Pixel Tablet for Retail
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With its long battery life and Google Gemini AI tools, the Pixel tablet is ready for a wide range of retail use cases.
Today we’re talking about the Google Pixel Tablet with an 11 inch display and the Tensor G2 processor. This device has a long lasting 12 hour battery, which is making it very easy to do the Google AI, accurate voice typing and efficient multitasking and more. The Tensor G2 processor runs Google’s machine learning models with less power and latency, and it makes the Pixel tablet faster and more helpful than ever. This features Google’s latest advanced speech recognition so your Pixel Tablet understands how you speak.
Security is very important and the Google Pixel tablet features a tighten M2 Security Co processor. Anti phishing and anti-malware protection are a large part of what makes the Android ecosystem very important in a security perspective. It features automatic security checks and privacy controls that are very familiar for many people in the ecosystem. Android also features backup encryption, meaning that you can still backup your device to the cloud and all the ease of that provides while having confidence that it is encrypted and secure.
The Pixel tablet also comes of course with the ability to run the Google Gemini. This platform is very powerful because it goes beyond understanding text. It can parse images and audio to or also known as a multi modal language model. Google is focused on integrating Gemini with its Android platform in every way it can, so retailers should be thinking about when choosing hardware.
AI use cases in retail do take up more power, more battery usage, more processing power, and more memory on the device. So when picking your next generation device, make sure you’re picking ones that have best specs possible so you’re able to take advantage of the AI features. Thinking specifically about retail, there’s many use cases where the AI assistant can be very helpful.
One of those use cases could be workflow automation. When an associate has a question on the floor, they could ask an AI assistant and get a quicker answer for the retail customer. In this instance, the associate was able to ask how to get extended warranty registration information.
Another use case where AI could be useful is personalization in selling. This is an instance where it has brought together information about the customer and their searching history to allow the associate to better support the customer in the store. Together with Google and Pixel, Stratix is able to provide our retail customers a great insight into the devices they can use to make AI real in their retail use cases.
If you’re interested in learning more, please reach out to Stratix today.
