E-commerce × Project-Based Work
Best E-commerce AI Agencies for Project-Based Work (September 2026)
E-commerce AI agencies with verified project-based client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents project-based engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked agencies for project-based clients
Rankings updated · Newest review
Top 30 of 41 agencies with documented project-based 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.
ontolux
#2Berlin, 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.
London, United Kingdom
Client evidence: 13 documented clients overall
Best for: Founders commissioning a first blockchain or AI product build on a startup budget who will check references before signing.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#4Helsinki, 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.
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.
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
#7London, 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.
Rotterdam, Netherlands
Client evidence: 8 documented clients overall
Best for: Mid-sized Dutch companies that want ERP, CRM and finance data in one managed Power BI environment before any AI build.
Warsaw, Poland
Client evidence: 7 documented clients overall
Best for: Data-rich firms and startups with a detection, vision or forecasting problem suited to a research-led team.
Satalia
#10London, 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
#11London, 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.
MS iHub
#12Ljubljana, 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.
Sparkbit
#13Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Early-stage product companies that need the ML core of their product built, tested and handed over with the IP.
Indigo Labs
#14Ljubljana, 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.
Softblues
#15London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.
Brights
#16Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Product companies adding an AI assistant or agent feature to a web or mobile platform built with an outsourced team.
Alpdev
#17Ljubljana, 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.
Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Small manufacturers, contractors and agencies automating invoice, document and CRM workflows on a Make.com or Zapier stack.
Imobisoft
#19London, 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
#20Milan, 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.
Contiamo
#21Berlin, Germany
Client evidence: 4 documented clients overall
Best for: German municipal utilities, housing companies and consumer brands adding GPT-based assistants to customer service and content work.
Kruso
#22Copenhagen, 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
#23London, 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.
peoly
#24Prague, Czech Republic
Client evidence: 4 documented clients overall
Best for: Manufacturers and platform teams buying camera-side vision, or an ML team embedded alongside engineers they already have.
Brainpool
#25London, 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.
Inspari
#26Copenhagen, Denmark
Client evidence: 3 documented clients overall
Best for: Nordic enterprises already running a Microsoft or Snowflake data platform that want AI built on top of it, not a standalone pilot.
Sngular
#27Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Enterprises staffing a multi-year engineering program in infrastructure, banking or back-office automation with a single partner.
Softspring
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#28Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Founder-led products that need one AI feature built properly, with the data boundary and the human checkpoint decided up front.
Boldare
#29Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Consumer-facing businesses adding an OpenAI-backed chatbot or generated content to a web platform Boldare builds or runs.
Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies putting a governed data platform under an AI program, with named references they can check first.
About this list
The e-commerce projects documented here are mostly catalog and logistics work, and the useful ones say what happens when the catalog changes. Sparkbit's pipeline for Italist de-duplicates SKUs at ingest time with text and image embeddings, then enriches content with guardrailed GPT-4 behind a human review queue, with no outcome figure published. MS iHub's generator wrote more than 15,000 product descriptions for the woodworking-tools store TehnoLES with seasonal updates and multilingual support, reported at 25% more product clicks and 20% more sales, though the curator notes the figures differ between pages. Datasparq's recommendation engine for RS Group's DesignSpark community streams GA4 into BigQuery and serves 1.3 million members from Cloud Run at sub-second latency. Satalia's last-mile engine built for Tesco in 2015 is described as still scheduling 100,000 deliveries a day. Found's Secret Sales work sits on the marketing side: a deep neural network predicting each product's 30-day sales value, rolled out through tiered Shopping bids and credited with 28% higher ROAS than the account's other Shopping campaigns.
For a retailer buying a fixed-scope build, the sorting question is what keeps working after the agency leaves and the assortment turns over. An ingest-time pipeline or a seasonal update process is a deliverable; a one-off batch of descriptions is not, so ask who re-runs the system on new SKUs and where the models and prompts live. Ask for the result date too, since the curator notes Satalia's strongest numbers are nine and ten years old. Read the E-commerce tag against the evidence: Data Analytics documents reporting over POS, e-commerce and inventory data with no model in production, and b.telligent's OTTO engagement is a marketing-platform migration to Google Cloud rather than an AI build.
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 project-based client evidence with documented E-commerce work. The current top-ranked are Square Root Solutions, ontolux, Pixelette Technologies — 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 €20–400 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.
Every agency here documents project-based work on its own site or in a published case study, describing the engagement structure rather than a service-list claim. We never infer the model from portfolio tone, so this list only contains agencies that operate project-based engagements deliberately.
8 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.