E-commerce + Ljubljana
Best E-commerce AI Agencies in Ljubljana (August 2026)
3 E-commerce-specialized AI agencies based in Ljubljana. Top-ranked: MS iHub, Alpdev, Indigo Labs.
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.
Market snapshot
Pricing for E-commerce AI agencies in Ljubljana
Across all 3 e-commerce ai agencies on this page, hourly rates span €45–€85, with a median around €65/hr. The European E-commerce average is €80-150/hr.
| Tier | Hourly rate | Agencies |
|---|---|---|
| Budget | €50–99/hr | 3 — MS iHub, Alpdev, Indigo Labs |
Team capacity in Ljubljana
All 3 agencies on this page disclose team size. The distribution breaks down as:
- Boutique (<10)2 agencies — MS iHub, Alpdev
- Small/mid (10-49)1 agency — Indigo Labs
Rankings updated
MS iHub
#27Ljubljana, 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.
Alpdev
#53Ljubljana, Slovenia
Ljubljana AI and software studio and an OpenAI Select Partner, building sales-intelligence systems, real-time assistants wired into CRM and telephony, and IoT analytics for mid-market clients.
Indigo Labs
#81Ljubljana, Slovenia
Indigo Labs is a Ljubljana software firm building applied AI for industrial and product companies: speech-to-text components, conversational and outbound voice agents, and machine-vision systems.
Other industries served by Ljubljana E-commerce agencies
Beyond E-commerce, these 3 agencies also publish experience in:
| Industry | Agencies with stated experience |
|---|---|
| Manufacturing | 3 of 3 — MS iHub, Alpdev, Indigo Labs |
| SaaS & B2B | 3 of 3 — MS iHub, Alpdev, Indigo Labs |
Most common services offered by Ljubljana E-commerce agencies
These 3 E-commerce agencies most commonly offer:
- AI Automation3 of 3 — MS iHub, Alpdev, Indigo Labs
- AI Development3 of 3 — MS iHub, Alpdev, Indigo Labs
- AI Agents2 of 3 — Alpdev, Indigo Labs
- AI Consulting1 of 3 — MS iHub
Frequently asked questions — E-commerce in Ljubljana
- How much do E-commerce AI agencies in Ljubljana charge?
- Across all 3 E-commerce AI agencies on this page, hourly rates range from €45 to €85, with a median around €65. The European E-commerce average is €80-150/hr. 3 agencies operate under €100/hr: MS iHub, Alpdev, Indigo Labs.
- Which are the top-rated E-commerce AI agencies in Ljubljana?
- Based on our editorial scoring (portfolio quality, business credibility, and case study depth), the top-ranked E-commerce AI agencies in Ljubljana are MS iHub, Alpdev, Indigo Labs. See the full review on each agency's profile.
- What other industries do Ljubljana E-commerce agencies serve?
- Beyond E-commerce, the most common cross-industry experience among these agencies is Manufacturing (3 of 3 agencies). Notable examples include MS iHub, Alpdev, Indigo Labs.
Local Insight
E-commerce AI Agencies in Ljubljana
Commerce AI in Ljubljana is bought as assistants and content rather than as storefront work. Alpdev has the most directly relevant published record: a sales assistant built to convert visitors leaving without a purchase, a product recommender integrated with a client's ERP, and sales-intelligence automation built on years of accumulated interaction data. MS iHub publishes AI-generated product content reporting a 37% improvement in click-through and 80% less preparation time. Indigo Labs contributes the voice and vision layer, which is where conversational commerce and catalogue imagery work sits.
Commerce AI is sold on percentage uplift more than any other category, and the baseline is usually the part left unstated. Ask what each published figure was measured against, over what window, and whether that window covered peak trading — a recommender that degrades in the highest-volume week fails exactly when it is worth most. Then ask about the catalogue underneath, because product-data quality caps what any commerce model can do and no amount of modeling compensates for inconsistent attributes. The firms here whose strength is data engineering will raise that before you do, which is itself a useful filter.
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