E-commerce × B2B Companies
Best E-commerce AI Agencies for B2B Companies (September 2026)
E-commerce AI agencies with verified B2B client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented B2B clients. Combined, the agencies below document 178 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 41 agencies with documented B2B work.
Dublin, Ireland
Client evidence: 20 documented clients overall
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.
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.
Tallinn, Estonia
Client evidence: 10 documented clients overall
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.
Tallinn, Estonia
Client evidence: 9 documented clients overall
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.
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.
Satalia
#7London, 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
#11Prague, 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
#12Paris, 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.
Upside Lab
#13Kraków, Poland
Client evidence: 5 documented clients overall
Best for: Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.
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
#15Prague, 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.
Indigo Labs
#16Ljubljana, Slovenia
Client evidence: 5 documented clients overall
Best for: Product teams that want a scoped AI build with the duration, team size and budget stated before the contract.
STX Next
#17Poznań, Poland
Client evidence: 5 documented clients overall
Best for: Python-heavy teams that need senior engineers now, with AI built into how the work is delivered and reviewed.
Alpdev
#18Ljubljana, Slovenia
Client evidence: 5 documented clients overall
Best for: Mid-market sales and support teams that want an AI system wired into the CRM, telephony or ERP they already run.
Rotterdam, Netherlands
Client evidence: 5 documented clients overall
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.
BySix
#20Lisbon, 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.
Imobisoft
#21London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Health and industrial companies taking a risk-scoring or compliance-reporting workflow from paper to a regulated digital platform.
xtream
#22Milan, Italy
Client evidence: 4 documented clients overall
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.
Cluj-Napoca, Romania
Client evidence: 4 documented clients overall
Best for: Companies shipping a mobile or web product, including AI products that need everything around the model built properly.
Ekimetrics
#24London, 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.
Qemie
#25Frankfurt, Germany
Client evidence: 4 documented clients overall
Best for: Small B2B teams replacing spreadsheet-and-CRM sales admin with automated pipelines their own staff can run.
Wise Monks
#26Vilnius, Lithuania
Client evidence: 4 documented clients overall
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
#27Cluj-Napoca, Romania
Client evidence: 4 documented clients overall
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.
Rewire
#28Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.
Brainpool
#29London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Operators with a measurable production bottleneck AI can remove—from timber design queues to e-commerce pipelines.
Linnify
#30Cluj-Napoca, Romania
Client evidence: 3 documented clients overall
Best for: Founders and product owners who want an AI product validated and shaped before it is built, not just engineered to a spec.
About this list
Commerce B2B work—systems for retailers and the businesses serving them—is where AI meets numbers the client already watches daily, and the agencies here document work against those numbers. Modulai's recommendations serve Lindex's millions of customers. WeAreBrain's HEINEKEN receipt validation processed 30,000-plus receipts across three campaigns at around 80% automatic recognition. Amsterdam Data Collective attacks markdown optimization directly, Artefact and Rewire bring retail programs with published figures, AI Pirates ran the AI roadmap for Fuxtec's e-commerce operation, and Brainpool, Algorithma and Ortom cover adjacent ground.
The baseline question does the sorting here: commerce AI is sold on uplift percentages, so ask what every number was measured against, over what period, and what happened in peak trading. Then ask about the data layer—recommendation and pricing systems are only as good as the product and transaction data underneath, and several agencies on this page build that layer as part of the engagement. The ones that do tend to be the ones whose case studies survive the baseline question.
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
41 agencies in our directory combine verified B2B client evidence with documented E-commerce work. The current top-ranked are Square Root Solutions, Modulai, Dashbouquet — 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 €20–175 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 B2B 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.
2 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.