From storefronts to shopping agents: Ecommerce

on YouTube ↗16m

" summary

Moved the storefront from an Angular/Kubernetes stack to Next.js on Vercel, dropping time to first byte 40% and cutting a sample checkout journey from ~2 minutes to 30 seconds (75% reduction). Runs ~5 million monthly ad requests and 330k orders, with ~5 billion edge requests overall. Results: ~10% YoY conversion lift, NPS +32%, e‑commerce share +19%. Built a Vercel-generated back office, AI translation and product onboarding flows, and prototypes using npx eve and Vercel integrations.

AI-written summary · about

" chapters (15)

1. 0:00Elkjøp’s ecommerce challenges
2. 1:10Elkjøp’s business overview
3. 2:32Ecommerce architecture evolution
4. 4:15Customer experience problems
5. 5:39Vercel’s performance impact
6. 6:43Customer journey improvements
7. 7:46Business growth metrics
8. 8:51Infrastructure enables AI
9. 9:55AI back office acceleration
10. 11:39AI tools to working software
11. 12:42AI in translations processing
12. 13:46Intent-based ecommerce future
13. 14:52Engineers’ role in AI era
14. 15:34Elkjøp’s transformation phases
15. 16:16Key takeaways

" related talks

• 19mFireside Chat: Building Agentic StorefrontsTom Occhino, Vanessa Lee · Vercel Ship 26 New York City
• 18mAutomating 90% of support tickets: How we built Vercel's support agentKathryn Middleton · Vercel Ship 26 New York City
• 56mOpening KeynoteTom Occhino, Guillermo Rauch, Malte Ubl, Shar Dara, Jeanne DeWitt Grosser · Vercel Ship 26 New York City
• 25mBuilding high performance, AI-native engineering teamsJared Palmer · LeadDev London 2024
• 34mRethinking the future of digital transactionsJeanne DeWitt Grosser, Kate Jensen, Arjun Rajeswaran, Jeff Weinstein · Ship AI 2025
• 01mRecapVercel Ship 26 New York City
• 46mBecoming an AI engineering companyMalte Ubl · code.talks 2024
• 18m1,200 analytics requests a day: Clay and Vercel's Bet on AI-Native AnalyticsAbhi Sivasailam, Josh Hanson · Vercel Ship 26 New York City