standard.ai
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Rating
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Core 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.
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.
FAQ
Does Standard AI require new cameras?
No, Standard AI maximizes visibility with your existing cameras. They assess your current setup to identify any gaps in coverage, ensuring complete visibility into shopper behavior.
How does Standard AI ensure privacy?
Standard AI is privacy-first and uses no facial recognition. Shopper information remains on-premise, protecting individual identities while still delivering valuable insights into shopper behavior.
What kind of results can I expect from using Standard AI?
You can expect to see real-time shopper engagement, product interactions, and promotional performance – all in an intuitive dashboard. This data can help you optimize product placement, validate in-store media impact, and enhance the customer experience.
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