Markets | Retail

SiMa.ai in Retail

Boost revenue, reduce cloud costs, and improve in-store customer experience

Applications
Use Cases & Demos
Customer Stories

Smart Shelf Monitoring

How it works:

Cameras and sensors on shelves use AI to detect product availability, shelf gaps, or misplaced items in real time.

Benefits:

Reduces out-of-stock situations, enhances planogram compliance, minimizes manual labor for shelf audits.

Behavioral Analytics

How it works:

Physical AI cameras track foot traffic, dwell time, and customer interactions with products.

Benefits:

Improves store layout and product placement, enables personalized in-store marketing, ensures privacy by processing video locally.

Checkpoint Optimization

How it works:

Edge devices monitor checkout lanes and customer movement to predict and reduce wait times.

Benefits:

Reduces queue abandonment, improves staff allocation in real time, enhances customer satisfaction.

Loss Prevention

How it works:

AI-powered surveillance systems detect suspicious behavior (e.g., shelf sweeping, loitering, or concealed item handling).

Benefits:

Enables proactive security interventions, reduces shrinkage and improves asset protection, operates in real time with minimal cloud dependence.