Archives: FAQs
Trends for the future
From BOPIS and hyperlocal delivery to personalization and contactless checkout, we unpack top strategic imperatives to prepare for the store of the future
Learn MoreThe acceleration of digital transformation
Learn how the latest digital technologies are helping drive positive shopper experiences, at scale
Learn MoreRewriting operational models
Experts discuss how brand and retailers can modernize their operating models to enable more efficiency and stay pandemic-proof
Learn MoreOmni-channel as the new normal
Explore how to keep pace with the latest innovations in ecommerce, social, direct to consumer, and more to offer seamless experiences to always-on shoppers
Learn MoreIs the consumer’s privacy protected?
Trax has successfully passed security due diligence for leading global retailers and is GDPR compliant. Our camera system includes sensor alerts in the event of an occlusion (an obstruction in front of the camera) that contains a human presence. The system analyzes every picture to determine whether a human is present before uploading to Trax’s cloud. If a picture contains a person, it’s immediately discarded. The process is repeated until the camera captures a picture without an occlusion. The occluded images are deleted from the gateway server and the IoT camera device. At the end of the process, no photos of people are saved at the store or the cloud.
Learn MoreWho owns the data collected by the Trax?
Data ownership is a negotiable term in our contracts. Retailers and brands can own or resell the data we collect or adopt a shared ownership model with Trax.
Learn MoreHow hard is it to implement Trax’s image-recognition solutions?
A dedicated Project Manager and Analyst make setup, launch, and stabilization painless. To create your image database, we use your existing library or even build it from scratch.
Learn MoreCan the Trax platform be integrated with other systems?
Open architecture is a core tenet of our approach. We have successfully integrated our technology with SFA tools, BI systems, and data lakes. To ensure our solutions work seamlessly with clients’ ecosystems, we work closely with their tech teams on integrations.
Learn MoreIs human validation used?
The algorithm starts a new project with 90% accuracy and improves to 96% over the first few months, thanks to human validation. Humans continue to quality check to control for packaging updates.
Learn MoreHow does Trax measure image-recognition accuracy?
Every day, we take a sample of the images we collect and do a deep analysis of the recognition results. We aggregate the results and provide Accuracy reports every 3 weeks. You can learn more about the process in this video.
Learn More