk, Poland
Neoteric is a Gdańsk software company founded in 2005, building generative AI and language-model applications alongside custom product development. Clutch named it a top artificial intelligence and generative AI company in 2023.

Wise Monks
#47Vilnius, Lithuania
Best for: Lithuanian mid-market operators buying a defined AI automation at a published price, with named clients to call in the same market.

7code
#48Cluj-Napoca, Romania
Best for: Founders who need a compliant retrieval-grounded product built and shipped in months, at a rate that leaves budget for the next iteration.

Lexogrine
#49Kraków, Poland
Best for: Founders shipping a consumer product that needs an AI feature designed, built and released inside one small team.

InData Labs
#50Vilnius, Lithuania
InData Labs is a data science and AI firm with a Lithuanian office, founded in 2014. Its practice covers machine learning, natural-language processing, computer vision and data engineering.

Alpdev
#51Ljubljana, Slovenia
Best for: Mid-market sales and support teams that want an AI system wired into the CRM, telephony or ERP they already run.

Lizard Global
#52Rotterdam, Netherlands
Best for: Scale-ups adding an AI feature to a product they already run, where the model is bought and the surrounding app must be built.

Dashbouquet
#53Tallinn, Estonia
Best for: Seed-stage founders who want an LLM feature or a data-extraction pipeline built into a product by the same team that ships the app.

WeAreBrain
#54Amsterdam, Netherlands
Best for: Product teams adding an AI feature to software they already run, whether that is a Heineken-scale rollout or a startup platform.
Push Group
#55London, United Kingdom
Push Group is a London performance marketing agency with an in-house innovation lab building AI agents, running generative engine optimization and AI-assisted research alongside paid media and SEO.

Anadea
#56Alicante, Spain
Anadea is a software development firm headquartered in Alicante, founded in 2000, running an AI department it dates to 2019. Its AI work covers agentic systems, LLM applications, and automation for product companies.

Qweri
#57Lyon, France
Qweri is a Lyon data-marketing consultancy building web analytics, data engineering and data-science pipelines for retail, e-commerce and B2B clients.

Sequance
#58Lyon, France
Sequance is a Lyon AI automation agency building low-code workflows and AI agents to reduce operational cost for small and mid-sized companies.

BySix
#59Lisbon, Portugal
Best for: Product and operations teams buying a first generative-AI agent wired into Jira, Slack, Shopify or an ATS at a fixed weekly price.

G+D Netcetera
#60Zurich, Switzerland
Best for: Banks and payment providers adding AI to platforms an established engineering partner already operates for them.

AI Pirates
#61Munich, Germany
Best for: Media and consumer brands that want AI skills built into the team, not just a system handed over.
Ortom
#62Manchester, United Kingdom
Best for: SMEs with one well-defined machine-learning problem who want a senior practitioner on it directly.

CGP Systems
#63Prague, Czech Republic
Best for: App publishers who need a shipped consumer product with an AI feature, not enterprises seeking back-office automation deployments.
Flowt
#64Lyon, France
Flowt is a Lyon data and AI agency taking projects from framing to production across business intelligence, data engineering, data science and generative AI.
Mozza
#65Paris, France
Best for: Companies that want an honest read on whether an AI project is worth building before commissioning one.

Inbold
#66Oslo, Norway
Best for: Consumer and healthcare brands needing campaign and compliance production at Nordic scale, with AI used in the making.

Powehi
#67Lyon, France
Powehi is a Lyon agency building AI agents and automation for small and mid-sized companies, with a stated preference for open-source models and sovereign, on-premise deployment.

BI4ALL
#68Lisbon, Portugal
BI4ALL is a Lisbon data and AI consultancy working on analytics platforms, machine learning and generative-AI automation for banking, insurance, pharmaceutical and energy clients.

Closer Consulting
#69Lisbon, Portugal
Closer Consulting is a Lisbon data science and AI consultancy working on machine learning, fraud and risk models and analytics platforms for banking, telecom, energy and retail clients.

Wolfgang Digital
#70Dublin, Ireland
Best for: Consumer retail brands in Ireland and the UK putting AI to work inside paid search, product feeds and email rather than building a system.

Qubix Consulting
#71Frankfurt, Germany
Best for: German wholesalers, manufacturers and online retailers modernizing ordering, ERP and shop systems.

Nathean Analytics
#72Dublin, Ireland
Nathean Analytics is a Dublin analytics consultancy building clinical and business intelligence platforms, data integration and reporting automation, and a founding industry member of Ireland's applied AI centre.

Jakala
#73Milan, Italy
Best for: Large retail and hospitality brands buying a marketing and data program at group scale rather than a single system.

Dataroots
#74Ghent, Belgium
Dataroots is a data and AI consultancy and part of the Talan Group, working across data strategy, machine learning, MLOps and generative AI for enterprise clients, with a Ghent office and its head office in Leuven.
schalk&friends
#75Munich, Germany
schalk&friends is a Munich digital agency working across commerce platforms, content management and marketing technology, with AI-driven personalization delivered inside customer-data platforms.

wukonig.com
#76Graz, Austria
Best for: B2B and industrial firms that want to be named in AI answers and will fund a measured, ongoing program.

DevXHub
#77Helsinki, Finland
DevXHub is a software company with a Helsinki office, building AI applications alongside full-stack product development. Its published AI work covers conversational platforms and multi-model AI tooling.

Fantasy Space
#78Madrid, Spain
Best for: Early-stage founders in Spain who need a product built quickly and will scope any real model work separately.

Enlightenment.ai
#79Lisbon, Portugal
Best for: Large consumer brands and banks that want a costed sequence for their data program before they commission any model.

Apertia Tech
#80Prague, Czech Republic
Apertia Tech is a Prague AI and business-systems firm building voice agents, invoice extraction and demand forecasting alongside the ERP and CRM platforms it implements for Czech companies.

FELD M
#81Munich, Germany
FELD M is a Munich data consultancy covering analytics, data engineering and privacy, with a data-science practice building predictive and classification models.

Brain Computing
#82Rome, Italy
Brain Computing is a Rome software house and consultancy building business-process automation, custom CRM and learning platforms with AI agents and blockchain notarization for training bodies, retailers and healthcare clients.

WITH Madrid
#83Madrid, Spain
Best for: Consumer and luxury brands that want a conversion or asset-delivery problem solved and measured, not a model built.

cronuts.digital
#84Barcelona, Spain
cronuts.digital is a Barcelona growth and AI consultancy building productized AI automation, retrieval systems and lead-scoring for B2B clients.
Minty Digital
#85Barcelona, Spain
Minty Digital is a Barcelona search marketing agency with a London office, working across technical SEO, digital PR and generative engine optimization for international brands.

Studio.351
#86Lisbon, Portugal
Studio.351 is a Lisbon digital agency offering workflow automation, retrieval assistants and document processing on n8n and language-model APIs, alongside search, generative engine optimization and paid media for hospitality, real-estate and commerce clients.
Blck Alpaca
#87Vienna, Austria
Blck Alpaca is a Vienna agency building custom AI agents, marketing automation and AI-search visibility for B2B companies in the German-speaking market.

Ronas IT
#88Tallinn, Estonia
Tallinn web and mobile development firm trading since 2007, with a published portfolio spanning generative AI tooling, in-app assistants and recommendation systems alongside a much larger body of conventional product work.

DevKit
#89Tallinn, Estonia
Tallinn software firm offering dedicated teams and staff augmentation, with AI work covering machine-learning vulnerability detection and automated remediation. Estonian headquarters with a US office in Wilmington.
Upscale Paris
#90Paris, France
Upscale Paris is a Paris AI consultancy working on operating-model change, from AI strategy and governance through prototype builds to adoption programs inside client teams.

Datalyo
#91Lyon, France
Datalyo is a Lyon data and AI consultancy building data platforms, machine-learning models and business intelligence for industrial, retail and public-sector clients.

Datrix
#92Milan, Italy
Datrix is a Milan AI group that acquires software companies and builds machine learning, forecasting and scoring into them, working across financial services, marketing technology and industrial data.

ActinVision
#93Lyon, France
ActinVision is a data and AI consultancy with a Lyon office building data platforms, visualization, data science and generative AI for industry, retail and logistics clients.

Senpai Growth Studios
#94Helsinki, Finland
Senpai Growth Studios is a Helsinki automation and software firm building AI agents, integrations and custom applications, including an agent-based website generation product of its own.

AISO Hub
#95Lisbon, Portugal
AISO Hub is a Lisbon AI-search optimization agency working on structured data, answer-shaped page architecture and citation monitoring so brands are quotable by ChatGPT, Perplexity, Gemini and AI Overviews.

MS iHub
#96Ljubljana, Slovenia
Slovenian digital product studio building AI into operations for scale-up companies — workforce planning optimization, data platforms and generated product content — alongside platform and MVP development.

Context Studios
#97Berlin, Germany
Context Studios is a Berlin AI-native development studio building production MVPs, autonomous agents on the Model Context Protocol and language-model integrations at published fixed prices.

Vocalime
#98Milan, Italy
Vocalime is a Milan conversational-AI studio building voice assistants, chatbots and custom conversational products for consumer brands, broadcasters and software companies.

Paradigma Digital
#99Madrid, Spain
Paradigma Digital is a data and AI engineering firm in greater Madrid building cloud-native data platforms, machine learning and generative AI for large Spanish enterprises.

FFFACE.me
#100Paris, France
FFFACE.me is an augmented-reality and AI try-on studio with a Paris office, founded in 2019. It builds virtual try-on experiences, AR mirrors, and generated content for fashion, beauty, and consumer brands.

Vention
#101London, United Kingdom
Vention is a software engineering firm with a London office, running an AI Center of Excellence alongside its platform practice. Its AI work spans computer vision, retrieval systems, and agent development.

Cloud District
#102Madrid, Spain
Cloud District is a Madrid digital product and software firm building custom applications, AI and data solutions for B2B and startup clients.

Atomic Actions
#103Warsaw, Poland
Atomic Actions is a Warsaw AI automation agency building AI implementation, machine-learning consulting and no-code automation for B2B clients.

R-Szoft
#104Budapest, Hungary
R-Szoft is a Budapest software firm building generative-AI and agentic back-office automation for document processing, quotation, customer service and HR workflows, including on-premise open-model deployments.

NOVOS
#105London, United Kingdom
NOVOS is an employee-owned London e-commerce growth agency running search, digital PR and an AI-search practice aimed at getting retail brands cited in generated answers.

QED Software
#106Warsaw, Poland
QED Software is a Warsaw AI consultancy building language-model and machine-learning systems, including explainable AI tooling, for commercial clients.
Pixelette Technologies
#107London, United Kingdom
Pixelette Technologies is a London technology firm founded in 2018, building computer-vision and data-automation systems alongside its wider engineering practice.

Softblues
#108London, United Kingdom
Softblues is a London AI implementation firm founded in 2014, building multi-agent pipelines, retrieval-augmented support agents, and voice agents for mid-market companies. It is a registered Anthropic Partner Network member.

VisualLabs
#109Budapest, Hungary
VisualLabs is a Budapest Microsoft partner building data platforms, agentic AI and field-operations automation on the Dynamics and Azure stack for industrial and distribution businesses.

Found
#110London, United Kingdom
Found is a London performance-marketing agency with a data and AI practice covering AI-search visibility, data science and marketing automation, built on its own Luminr and Everysearch tooling.

Sparkbit
#111Warsaw, Poland
Warsaw software house delivering machine-learning systems and R&D prototypes, with a research-heavy team drawn from Polish scientific universities. Works computer vision, time-series and retrieval problems alongside backend architecture.

Brights
#112Warsaw, Poland
Brights is a technology firm with a Warsaw base building AI consulting, custom software and machine-learning solutions for enterprise clients.

Old St Labs
#113London, United Kingdom
Old St Labs is a London product studio founded in 2020, building web and mobile applications with an AI software development line. It works largely with early-stage and scaling companies.

Boldare
#114Amsterdam, Netherlands
Boldare is a digital product company with an Amsterdam office, building AI assistants, chatbots and predictive systems into software it develops for scale-ups and enterprises, with its head office in Poland.

Opinov8
#115London, United Kingdom
Opinov8 is a London-headquartered engineering firm founded in 2017, running an AI consulting and data practice and its own agent deployment platform alongside cloud and modernization services.
Sociaty
#116Lyon, France
Sociaty is a Lyon AI consulting and training agency building assistants, conversational agents and workflow automation for small and mid-sized companies.
CZ Multimedia
#117Lyon, France
CZ Multimedia is a web and AI agency in the Lyon area building chatbots, retrieval assistants, document vision and machine-learning integrations for small businesses.

Sngular
#118Madrid, Spain
Sngular is a Madrid-headquartered digital engineering group building AI, data-platform and MLOps solutions for finance, retail, telecom and public-sector clients.
Data Reply
#119Munich, Germany
Data Reply is the big-data and AI engineering practice of the Reply group, working from Munich on data platforms, machine learning and generative AI for enterprise clients.

peoly
#120Prague, Czech Republic
peoly is a Prague AI development firm building computer vision, edge inference and machine-learning systems for manufacturing, retail and platform clients, with offices in Ceske Budejovice and San Francisco.

eMentalist
#121Vienna, Austria
eMentalist is a Vienna AI and data-science consultancy working on predictive analytics, data strategy and process automation for energy, public-sector and retail clients, with offices in Munich and Frankfurt.

Damavis
#122Madrid, Spain
Damavis is a big-data and machine-learning studio with Madrid and Palma offices building data lakes, models and real-time pipelines for data-driven companies.

Inspari
#123Copenhagen, Denmark
Inspari is a Danish Microsoft data and AI consultancy in greater Copenhagen, delivering data strategy, analytics and AI for enterprise clients.

Digital Dominance
#124Stockholm, Sweden
Digital Dominance is a Stockholm and Malmo digital marketing agency running a generative engine optimization practice alongside search, content and digital PR, with published tracking of citation share across AI assistants.

Kruso
#125Copenhagen, Denmark
Kruso is a Copenhagen digital consultancy repositioned around AI, building chatbots, generative AI features and digital platforms for brands and public bodies.

Contiamo
#126Berlin, Germany
Contiamo is a Berlin data and AI consultancy building data infrastructure, machine learning and generative-AI tooling for enterprise clients across Europe.

b.telligent
#127Munich, Germany
b.telligent is a Munich-headquartered data and AI consultancy working on data platforms, machine learning and analytics for enterprises across the German-speaking region, with nine offices.

Syncronika
#128Milan, Italy
Syncronika is a Milan digital consultancy and system integrator building agentic architectures with retrieval, multi-agent orchestration, evaluation and guardrails, wired into existing ERP and CRM systems.

Redkiwi
#129Rotterdam, Netherlands
Redkiwi is an independent Rotterdam digital and AI agency building automation, generative-AI tooling and AI-driven marketing for e-commerce and B2B brands.
Molo Agency
#130London, United Kingdom
Molo Agency is an AI automation shop on the northern edge of London building agents and workflow automation into the systems small and mid-sized businesses already run.

Halfspace
#131Copenhagen, Denmark
Halfspace is a Copenhagen AI and advanced-analytics company building custom machine learning and generative AI for large Nordic organizations.

McLeuker
#132Paris, France
McLeuker is a Paris agentic AI and fashion-tech consultancy that ships engagements onto its own multi-agent platform or builds an equivalent stack inside the client's infrastructure.

allUpp
#133Vienna, Austria
allUpp is a Vienna Salesforce consultancy with a Frankfurt office, implementing CRM platforms and Agentforce AI agents for industrial and mobility clients. It is a recognized Agentforce Implementation Expert.

Data Technology
#134Vienna, Austria
Data Technology is a Vienna data-science and AI consultancy building custom analytics, machine-learning and software solutions for finance, retail and media clients.
ClickSlice
#135London, United Kingdom
ClickSlice is a London search agency running an answer-engine and generative-engine optimization practice alongside conventional SEO for small and mid-sized retailers.
RedOrbit
#136Munich, Germany
RedOrbit is a Munich-area AI agency building retrieval chatbots, document assistants and agent workflows for commerce, accounting and media clients.
We Will
#137Milan, Italy
We Will is a Milan AI automation firm building document reconciliation, order matching and compliance monitoring systems for distributors, e-commerce operators and medical-device suppliers.
Data Analytics
#138Rotterdam, Netherlands
Data Analytics is a data consultancy in the Rotterdam metro building data collection, visualization and analytics solutions for small and mid-sized companies.

agency28
#139Vienna, Austria
agency28 is a Vienna AI automation agency building self-hosted workflow automation and AI-agent systems for small and mid-sized B2B clients.
Expert Insight
Why Hire an E-commerce AI Specialist?
Measurement discipline—E-commerce AI can and should be A/B tested against revenue. Specialists propose baselines, holdouts, and target metrics before writing code; be suspicious of anyone who wants credit for a lift they didn't isolate from seasonality and campaigns
Platform constraint fluency—A recommendation engine that can't be served within Shopify, commercetools, or your legacy stack's latency and API limits is a research project. Specialists design for the platform you run, not the one their demo runs on
Catalog-data pragmatism—Attribute gaps, inconsistent taxonomies, and thin product descriptions are the default, and they cap what personalization and search can do. Specialists budget the data-cleanup phase honestly and often automate it with generative models as part of the build
Seasonality and drift—Recommendation and forecasting models decay as catalogs, seasons, and campaigns change. Specialists set up monitoring and a retraining cadence at launch, because a model tuned on winter traffic quietly loses money by summer
Where E-commerce AI agencies are based
139 e-commerce ai agencies across 34 European cities. Distribution by hub:
Most common services offered by E-commerce AI agencies in Europe
These 139 E-commerce AI agencies across Europe most commonly offer:
- AI Development110 of 139 — Satalia, Datatonic, DataSentics, Artefact, +106 more
- AI Consulting105 of 139 — Satalia, Datatonic, DataSentics, Artefact, +101 more
- AI Automation64 of 139 — Artefact, Upside Lab, DATAFOREST, Lazy Ants, +60 more
- AI Agents48 of 139 — Satalia, Artefact, Converteo, Datasparq, +44 more
- Generative AI45 of 139 — Datatonic, DataSentics, Rewire, Square Root Solutions, +41 more
- AI SEO17 of 139 — Dear Future, Alice Labs, Klingit, Push Group, +13 more
Frequently asked questions — E-commerce in Europe
- How much do E-commerce AI agencies in Europe charge?
- Of the 139 E-commerce AI agencies on this page, 67 publish complete hourly rate ranges. They range from €20 to €175, with a median around €65. Across the register, rated agencies in Europe bill €65–110/hr (145 rated). 62 agencies operate under €100/hr: Square Root Solutions, Upside Lab, Imobisoft, DATAFOREST.
- Which are the top-rated E-commerce AI agencies in Europe?
- Based on our editorial scoring (portfolio quality, business credibility, and case study depth), the top-ranked E-commerce AI agencies in Europe are Satalia, Datatonic, DataSentics. See the full review on each agency's profile.
- Which European cities have the most e-commerce ai agencies?
- London leads with 18 e-commerce ai agencies (13% of the European total), followed by Lyon (9) and Madrid (8). Top firms in London include Satalia, Datatonic, Imobisoft.
- How recent are these E-commerce AI agency reviews?
- 99 of the 139 agencies on this page have been editorially reviewed between Aug 4, 2026 and Sep 16, 2026 — the most recent being Nathean Analytics. See our review methodology for how scores are calculated.
- What's the smallest team size available for e-commerce in Europe?
- Alice Labs, HolistiCRM, 010 Coding Collective are the boutique studios (under 10 people) on this page, ideal for projects needing senior-level attention without large-team overhead.
Hiring Guide
What to Know Before Hiring a E-commerce AI Agency
E-commerce is the easiest vertical to buy AI in and the easiest to overpay in, for the same reason: everything is measurable. Personalization, search, recommendations, support automation, and catalog content all land in numbers you already track—conversion, average order value, contact rate, time to publish. That gives you a discipline most buyers lack: refuse any proposal without a baseline and a target metric, and insist the pilot is measured against a holdout. An agency that resists an A/B test is telling you what it expects the test to show.
The platform question comes before the model question. A recommendation engine that can't be served inside your Shopify, commercetools, or legacy-stack constraints is a research project, not a product. Ask candidates what platforms their deployed work runs on and what the integration actually required—feed quality, event tracking, catalog data cleanliness. Catalog data is the usual hidden cost: attribute gaps and inconsistent taxonomies quietly consume the first month of most engagements.
Costs scale with ambition. Support-automation and product-content pilots start around €15,000–€40,000; a production personalization or search build runs €40,000–€120,000 over 3–6 months. Anchor the hourly component on the European range on our rate index; a €2,500–8,000/mo retainer for model monitoring and iteration is common after launch—and usually worth it, because recommendation quality decays as the catalog and season change.
Watch for one specific trap: agencies reselling a SaaS personalization tool with a services markup. That can be the right answer, but you should know you're buying configuration, not engineering—and the pricing should reflect it.
Support-automation and product-content pilots run €15,000–€40,000; production personalization or search builds run €40,000–€120,000, with the hourly component anchored on the European range on our rate index. The ROI question is the one this vertical can actually answer: insist every proposal names a metric—conversion rate, average order value, support contact rate, time to publish—with a measured baseline and an A/B-tested target. For a store doing €5M/year, a measured 5% conversion lift funds most projects several times over; the discipline is refusing to pay for lifts nobody isolated from seasonality and campaigns.
For most stores the fastest payback is support automation and catalog-content generation, because both attack measurable cost lines—contact volume and time-to-publish—without touching the conversion-critical path. Personalization and search deliver larger absolute gains but need clean event tracking, decent catalog data, and traffic volume to test against; below roughly 100,000 sessions a month, A/B tests take too long to read. The honest sequencing: fix catalog data and tracking first, automate content and support second, personalize third. An agency that proposes personalization before auditing your data quality has the order backwards.
Yes, generative models handle product descriptions at catalog scale well—and search engines' published position is that they rank content by quality and usefulness, not by whether a human typed it. The risk isn't AI authorship; it's publishing thousands of templated, unedited pages that read as spam and get treated accordingly. The working pattern: generation grounded in real product attributes, brand-voice guidelines in the pipeline, human review on top sellers, and spot checks elsewhere. Done this way, teams cut description time from hours to minutes per product while holding quality.
Usually yes, but the platform decides the architecture, so it must be the first conversation, not the last. Shopify constrains where and how recommendations can be served; headless stacks like commercetools offer more freedom and more integration work; legacy platforms often need an event-tracking layer built first. Ask candidate agencies which platforms their deployed work runs on and what the integration actually required. An agency that quotes personalization without asking about your event tracking and catalog feed quality is quoting from a template, and the surprise costs will surface in month two.
Support automation and content generation show measurable results in 6–12 weeks; personalization and search need 3–6 months, because model tuning plus A/B testing at statistical significance takes calendar time regardless of engineering speed. Plan around your retail calendar—launching a recommendation test in mid-November means reading Black Friday noise instead of signal. The realistic arc: integration and data cleanup in the first month, shadow or partial rollout in the second, then measured iteration. Post-launch, a monitoring retainer matters more here than in most verticals because catalog and season shifts decay model quality continuously.
Buy a tool when a mainstream platform covers your case—mid-size Shopify stores rarely need custom recommendation engines—and use an agency for what tools don't cover: unusual catalogs, multi-language European storefronts, custom stacks, or unifying data across support, search, and merchandising. Watch for the blurred middle: agencies reselling a SaaS tool with a services markup. That can be legitimate, but you should know whether you're paying for engineering or configuration, and the price should differ accordingly. Ask directly what's built versus licensed, and who owns the models and data when the contract ends.
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