INVITATION ONLY - RED BADGER x NVIDIA BRIEFING
Built for humans. Demanded by machines.
Retail platforms were built by humans, for humans. Should we use AI today to build for what's coming tomorrow?
Hide & Seek Room, HIDE, Mayfair
12 May, 08:30 - 10:30 (with time for networking after)
Nearest Tube Station - Green Park
Over 250 million customers used Amazon's agent, Rufus, between January and November last year. Customers who interact with it were 60% more likely to complete a purchase.
UK retailers are already carving their path. One has added £80m in revenue from AI product recommendations... in six months. Another is running agents across 450 stores and clinics - not just ecommerce.
To capture the same advantages, retailers need to understand what agent-ready looks like and own the path to transform their architecture.
Red Badger and NVIDIA are bringing together retail technology executives to dig into what's needed and what's possible. Now, next and later.
Chatham House Rules. No slides . A curated room of leaders running technology at organisations where this question is real, hard to answer, and commercially critical.
The Key Questions:
How will you solve architectural limitations?
Agents don't browse. They make requests at machine speed, expect structured responses, and have no patience for a checkout that wasn't built to be called by another system.
What is your agent strategy?
Early headlines about ChatGPT and Perplexity not driving retail traffic are real.
But they're measuring the most passive route available - waiting for external agents to discover your catalogue and send traffic. Four routes exist and brand-to-agent is showing up as the weakest one.
How will you differentiate?
Two of the most advanced retailers in Europe went live with agentic commerce in 2025 via the same feature release.
If every retailer on that platform gets the same capability simultaneously, nobody has an advantage - the vendor shipped table stakes. The retailers building something durable are doing it one layer above the vendors.
Can you tackle a bottleneck at the business-technology interface?
AI-assisted architectural design means problems that used to look like three-year programmes can now be addressed in weeks. The build-versus-configure calculation isn't what it was two years ago.
Who this is for:
Retail CTOs, CIOs, and technology directors who know the problem is real and want a peer conversation, not another briefing about why agentic AI matters.
Especially useful if:
- Your MACH investment hasn't delivered the agility it was supposed to
- Your engineers spend more time on integration maintenance than on anything new
- You're not sure what your platform actually exposes to an agent
- You're interested in how agentic coding works in the enterprise
On the Day:
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08:30 Breakfast. A chance to meet who's in the room before it starts.
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08:50 The proof of scale. NVIDIA brings the data from where agentic commerce is live today, and what it reveals about the architectures that hold up.
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09:10 Why most stacks aren't ready, and what's changed. The architecture gaps, the disintermediation pressure, and why the build economics look different now.
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09:50 Open discussion. Chatham House Rules. What are you already trying? Where are you stuck? What would you build if the constraint were getting the specification right rather than finding the budget?
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10:30 Close.
About your organisers:
NVIDIA - The Platform Powering the AI Shift
NVIDIA is the infrastructure layer beneath many of the most ambitious retail AI deployments running today - from autonomous warehouse operations to customer-facing AI at scale. Their annual State of AI in Retail and CPG report tracks where the industry is actually moving, not where it says it's going. They're here to back the conversation with proof, not projection.
Red Badger - The Digital Product Consultancy for Large Scale
Red Badger helps modern enterprises continuously evolve their products and services. We work across global Retail and brand leaders (Fortnum's, Selfridges, Nando's, Levi's, JPMorgan Chase, Barclays).
The platforms and products we build drive critical revenue and business lines. We craft digital products customers love, build next generation platforms and embed new digital and AI capabilities across enterprises.
