Edward Chenard - AI Revenue Strategist

Edward Chenard

AI Revenue Strategist & Framework Creator

Minneapolis, Minnesota

Edward@echenard.com

Edward Chenard is an AI revenue strategist who has generated over $2.5 billion in revenue through 100+ product launches — and now publishes the playbooks behind that work.

He is a pioneer in enterprise GenAI, having launched the industry's first logistics LLM in 2022—18 months before ChatGPT. He combines rare dual expertise in Product Leadership (PLG, GTM, Agile) and AI/Data Strategy (RAG architecture, LLM orchestration, data monetization).

His clients include Series B+ startups, PE-backed growth companies, and mid-market firms seeking enterprise-grade capabilities without full-time executive costs. He led product strategy for Olo's successful $3.6B IPO (NYSE: OLO).

Edward is based in Minneapolis, Minnesota and works 100% remotely with clients across North America, Europe, and Asia.

$2.5B+
Revenue Generated
300+
Team Members Led
100+
Products Launched

Professional Experience

Head of Emerging Technologies & Data Products

Best Buy

Fortune 100

Built the personalization platform that generated $1 billion+ in revenue.

  • • Generated $120M revenue in year one, growing to $1B+ over 3 years
  • • Delivered platform for $3.2M vs vendor quotes of $20-30M (85% cost savings)
  • • Improved conversion rates from 1% to 17%
  • • Achieved profitability in under 4 months
  • • Led cross-functional team of 50+ engineers, data scientists, and product managers

Data Advisor to CIO/COO

CH Robinson

$15B Revenue

Built AI-powered logistics capabilities from zero infrastructure, generating $150M in new business.

  • • Generated $150M in new business before platform completion
  • • Won Microsoft and John Deere as enterprise customers
  • • Built 45+ person data organization from zero
  • • Launched 16 new data products in first year
  • • Established data governance framework for regulatory compliance

Head of Data and Analytics

Shipwell

Series B Startup

Transformed analytics from cost center to revenue driver, achieving 20% revenue increase.

  • • Achieved 20% revenue increase by monetizing analytics capabilities
  • • Launched logistics LLM product before ChatGPT wave
  • • Reduced operations costs to $2,500/month vs competitor $100K
  • • Improved reporting time from 12 hours to 6 minutes
  • • Built and mentored high-performing data team

Areas of Expertise

AI Strategy & Governance

  • • AI roadmap development
  • • AI governance frameworks
  • • Ethics and bias mitigation
  • • Regulatory compliance (EU AI Act)

Data Team Building

  • • Org design and hiring
  • • Role definition and leveling
  • • Team mentorship
  • • Culture development

LLM & AI Implementation

  • • LLM selection and deployment
  • • Cost optimization (40-85% savings)
  • • RAG architecture
  • • Prompt engineering

Data Products & MLOps

  • • Data product strategy
  • • ML pipeline architecture
  • • Production deployment
  • • Monitoring and observability

Get the Playbooks

Every framework on this site comes from real work at these companies. The implementation guides give you the worksheets and roadmaps to apply them yourself.

Browse All 7 Guides Read the Frameworks Free