Homegrown Technology at Scale
summary
Target runs about 2,000 stores and a platform that handles 500,000+ orders/hour with ~150 ms 99th-percentile latency, splits technology into distinct retail and data & analytics platforms, and powers a $1.5B retail media network. Marketing Tech builds an internal Asset Hub storing millions of images and a Style Hub 3D visualization tool that creates lifestyle scenes to replace costly photo shoots; registries exceed 1.5M new setups and ad ROAS tops $8, showing the systems scale and drive measurable revenue lift.
AI-written summary · about
chapters (7)
- 0:00Introduction and context
- 2:07Business growth and domains
- 6:22Technology structure and platforms
- 11:38Digital asset management
- 13:43Asset Hub and reuse
- 15:08Style Hub and 3D visualization
- 16:55Collaboration and innovation
related talks
15mBehind the Price Tag: Architecting for a Billion Prices
53mBusiness transformation through data and ML
24mBig data changes customer engagement: Is your MarTech ready?
25mBuilding A Feature Store For Hyper Growth
24mRetail Transactions at scale for AI - From PoC to production
27mEnterprise AI at Scale: Success Stories and Insights
20mRethinking technology at large enterprises
22mData Ecosystem to power AI