E-commerce × Enterprises
Best E-commerce AI Agencies for Enterprises (September 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 130 client engagements.
Ranked agencies for enterprise clients
Rankings updated · Newest review
Modulai
#1Stockholm, 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.
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.
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.
Poznań, 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.
Budapest, 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
#6London, 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.
London, 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.
Stockholm, Sweden
Client evidence: 6 documented clients overall
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.
Frankfurt, Germany
Client evidence: 6 documented clients overall
Best for: German wholesalers, manufacturers and online retailers modernizing ordering, ERP and shop systems.
DataSentics
#10Prague, 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
#11Paris, 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.
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
#13Prague, 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
#14Lisbon, 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
#15Paris, 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
#16Copenhagen, 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.
Ekimetrics
#17London, 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
#18Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.
AVISIA
#19Lyon, France
Client evidence: 3 documented clients overall
Best for: Large French consumer businesses industrializing scoring or support automation that already runs past the pilot stage.
Datarmony
#20Barcelona, Spain
Client evidence: 3 documented clients overall
Best for: Retail and travel brands fixing attribution, forecasting and data quality before they buy anything LLM-shaped.
Zurich, Switzerland
Client evidence: 3 documented clients overall
Best for: Banks and payment providers adding AI to platforms an established engineering partner already operates for them.
wukonig.com
#22Graz, Austria
Client evidence: 3 documented clients overall
Best for: B2B and industrial firms that want to be named in AI answers and will fund a measured, ongoing program.
WITH Madrid
#23Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Consumer and luxury brands that want a conversion or asset-delivery problem solved and measured, not a model built.
Amsterdam, Netherlands
Client evidence: 2 documented clients overall
Best for: Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.
Jakala
#25Milan, Italy
Client evidence: 2 documented clients overall
Best for: Large retail and hospitality brands buying a marketing and data program at group scale rather than a single system.
Lisbon, Portugal
Client evidence: 2 documented clients overall
Best for: Large consumer brands and banks that want a costed sequence for their data program before they commission any model.
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 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
26 agencies in our directory combine verified enterprise client evidence with documented E-commerce work. The current top-ranked are Modulai, Wolfgang Digital, Datatonic — 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 €20–130 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.