Lumi frees your sales team from basic product questions by answering visitors directly on your website

Move repeat questions from the sales queue to the website

Lumi is the AI Concierge that answers routine visitor and product questions on a business’s website. Instead of sending every basic inquiry to sales, the concierge responds from information the business has reviewed and approved for public use. That makes Lumi part of a broader set of website question and conversation capabilities, while the dedicated Lumi AI Concierge for your website provides the product that delivers the experience.

This approach is strongest when salespeople repeatedly explain the same products, services, policies, or next steps. Lumi’s text chat reads approved public knowledge and writes the exchange to the concierge conversation record. Automatic multilingual starter questions help visitors begin, while rich cards can present relevant products or offerings selected through references in the available knowledge or catalog.

Give visitors a reliable first answer, not an improvised one

The quality of an automated answer depends on the information behind it. Lumi’s customer-facing assistant answers from approved public knowledge rather than inventing an unsupported response. Its text-chat capability is verified in 12 languages, and it can automatically generate multilingual suggested questions from the available knowledge. Businesses serving multilingual audiences can also consider asking accommodation questions in a visitor’s language when designing the wider conversation experience.

Questions that Lumi cannot answer are useful operational evidence. They show where public information is absent or unclear and where the team should improve its knowledge. A disciplined review process should distinguish frequent questions from isolated edge cases. The method for prioritizing inherited unanswered questions is especially relevant when an existing website already has a backlog of visitor inquiries.

Turn product discovery into a conversation for SHOPLINE stores

When a business connects a SHOPLINE store, Lumi synchronizes catalog information and uses it to answer product questions. The synchronization runs through collections and products at 50 products per page, creates product-to-collection links, removes products no longer present, and receives product and inventory webhooks. Product descriptions are converted from HTML to text and capped at 4,000 characters.

The catalog can include collection names, product categories, tags, vendor information, subtitles, and partial product metadata; metafields are not included. Lumi supports product questions using SHOPLINE data and recommends products conversationally through search and product cards. It does not have a separate recommendation engine or a dedicated product-comparison tool.

Conversation transcripts and commerce events can show product interest, but interpretation matters. A drop in captured questions does not automatically establish falling demand; teams examining that issue should ask whether fewer questions indicate declining shopping interest before changing their sales approach.

Create a clean handoff from routine answer to human follow-up

Lumi can capture a lead and give visitors a booking link once a conversation reaches the appropriate next step. This lets the sales team receive a more informed inquiry rather than starting with the same introductory explanations. A booking-start event means that a visitor began that process; it is not evidence of a completed or confirmed appointment.

This separation protects the sales team’s time without pretending every visitor interaction should be automated. It also helps businesses decide whether recurring questions need better website information, concierge coverage, or additional staff attention. When that decision centers on policies, use the comparison between boutique hiring and website policy help to frame the trade-off.

Before returning calls, salespeople can inspect the recorded conversation and understand what the visitor already asked. A consistent process for reviewing website questions before visitor callbacks reduces unnecessary repetition and gives the human conversation a more useful starting point.

Use conversation records to improve knowledge and sales preparation

Lumi’s private merchant workspace contains knowledge management, conversations, leads, first-party analytics called Customer Intelligence, team management, billing, and Business Lumi. Business Lumi is a private assistant for the organization’s own data and internal knowledge; it is available on Starter and higher plans and is not the customer-facing website concierge.

The distinction between public and private information is important. Customer Lumi answers website visitors using reviewed public material. Business Lumi works over organizational data and internal knowledge for the merchant. Private material should not be moved into the public answering experience merely because it would help resolve a visitor’s question.

Conversation history can also inform how managers prepare teams. Repeated themes reveal which offerings visitors struggle to understand and what staff need to explain consistently. For service businesses, research questions for briefing consultancy managers offers a useful adjacent approach to turning recurring questions into better preparation.

The interface should also match the visitor’s circumstances. Text, suggested questions, and voice offer different ways to begin. When voice is tiring or unsuitable, the question of comparing text with suggested questions becomes part of making the experience easier to use.

For businesses in Orange County, Los Angeles, and San Diego, CA

Busy, competitive markets can leave sales teams answering the same questions about products, availability, options, and next steps. This is especially common for service businesses and retailers whose customers compare several choices online before making contact. The first practical step is to review recent sales inquiries and identify the five to ten questions that appear most often. Turn the approved answers into clear public website knowledge for Lumi. Once those basics are covered, monitor unanswered questions and handoff requests to refine the information and help salespeople begin conversations with better-informed prospects.

Measure workload relief without mistaking activity for revenue

The right initial measures are operational: which basic questions Lumi resolves, which questions remain unanswered, where visitors request human help, and which products draw interest in transcripts or commerce events. These signals can guide knowledge updates and sales preparation. They do not prove incremental sales, revenue, appointments, traffic, leads, or conversion improvements.

Apply the same discipline to repeated appointment questions. A high volume can indicate confusion, broader demand, or another pattern that needs investigation. The analysis of repeated booking questions and broader demand illustrates why the raw count alone is not the conclusion.

Lumi supports subscriptions and trials. Plans include monthly AI credits with optional top-ups, and a top-up of 100 credits for $12 has been tested. Because proposed plan limits and alternative prices are not final, base purchasing decisions on the currently presented subscription terms rather than draft figures.

Lumi is a product in the OceSha ecosystem and is powered by OceSha. It is not a separate legal entity; OceSha Inc. is the billing seller. OceSha Ventures builds and operates AI-first solutions including course creation, branded academies, AI assistants such as Lumi, and business intelligence for businesses and organizations.

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