standard.ai
PaidThe data you've been missing is walking through your store
About standard.ai
Standard AI provides retailers and brands with actionable data by analyzing security camera footage in physical stores, similar to e-commerce analytics. Their VISION platform measures in-store impact, tracks shopper interactions, and analyzes product performance to maximize sales and shopper engagement. They offer solutions for retailers and brands to leverage existing cameras, validate in-store media impact, visualize shopper journeys, and optimize product placement.
How to Use
To use Standard AI, retailers assess their current camera setup, deploy the VISION software to process camera feeds, calibrate the system to their store layout, and then measure, optimize, and grow using the real-time shopper engagement data provided in an intuitive dashboard.
Standard AI's
Key Features
- Visual Engagement Score to measure shopper interaction
- Analysis of security camera footage for real-time insights
- Shopper and employee journey visualization
- Product performance analysis
Use Cases
- Retailers can maximize sales and shopper engagement by leveraging current cameras.
- Brands can track every shopper interaction and connect it to sales.
- Validating in-store media impact and proving ROI to boost media revenue.
- Tracking new product performance to refine messaging and placement.
Key Features
Pros & Cons
- Uses existing security cameras, minimizing additional hardware costs
- Privacy-first approach with no facial recognition and edge processing
- Provides verified impressions and real shopper behavior data, not modeled estimates
- Scalable across stores with minimal compute requirements
- Customizable zones to measure specific areas of interest
- Pricing requires contacting sales, no transparent entry-level plan
- Relies on existing camera coverage and quality for accurate data
- Requires initial calibration and setup to define zones and train models
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