Case Studies

Full breakdowns of how AI drove revenue at three very different companies — with the specific decisions, timelines, and frameworks behind each result.

Retail AI Fortune 100 • NYSE: BBY

Best Buy: $1B+ Personalization in 90 Days

Vendors quoted $20-30M for 18-24 months. We built it for $3.2M in 90 days. Conversion rates went from 1% to 17%.

$1B+ Revenue • 90-Day Build • 85% Cost Savings

IPO Restaurant Tech • NYSE: OLO

Olo: Data Architecture for a $3.6B IPO

Built the data governance and product infrastructure that held up under public market due diligence.

$3.6B Valuation • $20M Incremental Revenue • 80K Clients

Logistics AI North America's Largest • NASDAQ: CHRW

C.H. Robinson: Zero to $150M with AI

Started with zero data infrastructure. Built a 45-person team, launched 16 products in year one, and won Microsoft and John Deere.

$150M New Business • 45-Person Team • 16 Products in Y1

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Every one of these case studies has a matching implementation guide — the same frameworks, worksheets, and roadmaps, ready to apply to your own organization.

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