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Luigi's Box, s.r.o.

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www.luigisbox.comBratislava, SlovakiaUpdated

Luigi’s Box is an AI-powered e-commerce platform that optimizes search and product discovery.

Overview

Luigi's Box is an AI-powered platform that helps e-commerce businesses improve product discovery and conversions. It provides an intelligent, cloud-based solution that enhances site search, delivers personalized recommendations, optimizes product listings, guides shopping experiences, and offers advanced analytics. Built to work with a wide range of e-commerce platforms, Luigi's Box is designed for scalability, security, and multilingual support, helping retailers deliver fast, relevant results at scale. The company serves thousands of online shops worldwide, and is trusted by thousands of merchants seeking to operate more efficiently, learn from user behavior, and drive revenue through data-informed merchandising. The mission is to empower e-commerce businesses to achieve their goals effectively and with ease by delivering smarter search, recommendations, and analytics that support better decision-making and growth.

Mission statement

We build an intelligent product discovery platform that empowers e-commerce businesses to achieve their goals effectively and with ease.

What would you like to do?
Analyze as a competitorCompare positioning, offers and segments against your own company.Evaluate as a vendorScore Luigi's Box, s.r.o. against alternatives on your own criteria.Claim this AI agentWork at Luigi's Box, s.r.o.? Improve your AI agent so it ranks higher when people ask AI about you.How AI sees this companyThe metadata, structured data and Markdown that assistants read.

What we offer

AI-Powered Discovery Suite

Enhance product discovery and boost e-commerce conversions with Luigi's AI-Powered Discovery Suite.

Pricing not published

www.luigisbox.com/ai/

Market segments

Market size by segment

Growth potential (CAGR)

Site search and merchandising

1.8 Billion USD12% CAGR

Personalizes site search, autocomplete, faceted navigation, and merchandising controls to improve product discovery and on‑site conversions.

Products: AI-Powered Discovery Suite

Personalization and merchandising

3.5 Billion USD12% CAGR

AI‑driven product discovery, search and browse, dynamic category listings, recommendations and merchandising orchestration to increase conversion and average order value.

Products: AI-Powered Discovery Suite

Conversational commerce and guided selling

10.1 Billion USD14.8% CAGR

Conversational AI interfaces that guide buyers through specification-driven product selection, provide self-service support, and deliver admin analytics for interaction monitoring.

Products: AI-Powered Discovery Suite

Product discovery analytics and performance monitoring

1.2 Billion USD16% CAGR

Analytics and monitoring that track user exploration, search and recommendation performance, and site interactions to inform merchandising and user experience improvements.

Products: AI-Powered Discovery Suite

More information about our offering

AI-Powered Discovery Suite

Luigi's Box AI-powered Discovery Suite is an integrated platform that combines AI-powered Search, Recommender, Product Listing, Shopping Assistant, Conversational Agent, and Analytics to improve product discovery and boost e-commerce conversions. It supports quick setup and easy integration with a wide range of e-commerce stacks, designed for scalability and multilingual use.

Pricing not published

  • Delivers Accurate Search Results
    Ensures customers find products quickly and efficiently, enhancing the shopping experience and increasing conversion rates.
  • Increases Average Order Value
    Encourages upsells and cross-sells tailored to individual customer preferences.
  • Increases Relevance
    Utilizes advanced algorithms to ensure that search results prioritize the most relevant products, enhancing user experience and conversion rates.
  • Tailors Results
    Customizes search outcomes based on individual user behaviors and preferences, improving engagement and sales.
  • Boost Shopping Experience
    Utilizes analytics to identify poor-performing areas in the customer journey, allowing for targeted improvements.
  • Understand User Behavior
    Analytics reveal customer interactions, helping to inform better merchandising and marketing strategies.
  • Provides Actionable Insights
    Offers detailed reports on user behavior to improve site navigation and enhance overall customer engagement.
  • Facilitates Product Discovery
    Engages users in natural dialogue to help them locate items effortlessly, improving customer satisfaction.
  • Maximizes Sales Opportunities
    Enhances product visibility to drive conversions and increase sales based on data-driven strategies.
  • Speeds Up Queries
    Provides instant suggestions while typing, allowing customers to find products faster and enhancing the overall search experience.
  • Understands User Intent
    Utilizes advanced NLP techniques to grasp the user's search intent, providing more accurate results that match their expectations.
  • Improves Search Accuracy
    Automatically detects and corrects typographical errors in queries, ensuring users receive relevant results despite errors.
  • Boosts Revenue Through Upsells
    Smart recommendations guide customers towards higher-value products, effectively increasing the average order value.
  • Enhances Customer Experience
    Assists users in making informed purchase decisions easily and intuitively.
  • Enhances Query Matching
    Includes synonym recognition to broaden search results, ensuring users find what they are looking for, even if terminology varies.
  • Refines Search Results
    Enables shoppers to narrow down search results based on various criteria, enhancing the likelihood of finding the right product.
  • Enhances Shopping Cart Value
    By presenting related items, cross-selling strategies help maximize cart values during checkout.
  • Informs Business Decisions
    Detailed analytics help businesses understand customer interactions, optimizing future marketing efforts.
  • Track Key Metrics
    Enables businesses to gauge the effectiveness of various features on their website, facilitating continuous optimization.

Sources

Methodology and sourcing behind the figures and links shown above.

Site search and merchandising

No direct market-size figures for "site search and merchandising" were present in the results. I used parent-market figures as anchors: MarketResearchFuture estimates the global SEO services market at $70.5B (2024) with a 6.07% CAGR, and Persistence Market Research forecasts the digital marketing services market at $750B (2026) with an 8% CAGR. Site search & merchandising is a narrow e‑commerce/martech subsegment (software + integration/services). Conservatively allocating a small share of these parent markets (blended rationale: ~0.2–0.6% of digital marketing services and alignment with a fraction of SEO spend) yields an estimated market size around $1.8B. Growth potential is set above parent-market CAGRs (estimated ~12% CAGR) to reflect faster adoption driven by e‑commerce growth and AI-enabled personalization/merchandising investments.

Personalization and merchandising

Search results contained adjacent market figures (customized retail stores: USD 24.54B in 2026; merchandising market: USD 0.188B in 2024, CAGR 7.82%). Those relate to physical retail and merchandising product markets rather than AI personalization software. Using those anchors plus domain knowledge about SaaS personalization, search/recommendation and merchandising-orchestration adoption in retail (widespread AI investment, omnichannel spend, and higher per-dollar growth for software vs. physical merchandising), I estimate the AI-driven personalization & merchandising software market at roughly $3.5B (2026) with ~12% CAGR driven by AI, e-commerce growth, and retailer investment in conversion/AOV optimization.

Conversational commerce and guided selling

Primary estimate uses Future Market Insights (FMI) reporting a conversational commerce market size of USD 10.1 billion in 2026 with a 14.8% CAGR (2026–2036). This is corroborated by InsightAceAnalytic (2025 USD 9.5B; 16.0% CAGR to 2035) and Fin.ai (approx. $10–14B in 2026; ~$40B by mid-2030s), which show similar sizing and growth ranges for the guided-selling / conversational commerce segment.

Product discovery analytics and performance monitoring

Estimated from the broader Customer Experience Management (CEM) market (USD 15.7B in 2025, 15.4% CAGR). Product discovery analytics is a specialized subset of CEM/e‑commerce experience tooling; assuming it represents roughly 7–8% of the CEM market yields ~USD 1.1–1.3B (picked USD 1.2B). Growth potential is set slightly above the CEM baseline because AI search, recommendations, and personalization investments are accelerating adoption, so an estimated CAGR of 16% is used (in line with CEM’s 15.4%).

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