Archived: JWO
JWO allows shoppers to shop as they normally do; nothing new is required. The system uses computer vision algorithms that use cameras throughout the store to automatically add up the items. Shoppers scan the code in on the mobile app on their way out, and the receipt arrives in the app.
Task
Create the most seamless checkout-free system that opens up the next generational leap for shopping experiences and removes obstacles for shoppers: making shopping delightful.
The leadership suite and myself identified improvements to the annotation suite as the biggest area for competitive gains. Using the DOKR framework and applying
service design principles, I led the design and product teams in overhauling the annotation engine to a more efficient system.<BR>
The improvements resulted in more than 50% cost and time savings, and faster annotation due to lower error rate and user frustration and fatigue.
We believe to be a team of creatives who are excited about unique ideas and help digital and fin-tech companies. But structure were from the funny the century rather, initial all the made, have spare.
Grow brands through bold and strategic creative, focused on searching new ways to showcase user content on digital support and envisioning the future arts.





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We believe to be a team of creatives who are excited about unique ideas and help digital and fin-tech companies. But structure were from the funny the century rather, initial all the made, have spare.
Grow brands through bold and strategic creative, focused on searching new ways to showcase user content on digital support and envisioning the future arts.
Labor savings of more than $1M at deployed locations.
8 minutes of time savings for each customer on average.
6% decrease in cart abandonments.
21% increase in customer retention.
Increase in the total volume of all checkout-free transactions from 6% to 10%.



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