CASE STUDY · LUXURY CPG

AI Implementation Sprint for luxury CPG brands

YOUR JOURNEY

CoachingWorkshopsSprintAI DepartmentInnovation Lab

This engagement combined an Implementation Sprint, executive workshops, and ongoing advisory for a global luxury consumer brand. Client identity is protected until explicit approval is recorded in our internal checklist.

AI for consumer brands and CPG

Engagement scope

  • Implementation Sprint + ongoing advisory
  • Six AI training modules and team upskilling program
  • 115+ use cases identified across seven business functions
  • Five priority use cases built, including a technician chatbot

Outcome

Average team AI comfort score increased from 4 to 8 (self-reported, post-training).

Why this model works for CPG

Luxury and CPG brands need brand-safe automation, not generic chatbots. The Sprint forces a shared ROI framework across marketing, ops, and IT before anyone writes code—so the first builds reinforce the brand instead of risking it.

RELATED CASE STUDY

For the honest follow-on — when strong proof of concept still doesn't ship — see our implementation gap story.

Read the luxury CPG implementation gap case study →

FREQUENTLY ASKED

Can you name the CPG client?
Not on the public site until client approval is complete. The outcomes above are accurate for the engagement; naming is gated by our client proof process.
What is the typical investment?
The AI Implementation Sprint is a $15,000 USD flat fee including discovery, workshop day, and written roadmap. Ongoing advisory and builds are scoped separately.