Company Overview
- Leading US-based electronics retailer
- $46B annual revenue
Tech Overview
- 200M+ Identified customers
- 12k+ Transactions per second
- 10+ Customer interactions
Business & Technical Challenges
- Cross-channel insights are missing, incomplete or outdated
- Lack of personalization hinders sales
- Slow assortment / inventory rebalancing
- Static pricing results in missed revenue opportunities
- Data from cross-channel customer interactions siloed
- Numerous disjointed applications for different channels increase dev / maintenance costs
- Offline, batch data integration from disparate sources using legacy tech stack increases costs and reduces flexibility
- Unified 360° customer view across channels including transactions, returns, store and website visits and interactions, etc.
- Single, centralized data warehouse, standardized data pipelines and microservices based architecture drive lower costs and increased flexibility
- Layered data architecture uses core and extended profile, transactions and interactions to determine optimized data storage
- Extensive performance improvement plan – optimized data partitions, file systems and data storage, real-time querying, etc.
- Optimized real-time vs. batch processes to drive critical insights
- System capacity management – gauging and rebalancing based on concurrent users, background processes and response times
- Optimized cross-channel insights drive business growth and customer satisfaction
- Advanced personalization opportunities
- Customer-centric assortment and inventory management
- Optimized marketing / pricing
- 4% improvement in market share
- 10+% improvement in promotional spend
- Improved sales-rep productivity
- Streamlined market basket analysis
- Enhanced order online/pickup in store, store inventory tracking, identifying / marking down slow-moving inventory, etc
- NPS score improved by 8 points
