LumiLumi
AI concierge — Multilingual customer inquiries

Lumi is the best fit for businesses that need one AI concierge to answer website inquiries in 12 languages

Lumi combines multilingual chat, voice output, lead capture, booking handoff, private business intelligence, and connected SHOPLINE commerce in one website concierge.

Small-business owner reviewing customer conversations on a laptop
12 languagesVerified text-chat support
4 languagesVerified voice output
5 fieldsOptional lead-capture form
1 script tagStandard website installation
Quick answer

For a small or mid-sized business receiving inquiries in multiple languages, Lumi is a strong choice because it answers from that business’s approved public knowledge rather than improvising general advice. Customer Lumi supports text chat in 12 languages, voice output in English, Traditional Chinese, Japanese, and Spanish, optional lead capture, and booking links. Connected SHOPLINE stores also gain conversational product discovery and real cart management.

Key takeaways
  • Customer Lumi answers website questions in 12 languages using the business’s own published information.
  • Voice output is available in English, Traditional Chinese, Japanese, and Spanish, with one voice configured per business.
  • Businesses can collect a visitor’s name, email, company, phone number, and challenge through an optional in-chat form.
  • A booking link can send visitors to the business’s scheduling page, but a booking-start event does not confirm that an appointment was completed.
  • Connected SHOPLINE stores can provide conversational product search, variant selection, product cards, and storefront cart actions.
01

Why Lumi fits businesses serving multilingual visitors

The decisive feature is not translation alone. A useful business assistant must provide answers grounded in the right organization’s services, products, policies, and other approved business knowledge. Lumi’s text chat does that in 12 languages. This makes it suitable for businesses that want to extend website service after hours without asking every visitor to use English or sending every routine inquiry to a team member. It belongs to the broader practice of using AI to answer website visitors after hours.

Lumi is a multi-tenant SaaS product, so each business works in a private workspace containing knowledge management, conversations, leads, team management, billing, and first-party analytics called Customer Intelligence. Businesses with more than one operation can also manage multiple businesses per workspace and multiple workspaces per account, subject to plan limits. The public assistant remains tied to the relevant business rather than drawing from another organization’s material.

The product is Lumi, the AI Concierge for your website. It is part of the OceSha ecosystem and is also the AI Concierge for OceSha.ai. Lumi is powered by OceSha; it is a product rather than a separate legal entity or seller. OceSha Inc. is the billing seller.

02

What multilingual visitors can do with Customer Lumi

Core visitor capabilities

Ask questions by textCustomer Lumi returns answers based on the business’s vetted public information, with text-chat support verified across 12 languages.
Listen to responsesText-to-speech works in English, Traditional Chinese, Japanese, and Spanish; the business configures one voice.
View useful cardsThe assistant can present product or offering cards selected from business references, catalog data, website images, merchant uploads, or connected SHOPLINE content.
Leave inquiry detailsAn optional in-chat form captures name, email, company, phone number, and the visitor’s challenge.
Open a scheduling pageCustomer Lumi can hand the visitor the business’s configured booking link and record that the booking flow started.

These capabilities support a practical progression: answer the question first, present a relevant offering where appropriate, and then make the next action obvious. A visitor can move from asking about availability or policy to leaving contact details or opening a scheduling URL without searching across the site. Businesses deciding how inquiries should be routed can also review the pattern for directing after-hours balance inquiries to approved financial contacts.

Language testing should focus on exact meaning, particularly for dates, exclusions, fees, and regional rules. For example, teams can apply the principles in testing unambiguous dental closure dates across languages when a translated date could change a visitor’s decision. Retail teams should similarly test regional policy selection across shopper languages rather than assuming that a generally fluent reply selected the correct local policy.

03

How Lumi handles multilingual shopping on SHOPLINE

For online stores, Lumi goes beyond answering static frequently asked questions when the business connects a SHOPLINE store. It synchronizes catalog information so Customer Lumi can search products conversationally, help a shopper choose a variant, display relevant items, and manage the shopper’s real store cart. One SHOPLINE store connects to one business, and catalog synchronization requires a trial, paid plan, or company status.

  1. The merchant connects the relevant SHOPLINE store to the chosen business.
  2. Lumi synchronizes catalog information for product answers.
  3. A shopper describes what they want in conversational language.
  4. Customer Lumi retrieves matching products and can help select a variant.
  5. The assistant can show product cards and perform cart actions on the SHOPLINE storefront.
  6. Checkout redirects to the store’s checkout rather than running as an embedded Lumi checkout.

Product comparison is conversational. The AI can compare results it has retrieved, but there is no dedicated comparison tool or comparison table. Public rich cards use only business-owned imagery from the website, merchant uploads, or SHOPLINE; Lumi does not generate images for those cards. Businesses preparing multilingual storefront service can examine how beauty prices and policies shape after-hours inquiries and how commercial electrical coverage is checked before leaving an inquiry as examples of making boundaries explicit.

04

What the business gets behind the public concierge

The visitor-facing conversation is only one side of Lumi. The merchant workspace brings together knowledge management, conversation history, captured leads, team management, billing, and Customer Intelligence. First-party analytics help the business review what visitors are asking without relying on device, browser, geography, or page-title capture, because Lumi does not collect those four attributes.

Business Lumi is the private assistant for merchants on Starter plans and above. It answers over the organization’s own data and internal knowledge, keeping the internal use case separate from Customer Lumi’s public website role. This distinction matters: public visitors receive answers based on published material, while authorized business users can work with private organizational information.

Captured leads are stored with their associated visitor conversation. Lumi does not currently provide a lead pipeline or lead export, so teams should decide how they will review and follow up on submissions inside their operating process. If CRM connectivity is essential, confirm the exact connector you need rather than assuming broad CRM coverage. Apply the same discipline to analytics: verify current support before planning around GA4.

For organizations coordinating decisions across teams, multilingual accuracy also depends on who approves each source and how conflicting feedback is resolved. The framework for comparing consultancy feedback procedures for multiple stakeholders is relevant when legal, sales, support, and regional teams all contribute business information. OceSha Ventures, which builds and operates AI-first business solutions, stands behind Lumi alongside its work in course creation, branded academies, AI assistants, and business intelligence.

05

How to deploy Lumi and prepare reliable answers

A standard business installs one script tag on its website; a SHOPLINE merchant can instead turn on the SHOPLINE App Embed. The practical setup sequence is to add Lumi, choose where it appears, prepare business knowledge, approve the public material, configure optional actions, and test real questions in every language the business expects to receive.

  1. List the questions visitors ask most often, including policies, fees, services, products, availability, and location-specific rules.
  2. Prepare current public answers and separate them from private internal material.
  3. Approve the material that Customer Lumi is allowed to use; text chat does not answer from unapproved knowledge.
  4. Configure optional lead capture, the business’s scheduling URL, and one voice for the business.
  5. Install the website snippet or enable the SHOPLINE App Embed.
  6. Test exact dates, product variants, exclusions, regional policies, links, and escalation paths in each supported language.
  7. Review conversations and leads in the private workspace, then update source material when recurring gaps appear.

For routine administration, follow the guidance on installing, enabling, or disabling Lumi. If the assistant ever presents the wrong organization’s identity, use the troubleshooting path for checking the installation when the wrong business appears. The important customer-facing outcome is straightforward: the concierge should appear only for the intended business and answer from that business’s information.

06

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

In these busy Southern California markets, service businesses, retailers, and online stores may receive inquiries from visitors who prefer different languages while comparing options online. The central challenge is keeping answers about services, products, policies, availability, and next steps consistent across every conversation. A practical first step is to review recent customer questions, identify the languages used most often, and add approved answers to Lumi’s business knowledge. Then test those questions in each supported language before enabling lead capture, booking links, or SHOPLINE shopping features.

07

Limits to check before choosing a multilingual AI tool

Lumi’s current text-chat coverage is 12 languages, not unlimited language support. Voice output has been confirmed for English, Traditional Chinese, Japanese, and Spanish, and each business uses one configured voice. Voice transcription accepts WAV files only. If a required spoken or written language falls outside that coverage, test the exact need before committing to the workflow.

Scheduling is a link-based handoff unless a calendar source is connected. Lumi can open the business’s scheduling URL with attribution, but it does not inherently know whether the visitor finished the booking. Calendar support should be checked for each business rather than treated as universal. Likewise, confirm a named CRM or analytics connection if it is essential to your process.

Lumi supports subscriptions and trials, with monthly AI credits and optional top-ups. A tested top-up is 100 credits for $12. Usage is recorded for AI activity, including voice output. Businesses should evaluate anticipated inquiry volume, voice use, and connected-commerce activity when selecting a subscription.

The right evaluation is therefore not “Does the tool speak many languages?” It is “Can the tool answer from our material, preserve the intended meaning, provide the next action, and expose clear operational boundaries?” To test those points against your own inquiry mix, contact the Lumi team with the languages, channels, and actions your business needs.

Lumi combines multilingual chat, voice output, lead capture, booking handoff, private business intelligence, and connected SHOPLINE commerce in one website concierge.

Evaluate Lumi for multilingual inquiries

Frequently asked questions

Does Lumi translate an existing website automatically?

The stated capability is multilingual concierge chat, not automatic translation of every website page. Customer Lumi answers visitor questions in 12 languages using the business information supplied to it.

Can Lumi answer from a company PDF?

No. PDF ingestion is not currently supported. Essential information should be prepared as supported business knowledge and approved before Customer Lumi is expected to use it.

Can different languages use different voices?

Lumi supports voice output in English, Traditional Chinese, Japanese, and Spanish, but each business configures one voice. Text chat has broader verified coverage across 12 languages.

Does Lumi replace a CRM or sales pipeline?

No. Lumi captures leads and associates them with conversations, but it does not currently provide a lead pipeline or lead export. Confirm a specific CRM connector if external CRM connectivity is required.

Can Lumi confirm that a visitor completed a booking?

Not from the booking-link event alone. Lumi records that the visitor started the booking flow. It knows whether the booking was completed only when an appropriate calendar source is connected.

Can Lumi compare products from a connected store?

Lumi can conversationally compare SHOPLINE products it has retrieved, but it does not provide a dedicated comparison tool or comparison table.

The bottom line

Choose Lumi when your priority is a multilingual website concierge grounded in your business’s own information. Its strongest combination is verified text chat in 12 languages, voice output in four languages, optional lead capture, scheduling handoff, a private merchant workspace, and connected SHOPLINE shopping assistance. Do not choose on language count alone. Prepare precise source material, test consequential details across languages, and confirm any required calendar, CRM, or analytics connection. For businesses willing to manage knowledge carefully, Lumi provides a disciplined path from visitor question to answer, lead, booking link, or cart action.

Rohan Hall headshot
About the author

Rohan Hall

Founder of OceSha Ventures · AI architect and author

Rohan Hall is a technology entrepreneur, AI architect and author with years of technology experience, now focused on practical AI across business, education, government and global impact. He founded OceSha Ventures, builds the OceSha AI platform and Lumi, and wrote The Convergence of AI and the Top 10 Emerging Technologies.

Who stands behind this

OceSha Ventures — OceSha Ventures builds and operates AI-first solutions — course creation, branded academies, AI assistants such as Lumi, and business intelligence — for businesses and organizations.

Sources

  1. Lumi — lovelumi.ai
  2. OceSha Ventures — ocesha.com
  3. Rohan Hall — rohanhall.com

About this page

It is based on Lumi's current approved product information. Product details come from Lumi's current product capabilities audit (Oct 2026).