Lumi helps visitors find the right service through guided, knowledge-based conversations

Replace a complicated service menu with a guided conversation

Lumi is the AI Concierge that provides this conversational layer on a business website. A visitor can ask a question by chat or voice, add context and follow up as the decision becomes clearer. Customer Lumi responds only from public material the business has approved, so the experience remains tied to what the business actually offers rather than producing a speculative recommendation. This is a practical extension of the wider goal to answer website visitors after hours when the team is not immediately available.

The central advantage is not a larger list of services. It is a better way into that list. Someone who does not know the business’s terminology can start with the problem, desired service or restriction described on the site. Lumi can then surface relevant published information and continue the exchange until the visitor understands the documented options and the available next step. Businesses that want this experience on their own site can explore Lumi, the AI Concierge for websites.

Build the conversation from the information the business has published

A useful concierge needs a controlled body of knowledge. Lumi’s website discovery process examines as many as 25 public pages and organizes the material into knowledge items. This discovery capability has been verified with six businesses. Merchants then work from a private workspace that includes knowledge management alongside conversations, leads, Customer Intelligence, team management and billing.

The quality of the answer depends on the quality and coverage of the source material. If an important service, restriction or policy is missing from the website knowledge, add or clarify it rather than expecting the concierge to fill the gap. The same principle applies when a visitor asks about a service that has never been documented, as illustrated by handling questions about undocumented assembly services. Lumi is strongest when it makes existing information easier to reach, understand and act on.

Help visitors distinguish between similar options without guessing

Businesses with many services often have options that sound similar but differ in scope, eligibility, prerequisites or operational restrictions. Lumi can explain those differences when they are present in the approved source material. The visitor does not need to open several pages and reconcile the language alone; the conversation can bring the relevant details together and respond to follow-up questions in context.

This approach is especially useful when the distinction is more important than the service name. A fleet visitor may need to establish whether a published restriction applies before choosing an offering; see the related example of finding fleet services and vehicle restrictions. In professional services, the decisive question may instead be whether a provider’s stated scope and eligibility fit the visitor’s situation, which is the focus of comparing advisers’ published service scope.

Continue from service discovery into lead capture or booking

Finding a suitable service is only useful if the visitor can move forward. Customer Lumi can capture leads and provide a booking link. This creates a direct transition from “Which service fits?” to the next action the business has made available, without presenting Lumi as the provider of the underlying service.

A booking-link handoff is not the same as a completed appointment. Lumi receives booking and calendar meetings only where the relevant connection is present, and a booking-start event should be treated as the beginning of that process rather than confirmation. If scheduling connectivity is important, confirm the support available for the business’s calendar setup. For a policy-sensitive version of this journey, consider how visitors can check published hair-color patch-test requirements before choosing a service.

When the conversation reaches an unusual case, the objective changes from automated resolution to clean escalation. A question such as who can request a gift voucher transfer should be answered only when the business has supplied the applicable policy. Otherwise, lead capture gives the team the opportunity to respond directly.

Use multilingual conversation and first-party context to reduce friction

Lumi records first-party visitor and session information that helps the business understand how people reach and use the website. The tracked context includes anonymous visitor and session data, page path, UTM information, referrer origin and language. It does not include device, browser, geography or page title. This information appears within Customer Intelligence alongside Lumi conversations, messages, leads, voice use and AI analysis.

Language context matters when a broad offering serves visitors who do not all phrase questions in the same way. The service-selection challenge may involve both language and timing, particularly for seasonal audiences. The practical considerations are explored in multilingual website help for tourism visitors, while mixed-language follow-ups about garage services shows why the conversation must preserve the visitor’s changing context rather than force a fresh search after every question.

Private and internal business knowledge belongs in the workspace rather than in Customer Lumi’s public responses. This separation lets the business operate with internal context while keeping visitor-facing answers constrained to material approved for external use.

Extend the same discovery pattern to products and other complex choices

For a connected SHOPLINE store, Lumi can use synchronized catalog information to help shoppers find products and manage the real storefront cart. Cart creation and modification happen in SHOPLINE’s own browser-based storefront cart; Lumi does not store the cart. Each action supports a quantity from 1 to 20, and Lumi confirms a change by reading the cart back.

SHOPLINE handles discounts, taxes, totals, shipping, checkout, payment and order creation. Lumi does not calculate those values, process payment or receive order data. Cart actions work only on the SHOPLINE storefront through the App Embed, not on a non-SHOPLINE website. Checkout-reference tagging is limited and should not be treated as confirmed order or revenue attribution.

The underlying pattern is the same for services and products: make the documented choices conversational, clarify relevant criteria, and send the visitor into the correct business-controlled next step. For another criteria-heavy service decision, see comparing published window substitution criteria.

Lumi is a product in the OceSha ecosystem, not a separate legal entity. It is powered by OceSha, while billing is handled by OceSha Inc. OceSha Ventures builds and operates AI-first solutions spanning course creation, branded academies, AI assistants such as Lumi and business intelligence. To discuss how a broad service offering should be structured for conversational discovery, contact the Lumi team.

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