CASE STUDY · LUXURY CPG
AI Implementation Sprint for luxury CPG brands
YOUR JOURNEY
Coaching → Workshops → Sprint → AI Department → Innovation 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 CPGEngagement 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 →RELATED INSIGHTS
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.