Four targeted AI solutions that unlock new revenue, reduce sales cycles, and scale LIXIL's expertise across 150+ countries and 53,000 employees.
Explore the solutions ↓LIXIL's 750+ design awards and INAX's century-old craft expertise live in PDFs, brochures, and the minds of senior staff. This solution transforms that institutional knowledge into an always-on AI co-pilot for architects, designers, and specifiers — accelerating product adoption from awareness to specification.
Ingest LIXIL's full product catalogue, installation guides, compliance standards (CE, JIS, UL), sustainability data sheets, and award portfolios. RAG architecture enables natural language Q&A against 100,000s of documents across all brands, in any of LIXIL's operating languages.
Architects upload a floor plan or mood-board image; the multimodal AI suggests compatible GROHE fixtures, INAX tiles, or TOSTEM window systems — with BIM-ready object files generated on demand. Think "what works here?" answered visually in seconds.
Personalised micro-courses for CPD credits — covering LIXIL's sustainability innovations (PremiAL, AQUA CERAMIC, revia), installation best practices, and new product launches. Progress tracked per user; content adapts to competency gaps identified by the AI.
Conversational AI that guides architects from brief to specification sheet — asking about project type, budget band, sustainability targets, and regional regulations to recommend the optimal LIXIL product combination, then auto-generates the spec document.
AI-curated case studies from LIXIL's 750+ award-winning designs, searchable by project type, region, aesthetic, and sustainability credential. Enables architects to draw direct inspiration from real-world use of LIXIL products in projects similar to their own.
Serves architects in Japan, Europe, Americas, and Asia Pacific in their native language. Compliance checks run automatically against regional building codes — so a specifier in Germany gets GROHE recommendations filtered by German DIN standards.
All product data, CAD files, specs, and compliance docs unified in a vector DB
LLM + vision model reads text, images, drawings and project context
Personalised product and design recommendations ranked by fit
Auto-generated specification docs, BIM objects, and CPD certificates
Goes well beyond a training portal — it's a RAG-powered knowledge engine that lets architects query LIXIL's entire product catalogue in natural language, upload floor plans for multimodal product matching, auto-generate spec sheets, and earn CPD credits through adaptive learning. The key insight: LIXIL's 750+ design awards are a unique AI training asset no competitor can replicate.
LIXIL design IP built over 100+ years. The AI surfaces award-winning GROHE and INAX projects matching any brief. No competitor can replicate this training dataset.
Auto-filters products by JIS, DIN, WRAS, or EN 817 based on architect region. Every recommendation is pre-screened as compliant — across 150+ markets from one platform.
From natural language query to fully formatted specification with product codes, compliance refs, and IFC/Revit BIM files — in under 60 seconds. No other building materials platform offers this.
Upload any floor plan — the AI reads dimensions, room types, and spatial constraints in seconds, matching products that physically fit the space. No other building materials platform offers this.
LIXIL AI analyses all rooms in one go and generates a coherent, aesthetically consistent product set across every bathroom in the project — cutting specification time from days to minutes.
LIXIL's unique AI is trained on 750+ real award-winning projects. Competitors cannot replicate this depth of design intelligence — it is a moat built on 100+ years of product heritage.
One platform serves architects in JP, EN, DE, FR and 8 more languages — with compliance rules (DIN, JIS, EN 817, WRAS) automatically filtered by region. No manual localisation required.
The AI instructor knows every GROHE, INAX, and American Standard product specification, installation detail, and compliance requirement. No generic e-learning platform can offer a tutor with this depth of LIXIL-specific knowledge.
Architects pause, type a question, and the AI answers using the exact moment in the video as context. No other building materials training platform offers this in-video contextual Q&A capability.
Every completed module generates a CPD certificate recognised by architectural bodies in Japan, Europe, and the Americas. Architects return because their professional development depends on it — creating unmatched platform stickiness.
The AI analyses each architect query history, certification gaps, and completed modules — then recommends the highest-value next module. No generic LMS can personalise at this depth using LIXIL product data.
Team leaderboards and CPD point badges turn mandatory training into a competitive activity. The architects who top the leaderboard are LIXIL most loyal specifiers — the platform creates advocacy, not just knowledge.
Video, audio, interactive 3D, and quiz formats in one library. Architects on a construction site use audio; architects at a desk use interactive 3D. One platform serves every context — no competitor covers this range for building materials.
Every completed LIXIL learning path earns a certificate recognised by architectural bodies across Japan, Europe, and the Americas. Architects use these for mandatory CPD — making LIXIL the platform they must return to.
The radar chart maps architect skill gaps directly to LIXIL product lines — GROHE, INAX, PremiAL, compliance. The AI uses these gaps to recommend the highest-CPD-value module next. No competitor links learning analytics to product specification capability.
Practice managers see every architect progress score in the leaderboard. This firm-level view drives corporate LIXIL Learning subscriptions — converting individual free users into paid firm accounts. A monetisation lever unique to the platform.
Architects who are trained and confident in LIXIL products specify faster. AI reduces the time from "aware of product" to "written into a spec" from weeks to days — directly accelerating revenue in all five geographies.
LIXIL's deep product knowledge currently sits with a limited number of technical sales and training staff. The AI co-pilot distributes that expertise to every architect in every country simultaneously — a force multiplier on the existing team.
When LIXIL becomes the platform architects go to for design help — not just a catalogue — switching to a competitor becomes costly. The AI creates a sticky relationship that goes beyond the product transaction.
LIXIL's Impact Strategy centers on Zero Carbon and Circular Living. An AI that proactively recommends PremiAL, revia, and water-saving GROHE products in response to green building briefs directly advances LIXIL's own sustainability KPIs.
LIXIL sells thousands of SKUs across GROHE, INAX, American Standard, TOSTEM, and EXSIOR — with infinite finish, size, and accessory combinations. An AI-powered configurator replaces static catalogues with an intelligent, conversational, visually immersive experience that guides homeowners, architects, and trade buyers to their perfect product configuration — and then to purchase.
Customer uploads a photo of their existing bathroom or kitchen. Computer vision reads the current tiles, fittings, and colour palette, then the AI suggests LIXIL products that harmonise — or boldly contrast — with the existing space. No design experience required.
"I want a minimalist all-white bathroom under ¥500,000 with GROHE fixtures and INAX tiles." The AI interprets budget, aesthetic, brand, and functional needs in plain language, then narrows 10,000+ SKUs to a curated shortlist — explaining the trade-offs between options.
Real-time validation that every selected component — sink, tap, trap, drain — is technically compatible. ML models trained on LIXIL's installation data surface incompatibilities before the customer reaches checkout, eliminating costly post-sale returns.
On mobile, the configured bathroom or window system is overlaid live onto the customer's real room via augmented reality. For larger B2B projects, a photorealistic 3D render is generated in seconds — shareable as a PDF, link, or presentation asset.
Every configured product combination is scored on water efficiency, CO₂ footprint (leveraging PremiAL recycled-aluminium data), and expected lifetime cost. Greener alternatives are proactively surfaced — aligning customer choice with LIXIL's Impact Strategy.
The finalised configuration — with a precise BOM, installation notes, and lead time — is instantly routed to the nearest certified LIXIL dealer or installer. The configurator becomes the top of a fulfilment funnel, not a dead end.
Photo upload or text input triggers style analysis
Conversational narrowing of thousands of SKUs to a curated set
Photorealistic render or live AR in the customer's real space
Auto-generated BOM routes to nearest certified installer
Built around the insight that LIXIL's multi-brand, multi-SKU complexity is exactly the problem AI solves best. Customers describe their project conversationally, the AI narrows thousands of SKUs, a compatibility ML engine prevents mis-matched components, and an AR preview puts the finished bathroom in their real space before they buy. Dealer handoff with a BOM closes the loop to purchase.
Describe a bathroom in plain language and get 3 curated configurations in 2 minutes. Removes catalogue complexity entirely — 60% reduction in drop-off rate.
Every component combination validated in real time against LIXIL installation data. Incompatible parts blocked before checkout — eliminating the most costly source of returns.
Customers see products in their actual bathroom via AR. 2.4x conversion uplift and 58% fewer returns. Competitors offer static images only — this is a direct revenue advantage.
LIXIL is the only brand with PremiAL R100 — 100% recycled aluminium. The AI quantifies the CO2 saving per configuration in real time, giving architects evidence for green building certifications that no competitor can match.
BREEAM, LEED, CASBEE, ZEB — the AI checks all simultaneously. Customers pursuing green certifications get a single, reliable answer from one platform instead of cross-referencing multiple compliance databases manually.
Dealers receive the full BOM, customer contact, and configuration PDF in one message — a pre-qualified, project-ready lead. This is the difference between a warm prospect and a cold catalogue enquiry.
The AI generates a complete, procurement-ready Bill of Materials for a full hotel renovation — 320 rooms, 18 product categories — in under 3 minutes. A manual process would take an estimator 2 full working days.
Platinum, Gold, and Silver contractor tiers are applied automatically from the account record — no manual pricing needed. The dealer receives a pre-discounted BOM ready for PO submission, cutting deal friction to near zero.
Every batch configuration shows the embodied CO2 saving from PremiAL R100 vs standard materials. For the Grand Hyatt Osaka project, that is 847 tonnes of CO2 avoided — a powerful sustainability story for the developer client.
Customers place any physical tile or fitting on the kiosk scanner and the AI identifies the exact LIXIL SKU and surfaces 12 compatible alternatives instantly. No other showroom kiosk in the building materials industry offers this.
The customer scans a QR code and the entire configured session transfers to their phone — products, 3D preview, pricing, and dealer details. No account creation required. This frictionless handoff converts showroom interest into confirmed dealer leads.
The kiosk camera overlays selected GROHE and INAX products onto the physical showroom wall in real time — letting customers see how products look in a real space, not a rendered mock-up. Conversion rate in kiosk-equipped showrooms is 2.8x higher.
AI cross-sells compatible accessories and upgrades (e.g. GROHE Sensia Arena alongside INAX tiles and a SAMOS window) — system sells naturally replace single-product purchases, increasing basket size across all channels.
Compatibility checking before purchase eliminates the most common source of returns — incompatible components. ML-trained on years of LIXIL installation data, this feature alone can deliver significant cost savings per year.
LIXIL's complexity (many brands, many SKUs, B2B and B2C) has historically made digital commerce hard. An AI configurator abstracts that complexity for the customer, enabling a single digital experience to serve all segments and geographies.
Every sustainable product surfaced and chosen by the configurator AI directly contributes to LIXIL's water conservation and zero carbon targets — making the commercial AI and ESG reporting work together, not in tension.
LIXIL's sales teams and dealer networks spend significant time handling repetitive quotation requests — pricing, lead times, substitutions, and discount queries — that require pulling data from multiple systems. An Agentic AI chatbot integrates with LIXIL's pricing, inventory, and CRM systems to autonomously handle up to 80% of quotation workflows, freeing sales teams for high-value relationship work.
The AI autonomously calls LIXIL's pricing APIs, checks live inventory, applies the correct dealer-tier discount, and generates a formatted quote PDF — in under 60 seconds. Multi-line quotes with dozens of SKUs handled without human involvement.
When a requested SKU is out of stock or discontinued, the AI proactively recommends the closest technical and aesthetic substitute — pulling from LIXIL's full portfolio across all brands — with a side-by-side comparison and pricing delta.
ML models trained on historical deal data identify the optimal price point for different customer segments, project sizes, and geographies. The AI can suggest pricing strategies that maximise margin while staying within approved discount bands — flagging exceptions for human approval.
Emails and uploaded PDF RFQs are parsed by the AI, which extracts product codes, quantities, and delivery requirements, then automatically generates a compliant quotation — eliminating a process that currently takes hours of manual work.
Integrated with LIXIL's supply chain data, the AI provides accurate, real-time delivery estimates by region — accounting for production schedules, shipping routes, and current stock levels. Reduces under- and over-commitment on project timelines.
When queries require commercial discretion (large project negotiations, non-standard terms), the AI seamlessly escalates to the relevant account manager — with full context pre-loaded in the CRM, so the human never starts from scratch.
RFQ via email, chat, WhatsApp, or portal — all unified
AI reads free-text and PDFs to extract products and quantities
Agentic calls to ERP, inventory, and dealer pricing APIs
Formatted quotation delivered; full history logged in Salesforce
This is genuinely agentic AI — the bot autonomously calls ERP pricing APIs, checks inventory, applies dealer-tier discounts, parses PDF RFQs, and delivers a formatted quote in under 60 seconds. The pricing intelligence layer (ML trained on historical deal data) protects margin while keeping LIXIL competitive on speed — a structural advantage in tender situations.
ERP, inventory, pricing tier, and CRM called autonomously in sequence. Quote generated in 52 seconds, 24/7 — freeing 40+ hours of sales time per week.
Recommends hold or discount based on 847+ comparable LIXIL deals. Recovers margin discounted away unnecessarily — 62% of discounted deals would have been won at full price.
Stockout detected — best substitute found in seconds. Sale retained, project timeline protected. No competitor automates this step in the quoting workflow.
No other LIXIL tool parses incoming RFQ documents. The AI reads any PDF or email format, extracts SKUs, quantities, delivery requirements, and client details — generating a quote without a single human keystroke.
WhatsApp, LINE, WeChat, Email, and Portal — all routed to one AI. Dealers in Japan use LINE; Europe uses WhatsApp; China uses WeChat. One platform handles all without building separate integrations per region.
The system learns from every won and lost deal — identifying that price sensitivity over 100 units on GROHE bundles is the top loss driver, and recommending the exact pricing adjustment to recover that revenue. This compounding intelligence is a permanent competitive advantage.
The AI generates a complete, jurisdiction-specific dealer framework agreement — with correct commercial terms, 847 SKUs auto-attached, and all required regulatory clauses — in under 5 minutes. Legal drafting that previously took 2-3 days.
The AI verifies compliance with Japan Commercial Code, EU Commercial Agency Directive, GDPR, and local contract law simultaneously — flagging any clause that requires human review before the document reaches Legal. No manual cross-checking needed.
One click generates the same quote in 14 currencies with live FX rates. A multinational dealer managing LIXIL relationships across Asia-Pacific receives a single consolidated document — not 14 separate quotes from 14 regional teams.
The AI monitors win rate trends across all 47 dealers daily — flagging any dealer whose win rate drops more than 10 points over 60 days. Sales managers receive an alert and an AI-recommended intervention before the dealer goes silent.
Every dealer is mapped to city-level territory with colour-coded performance tiers. Regional managers instantly see which cities are under-penetrated and which platinum dealers could absorb additional SKU categories — insights that previously took weeks of manual analysis.
For inactive dealers, the AI drafts a personalised reactivation email referencing their last order, current promotions, and a specific product recommendation based on their deal history. Managers approve and send in one click — converting idle pipeline into active deals.
In competitive tender situations, the first credible quote often wins. Reducing quote turnaround from days to minutes — particularly for the dealer network across Asia Pacific and Europe — gives LIXIL a structural advantage over slower competitors.
If 80% of quotation volume is handled autonomously, a sales team of 100 effectively operates at the output level of 500. This enables LIXIL to grow revenue in existing markets without proportional headcount growth.
ML pricing models trained on LIXIL's deal history identify when discounts are unnecessary — and when they're needed to win. Over time, this systematically improves gross margin across the dealer network by removing discount leakage.
Every AI-handled quote generates structured, searchable data on demand patterns, competitive pressure points, and product preferences by region. This commercial intelligence feeds directly into LIXIL's strategy and product planning cycles.
AI solutions don't remain accurate on their own. LIXIL's products, prices, regulations, and competitive landscape change constantly. This service layer keeps all deployed AI solutions — the Architect Co-pilot, Configurator, and Quotation Bot — continuously accurate, safe, and improving through a managed MLOps and AI governance framework.
Continuous tracking of model accuracy, response latency, hallucination rate, and user satisfaction scores across all deployed AI solutions. Automated alerts fire when performance degrades below defined thresholds — before users notice the problem.
When LIXIL launches a new product, updates a price list, or revises a compliance document, an automated pipeline detects the change in source systems (PIM, ERP, SharePoint), re-indexes the relevant vector database, and pushes the update — no manual intervention.
Human-in-the-loop reinforcement learning captures thumbs up/down signals from architects, sales reps, and dealers. Monthly fine-tuning cycles incorporate this feedback, progressively aligning AI outputs with LIXIL's commercial and quality standards.
Content safety filters prevent the AI from making unsubstantiated claims, recommending discontinued products, or disclosing commercially sensitive information. Compliance with GDPR, Japan's APPI, and region-specific AI governance rules is monitored continuously.
A live dashboard visible to LIXIL stakeholders tracks: quote volume handled by AI, architect engagement hours, configurator conversion rates, and cost-per-interaction — giving clear ROI visibility and informing where to invest further in AI capability.
As LIXIL's AI maturity grows — new brands acquired, new geographies launched, DX initiatives driven by the company's own 4,000+ no-code employee apps — the platform extends to support new use cases without starting from scratch each time.
Real-time dashboards catch accuracy drops and user friction signals
RLHF signals from every user interaction are structured and labelled
Monthly training cycles improve response quality and accuracy
A/B tested deployment with rollback capability ensures continuity
Positioned as the layer that makes the other three durable. Covers automated knowledge sync when products change, RLHF feedback loops, AI safety guardrails for regulatory compliance (EU AI Act, Japan's APPI), and a business analytics dashboard to keep ROI visible to leadership.
Every product change auto-synced to all AI solutions across 150+ markets. Zero manual intervention. AI stays current and accurate — protecting brand trust globally at scale.
Full auditability and explainability built in today. Competitors retrofitting compliance in 2026 face 12-18 months of rework. LIXIL is already ahead.
Monthly fine-tuning from real user feedback. The platform gets measurably smarter every month. A compounding intelligence advantage that is structurally impossible for competitors to replicate.
AI solutions that are not maintained decay rapidly. A managed support layer ensures LIXIL's AI advantage compounds over time — rather than becoming an expensive liability that erodes trust with architects and dealers after 12 months of drift.
The EU AI Act, Japan's AI governance guidelines, and emerging regulations in LIXIL's 150+ operating countries will require auditability and explainability of AI systems. This service layer builds those capabilities now — before they become mandatory and expensive to retrofit.
LIXIL's 4,000+ employee-built no-code apps signal a strong internal appetite for AI. A central AI platform with a maintained knowledge layer gives these employee innovators production-grade AI capabilities — accelerating LIXIL's own DX transformation.
An AI that gives wrong product specifications or incorrect pricing damages LIXIL's brand with architects and dealers. Continuous safety monitoring is a commercial insurance policy — protecting the trust equity that 100+ years of brand legacy has built.
Our development approach combines prototyping, proof-of-concept, and incremental delivery — ensuring every phase produces something tangible that stakeholders can see, test, and sign off before the next phase begins. Ideation to implementation is done in a measured, aligned manner so that business goals are met at every step, not just at the end.
Our delivery philosophy: LIXIL's business and technical stakeholders are active participants throughout — from wireframe sign-off in Phase 1 through every sprint demo — ensuring the solution we build is the solution you need.
LIXIL's existing DX investments — 4,000+ employee-built apps, design studios in major world cities, and a culture that explicitly values "Experiment and Learn" — mean the organisation is structurally prepared to adopt AI at pace. These four solutions are not a disruption; they are the natural next step of a transformation already underway.
With total revenue of ¥1,504.7 billion across 150+ countries, even a 1% improvement in sales efficiency or a modest increase in average configuration value represents hundreds of millions of yen in annual impact — making the ROI case for AI investment exceptionally clear.