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Patrick B.PB

Patrick B.

AI Automation Expert | Productive Multi-Agent Systems

€1,100/day
Zürich, CH
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Patrick

Entrepreneur, Operator, AI Architect - 25 years of own companies. I don't build concepts. I build systems that run in production.

TRACK RECORD
Scaled an international furniture production and trading company to nearly 100 employees across multiple European locations over 12 years. International sourcing in China (CIFF Guangzhou, Shanghai Furniture Fair), marketing at IMM Cologne. In the last three years: fully digitized modern manufacturing setup - BOM down to screw level, piece-rate based time tracking and payroll system, fully automated order-to-production chain from Amazon/Shopify directly to the factory, AI-powered production data analysis. Strategic exit in 2024.

TODAY - TWO ACTIVE PROJECTS

Own Venture: AI-Native Brand Intelligence Platform
Proprietary competitive intelligence infrastructure for premium brands. Hierarchical multi-agent system with 40+ autonomous agents (Minions, Supervisors, CEO Agent), organized into 9 departments with their own inbox and messaging layer. Two coupled Postgres databases: 80 tables, 93 views, 2,971 data fields. Semantic AI queries via pgvector across all signal sources. Squeeze methodology: each agent must deliver 10 new findings per run, repetitions excluded - forcing AI into continuous discovery. Customers access via MCP in chat instead of dashboards.

Strategic Transformation Mandates for Premium D2C Brands
Brand transformation plus AI company architecture - from Shopify seller to community brand with fully automated operations across orders, customer emails, inventory, warranty, and predictive analytics.

STACK
Claude (incl. Claude Code), GPT/OpenAI, Supabase (PostgreSQL + pgvector), Apify, Playwright, Make.com, n8n, HubSpot, Shopify, Microsoft Copilot, MCP.

EDUCATION
Certified Marketing Planner with Federal Diploma of Higher Education.

PRINCIPLE
Systems that run in production, not concepts that remain in presentations.
  • German

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • AI-Native Brand Intelligence Platform (eigenes Unternehmen)
    Founder - AI-Native Market Data Infrastructure for Premium Brands
    DIGITAL AND IT
    October 2025 - Today (10 months)
    Zürich, Switzerland
    Building a proprietary brand intelligence platform for the global premium consumer goods market. Consciously NOT a classic SaaS - with deep market data, semantic chat access via MCP has more future than dashboards.

    WHAT THE SYSTEM DELIVERS FOR MARKETERS

    Meta Ads: Country overlay (who targets which markets), age segment heatmap, gap detection with low CPM, creative pattern analysis across competitor creatives.

    Instagram & Social: Post/story performance as a spiderweb, retargeting intelligence across the funnel, collaboration detection (brand collabs, influencers, cross-promotions).

    Competitive Intelligence: Keyword-to-campaign mapping, sentiment correlation in press/PR, real-time strategy change detection.

    Hierarchical Agent Architecture (Production, Not Hobby Demo)
    Minions, Agents, Supervisors, and CEO Agent organized hierarchically, each with its own inbox and messaging layer. Supervisors review agent proposals, CEO Agent aggregates for human final decision. Decision Log and Knowledge Base as shared memory.

    Squeeze Methodology (Stripe-like): Minions must deliver 10 new findings per run, no repetitions - forcing AI into continuous discovery instead of pattern repetition. Finds market gaps a human team would never see.

    21+ Tool Integrations: Meta, Instagram, YouTube, Reddit, Trustpilot, Apify +20, Playwright, Gmail, Granola, Attio, Media, Firecrawl, LinkedIn, Claude, GPT, Make.com, n8n, MCP.

    Data Architecture Scale (2026)
    Two coupled Postgres databases (Data + Agent Ops): 80 tables, 93 views, 2,971 data fields. Field depth: YouTube 57, Instagram Stories 40, Meta Ads 29. Semantic AI queries via pgvector across all signals.

    FUTURE MODEL - NOT SAAS, BUT SEMANTIC CHAT
    Customers ask via MCP in natural language — answers in seconds, not dashboards, but conversations. Blueprint 1:1 transferable to any industry with public market signals.
    Multi-Agent AI Systems AI Automation Competitive Intelligence Marketing Analytics Data Analytics
  • Premium D2C-Marke im Luxussegment (vertraulich)
    Strategic Partner — Brand Transformation & AI Company Architecture
    LUXURY GOODS
    November 2025 - April 2026 (5 months)
    Berlin, Germany
    Strategic transformation partner for a premium D2C brand in the luxury segment — repositioning from a transactional Shopify seller to an engagement-driven community brand with AI-first operations.

    Brand Transformation:
    - Complete website relaunch as a community platform instead of a classic e-commerce shop
    - Membership program to activate the existing customer base — focus on engagement rate and customer lifetime value instead of pure transaction conversion
    - Strategic shift from "seller model" to "community model" — the difference that decides on pricing power and growth in the premium segment

    AI Company Architecture:
    - Central AI layer across all operational channels: orders, customer emails, inventory, warranty processing
    - Autonomous customer service bot for standard inquiries and warranty cases with clear escalation logic
    - Semantic queries across all company data — order history, communication, product data in a unified data layer (Supabase with pgvector)
    - Predictive Layer: product sell-out forecast, second purchase probability per customer, repurchase cycle analysis
    - Managed flows across all inputs and outputs — email, orders, inventory movements, membership interactions

    Goal: A complete AI company that operates autonomously, allowing the founders to focus on product and community.

    Technical Basis: Supabase, Claude, Make.com, Shopify API, Multi-agent orchestration. The specialty: combination of strategic brand work and technical AI architecture from a single source.
    Multi-Agent AI Systems AI Automation
  • Eigenes Unternehmen
    Founder & CEO - International Furniture Production (100 Employees) & AI Manufacturing Pioneer
    RETAIL (LARGE RETAILERS)
    July 2012 - December 2023 (11 years and 5 months)
    Danzig, Poland
    Building and managing a furniture production and trading company for over 12 years — from founding to a European production facility with nearly 100 employees. Strategic exit in 2024.

    Core Responsibilities:
    - Entire P&L, strategic and operational management
    - International sourcing in China (CIFF Guangzhou, Shanghai Furniture Fair), Asia-Europe supply chain, exhibition at IMM Cologne
    - Building and scaling the European production with nearly 100 employees

    MODERN MANUFACTURING — THE LAST YEARS

    Fully digitized manufacturing setup with end-to-end automation from customer click to work order — far beyond what Shopify covers at SKU level:

    - Bill of Materials (BOM) for each product: complete parts lists down to screw level, each variant individually calculable with components, materials, and cost drivers
    - Fully automated order-to-production chain: Amazon and Shopify orders run directly into the production platform, BOM automatically triggers supplier orders — no manual intervention
    - Piece-rate based time tracking and payroll system: transparent accounting based on production output, automatic calculation of personnel costs per product
    - AI-powered analysis of production data: pattern recognition in lead times, margin fluctuations per category, automated reordering logic

    Strategic Direction: I recognized the structural change in European manufacturing early on — labor costs are converging, origin labels influence purchasing behavior. The controlled exit came in 2024.

    This phase shaped two things: operational excellence at the production level and consistent experience with AI automation in a supposedly "analog" industry. I bring the same mindset today — building systems that run in production, not in PowerPoint.
    Supply-Chain Management Manufacturing International Business Business Management Operations Management

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Education

  • Certified Marketing Planner with Federal Diploma of Higher Education
    Federal Diploma of Higher Education / Swiss Confederation
    2004
    Eidgenössischer Fachausweis — gesetzlich geschützter Berufstitel gemäss Bundesgesetz über die Berufsbildung. Eine der anerkanntesten Marketing-Qualifikationen im Schweizer Berufsbildungssystem. Die Ausbildung umfasst die strategischen und operativen Kernbereiche des Marketings: • Marketingplanung und -strategie (Segmentierung, Positionierung, Markenstrategie) • Marktforschung und Marktanalyse (qualitativ und quantitativ, Wettbewerbsanalyse) • Integrierte Kommunikation (Werbung, PR, Direktmarketing, Verkaufsförderung) • Marketing-Mix und Produktmanagement • Vertriebsstrategie und Sales Operations • Budget-Planung, Marketing-Controlling und KPI-Definition • Kunden- und Zielgruppen-Analyse Neben theoretischem Fachwissen setzt die eidgenössische Berufsprüfung mehrjährige praktische Marketing-Erfahrung sowie eine schriftliche und mündliche Abschlussprüfung voraus. Der Titel ist in der Schweiz gesetzlich geschützt und international über den Qualifikationsrahmen vergleichbar mit einem Bachelor-ähnlichen Berufsabschluss.

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