Industry Sector

Retail

Demand forecasting, personalization, and in-store computer vision have very different infrastructure profiles — batch training in a data center versus low-latency inference near stores. Embedica sizes both sides of that split, including capacity for seasonal peaks.

Typical workloads

• Demand-forecasting training clusters, cost-optimized for batch jobs
• Real-time personalization and recommendation inference
• In-store computer vision — loss prevention, footfall analytics
• Seasonal capacity planning for peak-period scaling