GO
Images
to
AI-predicted analytics in seconds
PRE can model and predict
human engagement
with complex visual content (such as
web screenshots, in-store displays, videos, etc.).
These predictions can be used for A/B testing designs before implementation,
measuring user flows across multiple web pages, measuring engagement with video, or, across omni-channel user journeys
(e.g.
in-store ⇨ mobile ⇨ desktop-purchase).
PRE can also predict user flow in-store, which can
help
optimize in-store layouts/designs.
Contact us to learn more
This is what PRE can do:
A/B test design options based only on a screenshot
Instead of spending significant time and cost implementing an idea, get a sense of how well it will perform within seconds using only a screenshot/design/mockup.
Predict in-store engagement and customer journey flows
PRE is the first generative AI that can predict customer journeys in-store, enabling retailers to A/B test in-store design/setup options within seconds.
Predict multi-step user flows
PRE can predict the overall likelihood of specific user journeys across multiple steps (such as finding a service, interacting with the service, and making a post service action). This way, you can optimize the UX
with specific user flows in mind.
Predict omni-channel customer journeys
Now you can predict omni-channel journeys, for example, by measuring ratio of shoppers that explore in store, then search on mobile, and finally buy on desktop.
Predict product engagement in video ad or social post
With PRE, you can get a quantitative measure of exposure of a product or service
in a video segment. For example, you can predict how much engagement you are likely to get from an influencer video post, or, from
a video ad.
Measure real-time engagement across retail channels
Predict engagement stats for any brand/product (even competitors) across all retail channels:
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