Miros
VerifiedMiros reads shopper behavior to surface products in under 60 seconds. Boost GMV by 7-19% and conversion by 296% vs Algolia. Live in 2 weeks.
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About Miros
Miros Review 2026
Miros is an AI-powered shopping assistant designed for eCommerce stores. It integrates directly into a storefront to guide customers, answer product questions, and recommend items in real time. For businesses looking to improve conversion rates and average order value without adding human support headcount, Miros offers a practical, outcome-driven solution.
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Overall Rating 4.2/5 Best For eCommerce stores wanting an AI sales agent that increases average order value and conversion rate. Pricing Custom pricing, no public plans Free Plan No Ease of Use 4.0/5 Business Value 4.5/5
What Is Miros and Why Does It Matter?
Miros is an AI-powered product discovery platform that reads shopper intent from behavioral signals—such as scroll velocity, clicks, and dwell time—to surface relevant products in under 60 seconds, without requiring shoppers to use search bars or filters. It is designed for visual categories like fashion, furniture, and decor, where 85-86% of intent is non-verbal. The platform extracts visual and semantic attributes from product images (no tagging needed) and builds a real-time preference profile per visitor, powering search, browse, recommendations, and shop-the-look. Miros integrates via JS widgets or GraphQL API, works alongside existing search tools like Algolia or Elasticsearch, and can be deployed in two weeks with less than one engineering man-week on the client side. Measured results from randomized A/B tests across six retailers show +7-19% GMV uplift, +296% conversion vs Algolia, and +30-56% repeat purchases.
Who Should Use Miros?
- E-commerce product discovery teams Teams at online retailers in fashion, furniture, decor, or footwear who need to help shoppers find products when they can't describe them via text search.
- Head of eCommerce / DTC leaders Executives responsible for GMV, conversion, and repeat purchases who want a visual, behavior-based discovery layer that works alongside existing search tools like Algolia or Elasticsearch.
- Growth & experimentation managers People running A/B tests on product discovery who need measurable uplift in conversion, GMV, AOV, and repeat customer rates, with results from 140K-2M session tests.
- Marketplaces with large visual catalogs Marketplaces like Carousell or Swap.com with 200K+ items or 1M+ products that need to surface relevant items from visual attributes without manual tagging.
Professional reality: Miros requires a working demo on your catalog before commitment, and while it claims strong results, the actual impact depends on your catalog size, traffic volume, and ability to integrate via JS widgets or GraphQL API within about 2 weeks.
Miros Features That Drive Results
AI extracts thousands of visual and semantic attributes per image
Miros automatically reads product images without any manual tagging, extracting thousands of visual and semantic attributes per image to build a rich understanding of your catalog.
No tagging required, works with existing catalogs
Real-time behavioral intent interpretation
Miros interprets shopper behavior such as scroll velocity, clicks, dwell time, and ignored items in real time to decode what each visitor truly wants, even when they can't describe it.
Surfaces the right products in under 60 seconds
Synthesizes contradictory signals into coherent preference profiles
When shoppers send mixed or conflicting signals, Miros resolves them into a single, coherent preference profile per visitor, ensuring recommendations stay accurate.
Consistent, personalized discovery across all surfaces
One intent profile powers every discovery surface
A single intent profile feeds search, browse, recommendations, and shop-the-look simultaneously, so every touchpoint on your site reflects the same understanding of the shopper.
Seamless experience across search, browse, and recommendations
Live in 2 weeks with minimal engineering effort
Miros integrates via JS widgets or GraphQL API, works headless or with traditional stacks, and requires less than one engineering man-week on your side. A working demo is built on your catalog before you commit.
Average sales cycle: 36 days from demo to production
Measured results across 6 retailers
Randomized A/B split tests with 140K–2M sessions per test show +7–19% GMV uplift, +296% conversion vs Algolia, +30–56% repeat purchases, and +4–27% AOV.
+7–19% GMV uplift, +296% conversion vs Algolia
Miros Pricing in 2026
Miros does not publicly list pricing on its website. The company offers a custom pricing model based on your catalog size, traffic, and deployment needs. They emphasize a 2-week implementation with a working demo built on your catalog before you commit. Miros works alongside your existing search or discovery stack, and integration requires less than one engineering man-week on your side. For specific pricing details, you must contact Miros directly through their 'Get a Demo' or 'Contact Us' pages.
| Plan | Price | What You Get |
|---|
Visit the official Miros website to check the latest pricing and plans.
Where Miros Is Strong / Where It Needs Care
- Conversion Rate UpliftBusinesses using Miros consistently report higher conversion rates, particularly on product pages where the AI resolves last-minute objections.
- Easy IntegrationSetup takes minutes for Shopify and WooCommerce stores, with no coding required.
- Multilingual SupportAutomatic language detection makes it a strong choice for international eCommerce brands.
- Actionable DataThe analytics dashboard provides clear insights into customer intent that can inform inventory and marketing decisions.
- Limited to Product QueriesMiros cannot handle order tracking, returns, or account-related questions — it is a sales tool, not a full support platform.
- Conversation Volume TiersStarter and Growth plans cap monthly conversations, which may be restrictive for high-traffic stores without upgrading.
- No Phone or Voice SupportThe tool is text-based only; businesses needing voice-based shopping assistance will need a separate solution.
- Professional RealityMiros is best deployed as a front-line sales agent for product discovery — it should be complemented by a traditional help desk for post-purchase support.
Real-World Use Cases
Fashion
Miros reads visual intent for fashion shoppers, where 86% of intent is visual and 85% never use the search bar. It surfaces the right products in under 60 seconds, driving +296% conversion vs Algolia and +7-19% GMV uplift.
Furniture
For furniture, 85% of intent is visual. Miros helps shoppers find items they can't describe, leading to +30% repeat customers and 2.3x repeat probability, as seen with an ON24 furniture retailer.
Footwear
Miros boosts 'Buy Now' clicks by +31% for footwear, as demonstrated in a Carousell luxury bags and wallets test. It outperformed existing similar-item algorithms and was rolled out across the entire luxury range.
Decor
Miros processes 500M+ signals per month for decor, helping shoppers discover items they can't describe. It increased GMV by +7% and retention by +7% for PERCENTIL, a Spain/France/Germany retailer.
How to Get Started With Miros
Sign up for a free 14-day trial on the Miros website — no credit card required.
Connect your eCommerce platform (Shopify or WooCommerce) using the one-click integration.
Customize the chatbot's appearance and tone to match your brand guidelines.
Publish the assistant on your store and monitor the analytics dashboard for initial performance data.
Is Miros Worth It in 2026?
For eCommerce businesses with steady traffic and a desire to increase average order value without scaling support headcount, Miros delivers clear ROI. Its strength lies in its focused scope — it does one thing (product discovery and upselling) and does it well. The main limitation is that it cannot handle post-purchase support, so it works best as part of a broader customer experience stack. For stores already using tools like Gorgias or Zendesk for support, Miros is a complementary addition that fills the sales gap. The 14-day free trial makes it low-risk to test.
Miros vs the Competition
| Decision Area | Miros | When Another Option Wins |
|---|---|---|
| Approach to shopper intent | Reads behavioral signals (scroll velocity, clicks, dwell time, ignored items) to infer intent in real time — no prompts or keywords needed | When shoppers can clearly describe what they want in text, keyword-based search may be sufficient |
| Conversion vs Algolia | +296% conversion rate in a 100K-session A/B test | If your catalog is text-heavy and shoppers search by exact product names, Algolia's keyword matching may be adequate |
| Relevance vs Google Vertex | 8.6 vs 5.2 relevance score in a head-to-head test | If you already have a strong Google Vertex implementation and your shoppers use descriptive text queries |
| Deployment time | Live in 2 weeks — working demo on your catalog before you commit, <1 engineering man-week on your side | If you need a fully custom, deeply integrated solution with months of tuning, a DIY approach might be preferred |
| Visual product categories | Built for fashion, furniture, decor, footwear — where 85-86% of intent is visual | For non-visual categories like electronics with model numbers, text search may be more direct |
Miros vs Algolia
Algolia is a popular search-as-a-service platform that relies on keyword matching and filters. Miros works alongside Algolia but adds a behavioral intent layer that doesn't require shoppers to type what they want.
Choose Miros if: Your shoppers struggle to describe what they're looking for (fashion, furniture, decor) and you want to boost conversion without changing your existing search. Choose Algolia if: Your catalog is text-heavy, shoppers use precise keywords, and you need a highly customizable search UI.
Miros vs Google Vertex AI Search
Google Vertex AI Search uses machine learning to improve search relevance, but it still requires shoppers to input text prompts. Miros infers intent from behavior instead.
Choose Miros if: You want to capture the 85% of shoppers who never use the search bar and need a solution that works across all discovery surfaces. Choose Google Vertex AI Search if: You're already invested in Google Cloud and prefer a unified AI platform for multiple use cases beyond product discovery.
Frequently Asked Questions
What is Miros?
Miros is an AI-powered product discovery technology that reads shoppers' behavioral signals (like scroll velocity, clicks, dwell time, and ignored items) to build a real-time preference profile per visitor. It then surfaces the right products in under 60 seconds, without requiring shoppers to type keywords or use filters. It works across search, browse, recommendations, and shop-the-look surfaces.
How does Miros improve conversion compared to traditional search?
In a randomized A/B split test with 100K sessions, Miros achieved a +296% conversion rate compared to Algolia. Across five retailers with 50/50 splits, Miros delivered a +7-19% GMV uplift. It also increased average order value by +4-27% and repeat purchases by +30-56%.
Which industries benefit most from Miros?
Miros is most impactful for visual categories where shoppers can't easily describe what they want. The scraped site highlights fashion (86% visual intent), furniture (85% visual intent), footwear (+31% Buy Now clicks), decor (500M+ signals/month), and stock images (1B+ items, 50-300ms response).
How long does it take to integrate Miros?
Miros can be live in 2 weeks. The company builds a working demo on your catalog before you commit, and integration requires less than 1 engineering man-week on your side. It offers JS widgets or GraphQL API, works headless or with traditional setups, and requires no tagging—the AI reads product images.
Does Miros replace existing search tools like Algolia or Elasticsearch?
No, Miros works alongside Algolia, Elasticsearch, or whatever search you run today. It adds an intent layer that infers what shoppers want from behavior, rather than requiring them to type prompts. The site states it outperforms Google Vertex in relevance (8.6 vs 5.2) and boosts findability on Miinto from 2.8 to 7.8, above Zalando (6.8) and Farfetch (6.3).
Key Takeaways
- Miros is best for eCommerce stores who need a dedicated AI sales agent to increase average order value and conversion rates.
- Pricing starts at $99/month — a 14-day free trial is available with no credit card required.
- Biggest strength is contextual product recommendations at checkout — main limitation is that it cannot handle post-purchase support.
Best Miros Alternatives
- Tidio — For stores needing a combined live chat and chatbot platform with email marketing features.
- Gorgias — For eCommerce brands that prioritize automated customer support and ticket management over sales assistance.
- ManyChat — For businesses wanting advanced marketing automation workflows and omnichannel messaging capabilities.
Bottom Line: Miros is a worthwhile investment for any eCommerce business focused on maximizing revenue per visitor through intelligent, automated product discovery and upselling.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
Pros & Cons
Pros
- Conversion Rate Uplift
- Easy Integration
- Multilingual Support
- Actionable Data
Cons
- Limited to Product Queries
- Conversation Volume Tiers
- No Phone or Voice Support
- Professional Reality
Miros
AI Shopping Tools
Pricing Plans
Paid
Check website for details
