What Is an iMarketplace? Definition and How It Works

An iMarketplace is a platform built around what a person intends to accomplish, rather than around a fixed catalogue of categories. It uses native artificial intelligence and conversation to understand a need, clarify it and connect relevant possibilities across goods, services, housing, mobility and other parts of everyday life.

The “i” stands for Intelligence, Intention, Interaction and Individualisation. Together, these principles describe a platform that starts with ordinary language — such as “I need a suitcase nearby for tomorrow” — instead of requiring the user to translate that need into keywords, departments and filters.

This is not yet an established industry standard term. It is a category WEVONE is proposing and documenting to describe a particular model of AI marketplace: one organised around intentions, dialogue and connected universes from the outset.

The founding definition

As we define it here, an iMarketplace is a multi-universe platform with five defining properties:

It is centred on intentions. The starting point is what the user wants to do, solve, obtain or offer.
AI is native to its architecture. Intelligence is part of search, matching, listing, moderation and recommendations from the platform’s foundations.
It is conversational. The platform can ask questions when a request is incomplete or ambiguous.
It connects multiple universes. Goods, services, housing, mobility, missions, events, animals and skills can coexist in one experience.
It can connect several needs within one journey. Moving house or planning a weekend is treated as a broader intention, not merely a collection of unrelated searches.

These elements work together. Removing one changes the nature of the model: a chatbot placed over a conventional catalogue is not necessarily an iMarketplace, while a platform containing many unrelated services does not become one simply through breadth.

The name is grounded in the four I of the iMarketplace: Intelligence interprets information, Intention identifies the desired outcome, Interaction creates a dialogue, and Individualisation adapts the journey to the person and context.

From categories to intentions

How a conventional catalogue works

Established marketplaces have made buying, selling and booking familiar to millions of people. Platforms such as eBay, Vinted, Leboncoin and Facebook Marketplace benefit from substantial scale, established user habits, liquidity, trust mechanisms and mature seller tooling. Their designs generally organise supply into recognisable categories and support discovery through search terms, filters, feeds or browsing.

That structure is effective when users know what an item is called and where it belongs. Someone looking for a second-hand bike can select the appropriate category, set a price range and choose a location.

Its structural limit appears when a real-life need crosses category boundaries or is difficult to formulate as keywords. This is largely a consequence of the design era and focus of catalogue-led platforms, rather than an absence of useful features.

How an intention-led platform works

An iMarketplace accepts the need before deciding where it belongs. The user might say:

“I need a reliable second-hand bike for commuting, no more than five kilometres away, and someone who can check it before I buy.”

The request contains an object, a use case, a location constraint and a possible service. Through intent understanding rather than keywords, the platform can identify these components, ask about budget or bicycle size, and search across more than one universe.

This is the practical meaning of intent-based search. It is not an attempt to guess everything about the user. It is a structured effort to understand the outcome they have described, using only the context necessary for the task.

Native AI and conversation

AI as part of the platform, not an added layer

Many existing platforms are adding useful AI capabilities to mature products, including better recommendations, listing assistance and customer support. An iMarketplace is distinguished not by the mere presence of AI, but by its architectural role.

In a native system, AI participates in interpreting requests, mapping intentions to supply, identifying relationships between universes and shaping the next step. The distinction between native AI and added AI concerns how deeply intelligence is integrated, not whether one interface looks more modern than another.

A native AI marketplace should still impose clear limits. Automated suggestions can be wrong, local availability can be sparse, and sensitive decisions may require human judgement. Users should be able to inspect listings, compare options and understand why information is being requested.

Why dialogue matters

Ordinary requests are often incomplete. “Find a driver to the airport” leaves several questions unanswered: which airport, what date, how many passengers, how much luggage and where should the journey begin?

A search bar may return results immediately. A conversational marketplace can instead ask one or two relevant questions before matching. This process is explored further in how conversational marketplaces work.

Conversation should reduce effort rather than create an interrogation. A well-designed AI assistant marketplace asks only for information that meaningfully changes the result and allows the user to correct its interpretation.

Why multiple universes matter

A universe is a coherent area of activity, such as objects, housing, services, events or mobility. A multi-universe platform connects these areas through a shared understanding of the user’s intention rather than simply placing several menus in the same app.

Consider a weekend rental. A person may need somewhere to stay, transport, pet care at home, tickets for a local event and perhaps a suitcase located five kilometres away. On specialist platforms, each need may be handled effectively, but usually through separate searches, accounts and sets of context.

An iMarketplace treats “I am planning a weekend away” as the organising intent. It may surface a rental first, then offer relevant transport or local events once dates and location are known. This illustrates why universes work better together: context can travel with the journey, subject to user choice and appropriate privacy controls.

The same principle applies to moving into a flat. The initial housing search may lead to a driver, gardening help, furniture, a local craftsperson and a mission to assemble shelves. The aim is not to force additional transactions, but to recognise that everyday projects rarely fit inside one category.

| Dimension | Catalogue-led marketplace | iMarketplace definition | |---|---|---| | Starting point | Product or service category | User intention or desired outcome | | Main interface | Search, filters, feeds and browsing | Conversation supported by search and browsing | | Role of AI | Varies; often added to specific functions | Native across the platform architecture | | Scope | Often a category or related set of categories | Multiple connected universes | | Complex needs | Usually divided into separate searches | Can be interpreted as one connected journey | | Personalisation | Often based on activity and preferences | Also considers stated context and current intent |

What an iMarketplace is not

An iMarketplace is not a new name for every online marketplace. The definition requires more than AI-generated text or a conversational visual layer.

It is also not:

A chatbot glued to a search bar. Conversation must connect to the underlying matching and transaction systems.
An aggregator. An aggregator collects results from different sources; an iMarketplace is designed as a coherent environment for understanding and fulfilling intentions.
A super-app assembled from unrelated features. Multiple functions alone do not create shared context or intent-led journeys.
A fully autonomous purchasing agent. Users retain control over comparisons, communication, commitments and payments.
A replacement for every specialist platform. Category specialists may offer deeper inventory, dedicated communities or highly developed tools for a particular activity.

For some people, a focused resale app or familiar classifieds service will remain the most efficient choice. An iMarketplace is a marketplace alternative that may suit users who prefer to express a need naturally or connect several needs in one place.

A concrete example: WEVONE

WEVONE is one practical illustration of the proposed model, not proof that the category has prevailed. Public since 2026, it is a young platform with a few hundred registered members as of August 2026. It is far smaller than Vinted, Leboncoin, eBay or Facebook Marketplace, so availability and liquidity cannot be assumed to match those established platforms.

Available today in one app are Tutus for second-hand goods and fashion, Nest for housing and space rental, Mission for services and local gigs, Events, and Pilote for transport and parcel delivery. More universes are planned.

Mia, WEVONE’s built-in AI, supports conversational natural-language searches such as “a black T-shirt with an eagle on it”. It also assists with listings through photo analysis and title and price suggestions, moderates listings and photos, and can make cross-universe recommendations. How Mia guides users explains the assistant’s role in more detail.

Discovery is local-first and map-based, filtered by the area the user is currently viewing. This is intended to make requests such as “find near me”, “sell second-hand locally” or “deliver this parcel across town” more practical. Results still depend on available supply, location and timing.

WEVONE uses the positioning “Earn from every action” across buying, selling, renting, booking and earning. Income is never guaranteed; it depends on demand, location, condition, pricing and the activity offered.

What the model could change

The main change is not that categories disappear. Categories remain useful for organising supply, compliance and browsing. What changes is their position: they become part of the platform’s internal structure rather than the first problem the user must solve.

This can make an iMarketplace useful for people who do not know the correct terminology, have accessibility needs, or face a task involving several providers. It may also help sellers describe an item, suggest relevant attributes and reach people whose stated intention matches what is being offered.

However, intelligence does not remove the fundamentals of marketplace operation. Trust, identity, moderation, accurate listings, fair ranking, privacy, payments and dispute handling remain essential. The experience also depends on sufficient local supply. A sophisticated request cannot produce a suitable private tutor, pet carer or second-hand phone where none is available.

Conclusion

An iMarketplace is a proposed form of marketplace organised around intention, native AI, conversation and multiple connected universes. Its purpose is to let people describe everyday goals in ordinary language and receive a coherent journey across relevant goods, services and opportunities.

It does not eliminate catalogues, specialist platforms or user choice. Instead, it changes the primary interface from “choose a category” to “tell the platform what you are trying to do”. Whether this approach becomes widely adopted will depend on its ability to deliver useful matches while maintaining transparency, trust, privacy and human control.

FAQ

What does the “i” in iMarketplace mean?

It stands for Intelligence, Intention, Interaction and Individualisation. These four principles describe how the platform understands needs, conducts dialogue and adapts the experience.

Is iMarketplace an established industry category?

No. It is a category WEVONE is proposing and defining publicly. It is not yet a standard term recognised across the marketplace industry.

Is an iMarketplace simply an AI marketplace?

Not necessarily. An AI marketplace may use artificial intelligence for one or more features. An iMarketplace specifically requires native AI, intent-led discovery, conversation and connected universes.

Does an iMarketplace still use categories and filters?

It can. Categories and filters remain useful tools, but they are not the required starting point. The platform first interprets the intention and can then use structured attributes behind the scenes.

Can an iMarketplace handle several needs at once?

That is one of its defining aims. A request about moving house, for example, could connect housing, transport, furniture and local services in one journey.

Is WEVONE already a large iMarketplace?

No. WEVONE is a young platform with a few hundred registered members as of August 2026 and is far smaller than established marketplace companies. It is an early concrete implementation of the concept.