E-commerce × Enterprises
Best E-commerce AI Agencies for Enterprises (November 2026)
E-commerce AI agencies with verified enterprise client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented enterprise clients. Combined, the agencies below document 204 client engagements.
Ranked agencies for enterprise clients
Rankings updated · Newest review
Top 30 of 43 agencies with documented enterprise work.
ontolux
#1Berlin, Germany
Client evidence: 13 documented clients overall
Best for: German public bodies, broadcasters and publishers that need tagging and search over large German-language text collections.
Modulai
#2Stockholm, Sweden
Client evidence: 12 documented clients overall
Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#3Helsinki, Finland
Client evidence: 11 documented clients overall
Best for: Nordic marketing and sales teams that want AI tools built into HubSpot, Teams or Microsoft 365 and their own staff trained to run them.
Madrid, Spain
Client evidence: 11 documented clients overall
Best for: Consumer-facing brands and large operators in Spain evolving a digital product over years, with AI added into an existing workflow.
Dublin, Ireland
Client evidence: 10 documented clients overall
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.
Munich, Germany
Client evidence: 9 documented clients overall
Best for: Enterprises adding an AI layer onto a data platform their own team will run afterward, in manufacturing, insurance or media.
Redkiwi
#7Rotterdam, Netherlands
Client evidence: 9 documented clients overall
Best for: Dutch consumer brands and B2B suppliers buying a website, webshop or campaign where generative AI speeds up content production.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.
Found
#9London, United Kingdom
Client evidence: 8 documented clients overall
Best for: UK consumer brands in retail, insurance and hospitality that want AI applied inside paid search, SEO and campaign data.
Merixstudio
#10Poznań, Poland
Client evidence: 8 documented clients overall
Best for: Product owners modernizing a platform who want AI inside the delivery process and in selected features, not a model built from scratch.
InData Labs
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#11Vilnius, Lithuania
Client evidence: 7 documented clients overall
Best for: Product teams with a defined forecasting, fraud or analytics problem who want an established ML team on fixed-price or dedicated terms.
HolistiCRM
#12Budapest, Hungary
Client evidence: 7 documented clients overall
Best for: Banks, retailers and utilities that want a propensity or next-best-offer model on their own data, scored on a business rate.
Satalia
#13London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.
Datasparq
#14London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Operational businesses with data already flowing that want a system built on it rather than a strategy deck.
Algorithma
#15Stockholm, Sweden
Client evidence: 6 documented clients overall
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.
FFFACE.me
#16Paris, France
Client evidence: 6 documented clients overall
Best for: Beauty and fashion brands planning a store, pop-up or event activation built around AI try-on or skin analysis.
Frankfurt, Germany
Client evidence: 6 documented clients overall
Best for: German wholesalers, manufacturers and online retailers modernizing ordering, ERP and shop systems.
MS iHub
#18Ljubljana, Slovenia
Client evidence: 6 documented clients overall
Best for: Manufacturers and online retailers commissioning a first scoped AI feature or MVP from a small Ljubljana team.
Opinov8
#19London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Teams adding cloud, data or modernization engineers who want AI coding tools applied to that delivery.
DataSentics
#20Prague, Czech Republic
Client evidence: 5 documented clients overall
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
#21Paris, France
Client evidence: 5 documented clients overall
Best for: Large consumer and industrial groups that want AI agents adopted across a workforce, not piloted in one team.
Halfspace
#22Copenhagen, Denmark
Client evidence: 5 documented clients overall
Best for: Nordic enterprises with an operating problem—capacity, pricing, safety—where a few percent of throughput is worth millions a year.
Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Retail and manufacturing teams that want pricing, forecasting and assortment calls made by a model their analysts can run.
Geneea
#24Prague, Czech Republic
Client evidence: 5 documented clients overall
Best for: Media, banking and e-commerce platforms running high-volume, multi-market NLP on live customer content, not one-off pilots.
BySix
#25Lisbon, Portugal
Client evidence: 5 documented clients overall
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.
Converteo
#26Paris, France
Client evidence: 4 documented clients overall
Best for: Retail and consumer brands putting a customer-facing agent into production, with the evaluation and rollback to match.
Dear Future
#27Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Consumer brands with first-party data already in the stack that want it turned into predictions the marketing team will actually use.
Kruso
#28Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Consumer brands and public bodies adding AI search or an assistant to a commerce or content platform the same firm builds and operates.
Ekimetrics
#29London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Consumer and industrial brands that need marketing spend measured and modeled rather than an AI system built.
Rewire
#30Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.
About this list
Enterprise commerce is where AI meets numbers the business already tracks—conversion, return rate, margin—which makes the documented work on this page unusually checkable. Artefact's retail practice includes Carrefour among its named enterprise engagements. Modulai's recommendation system serves Lindex's millions of retail customers. Amsterdam Data Collective's markdown-optimization work attacks the discounting decision directly, Converteo works the demand and pricing side for large French retail and consumer groups, and Rewire and Algorithma work the same seam. Three later arrivals sit on the catalog side of commerce: DataSentics matches products across tens of millions of Heureka offers a day, Geneea summarizes the reviews underneath them, and BySix automates the listing pipeline that puts a supplier's spec sheets into a storefront. The page also holds consumer-marketing firms whose AI evidence is campaign-scale: FFFACE's in-store try-on and skin-analysis activations for beauty and fashion brands run for the length of a campaign rather than as a system the client operates, and Redkiwi's published AI work is content production inside web and marketing engagements. The evidence lines on each card show how much documented enterprise work sits behind the chip.
Two screens separate these firms fast. First, the baseline: commerce AI is sold on percentage uplifts more than any other category, so ask what the number was measured against and over what period. Second, the season: enterprise retail systems earn their keep in peak trading, so ask what the system did during the candidate's highest-volume week. Case studies that answer both exist on this page; capability decks that answer neither are what this register exists to filter out.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why E-commerce experience matters
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
Frequently asked questions
43 agencies in our directory combine verified enterprise client evidence with documented E-commerce work. The current top-ranked are ontolux, Modulai, OstraconAI — ordered by depth of documented client evidence, then our editorial scoring (portfolio quality, credibility, completeness); placement is never paid.
Published rates across this page's agencies run €20–300 per hour (median ~€65). Project totals depend on scope — the rate index at /rates breaks the computed bands down by region, country and team size.
Each listed agency has at least two documented, named enterprise clients — published case studies or engagement descriptions our research actually read, with source URLs stored per client. Logo walls without published evidence carry no weight, which is what separates this list from self-declared directories.
5 of the agencies on this page document an embedded / team-extension working model. See the team-extension page for the full verified list, or check the engagement chips on individual profiles.