--- title: "Work — MING Labs" description: "Selected case studies. AI Product Finders, Companions, Sales Enablement, Agent Experience, and Hybrid Organisation engagements." canonical: https://www.minglabs.com/work lang: en --- # Work. What we've built for enterprises. And for ourselves. ## Selected case studies ![MANN+HUMMEL](/_astro/mannhummel-logo.B1l0KoG1.svg) AI Product Finder ### 3,000 SKUs narrowed to one recommendation. Agents need this logic — it's currently locked behind a JavaScript UI. We built an AI-powered product finder that guides users through complex filtration requirements to the exact right product. 3,000 → 1 recommendation MANN+HUMMEL — Detail ![MANN+HUMMEL case study](/_astro/mannhummel-case.Cs84TVp_.webp) Problem 3,000 SKUs with complex compatibility rules. Customers can't self-serve, sales reps need deep product knowledge. Solution Conversational AI product finder that understands filtration requirements, vehicle specs, and application context. Result Self-service product selection. Reduced support load. Foundation for agent-accessible product logic. Service AI Product Finder ![MANN+HUMMEL case study](/_astro/mannhummel-case.Cs84TVp_.webp) ![Stöckli](/_astro/stoeckli-logo.BLMh7uo_.svg) AI Product Finder ### Ski selection based on rider profile. Complex compatibility logic made conversational. From body measurements, skill level, and terrain preference to the perfect ski — without a 40-page catalogue. Stöckli — Detail ![Stöckli case study](/_astro/stoeckli-case.CVJXk3BH.jpg) Problem Ski selection requires matching rider weight, height, skill level, terrain, and snow conditions against product lines. Solution Conversational product finder that translates rider profile into precise ski recommendations with reasoning. Result Higher conversion in online shop. Reduced returns. Better match quality than manual selection. Service AI Product Finder ![Stöckli case study](/_astro/stoeckli-case.CVJXk3BH.jpg) ![Oikos Group](/_astro/oikos-logo.SARKT9Pp.svg) AI Product Finder ### Plan a whole house from a conversation with CASAI. For Oikos Group, one of Europe's largest prefab-home builders, we built CASAI: an AI advisor that turns a buyer's wishes, style and budget into concrete, priced house concepts in real time, then compiles a downloadable Exposé. No expertise needed, no pressure, available around the clock. 10,000+ realised builds behind every concept Oikos Group — Detail ![Oikos Group case study](/_astro/oikos-case.CU5N7wJP.webp) Problem Planning a prefab home is a months-long, high-stakes decision. Buyers need design and pricing clarity early, but every question ties up a rep, and most stall before they ever make contact. Oikos needed one digital advisor that scales across its house brands. Solution CASAI, a conversational AI advisor. It matches a buyer's wishes against 10,000+ realised builds, turns them into concrete house concepts with live pricing, and compiles a downloadable Exposé that becomes the basis for talking to a human expert. Now the group's AI-supported digital standard, live on Hanse Haus. Result Buyers reach a clear, costed concept on their own, around the clock and with no obligation. Every completed Exposé is a qualified, sales-ready lead, and CASAI is now Oikos Group's digital standard for house planning. Service AI Product Finder ![Oikos Group case study](/_astro/oikos-case.CU5N7wJP.webp) ![Bosch](/_astro/bosch.Dm3WUh-J.svg) AI Companion ### Context that persists across sessions. An AI companion that remembers where the user left off. Not a chatbot — a persistent working partner that builds understanding over time. Bosch — Detail ![Bosch case study](/_astro/bosch-case.Da50gtFX.webp) Problem Every AI session starts from zero. Users re-explain context, lose thread, waste time re-establishing where they were. Solution Session-persistent AI companion with memory architecture. Picks up where the user left off, builds cumulative understanding. Result Dramatic reduction in context-setting time. Users treat the AI as a working partner, not a tool. Service AI Companion ![Bosch case study](/_astro/bosch-case.Da50gtFX.webp) ![Nui](/_astro/nui.BCDX7PBs.svg) AI Companion ### AI companion for complex consumer decisions. Guiding users through high-consideration purchases with contextual intelligence and personalised recommendations. Nui — Detail ![Nui case study](/_astro/nui-case.CKlE7MJX.jpeg) Problem High-consideration consumer decisions require deep product understanding and personal context. Solution AI companion that learns user preferences and guides through complex decision trees conversationally. Result Improved conversion rates and customer satisfaction through personalised guidance. Service AI Companion ![Nui case study](/_astro/nui-case.CKlE7MJX.jpeg) ![Voith](/_astro/voith.B7Wq-RVU.svg) Sales Enablement ### Full buyer context before the first call. Sales team sees the complete journey. Every touchpoint, every document downloaded, every question asked — surfaced before the conversation starts. Voith — Detail ![Voith case study](/_astro/voith-case.Dp4OQA-J.jpg) Problem Sales reps enter calls blind. Buyer history scattered across CRM, website analytics, and email threads. Solution AI-powered sales enablement that aggregates buyer journey into a pre-call briefing with context and talking points. Result Sales team enters every call prepared. Shorter sales cycles. Higher win rates on complex deals. Service Sales Enablement ![Voith case study](/_astro/voith-case.Dp4OQA-J.jpg) ![MING Labs](/_astro/ming-logo.D_wUBLvN.svg) Hybrid Org ### Our own hybrid organisation. Agents alongside experts, autonomous 24/7. Our own organisation as proof. We run what we sell — a hybrid organisation where AI agents handle structured work so humans focus on judgment and relationships. 60%+ of structured routine handled by agents MING Labs — Detail Problem A small expert team with enterprise-grade workload. Expert time consumed by reporting, inbox, pipeline management. Solution A named AI agent fleet (Lola, Cody, SM3CB, Martin, Vera, Joerg) operating 24/7 across sales, product, strategy, and operations. Result ~40% of expert time is structured routine — agents now handle 60%+ of it. Morning briefings, pipeline intelligence, overnight deliverables, all autonomous. Service Hybrid Organisation ![Hyperize](/_astro/hyperize-logo.1fVw8eDI.svg) Agent Experience ### 520 queries. 10 brands. 4 AI platforms. Hyperize — our venture for agent visibility. Understanding how AI platforms recommend — or ignore — brands when users ask for products and services. 0% brand citations on generic queries Hyperize — Detail Problem Brands have zero visibility into how AI agents recommend products. Even brands cited 86% of the time when named get zero citations the moment the query goes generic. Solution Platform that tracks brand visibility across ChatGPT, Gemini, Perplexity, and Claude for real purchase queries. Result Brands see exactly where they're invisible to AI agents — and get a roadmap to fix it. Service Agent Experience ## Your use case is next. We start with a workshop — half a day, three roles, one concept paper. No pitch decks. [Start a conversation](/contact?type=work) --- Canonical: https://www.minglabs.com/work Machine-readable index: https://www.minglabs.com/llms.txt