An End-to-End Approach for Digital Retail

NRF 2014 in New York City is the biggest event of the year for Intel’s Retail Solutions Division. We welcome Jose Avalos, Director of Visual Retail at Intel, to share highlights from this year’s show and talk about providing infrastructure to the full range of today’s retail solutions. – Valerie Scarsellato, aka @Intel_Chick, Marketing Specialist, IoT Solutions Group

Jose Avalos, Director of Visual Retail at Intel

Those who attended NRF 2014 saw firsthand just how quickly retail technology is evolving, and felt the energy from an industry that will change more in the next 10 years than the last 50. It’s apparent that retail is more personalized, more engaging, and more entertaining than ever, but there is more going on than meets the eye. Brick-and mortar stores have quickly learned from the online retail world how to use data analytics to connect with and retain customers by offering the right product at the right price, time, and place.


At the Intel booth this year we showcased 17 different solutions covering the spectrum of retail technology that can be deployed today in a retail environment. Highlights included a wall of tablets with solutions for the retail mobile workforce, a body-controlled MemoryMirror* for comparing multiple outfits, and a shop anywhere solution for buying products from TV and receiving personalized offers on your phone.

As retail devices become more intelligent, they’re collecting more data, sharing more data with other devices, processing more data at the edge, and sending more data to the cloud. This is driving new revenue opportunities in real time, such as digital signs powered with Intel® AIM Suite that serve up ads based on the audience in front of them. Data processed in the cloud can help brands do things like aggregate content, schedule campaigns, and deliver content through the network. Intel® Retail Client Manager (Intel® RCM), which powered several of the demos in the NRF booth, is an intelligent software solution for remote management that reaches targeted audience segments on any kind of screen.

This year, we’ve taken end-to-end analytics even further through a series of studies on large datasets from the Natural Food industry to understand and measure how data analytics can help identify complementary products, recognize new sales trends, and improve supply chain management. By applying data analytics, we were able to demonstrate increased sales per visit, reduced overstocks, and even predict when products may go viral on social media.

For the last five years we have invested in developing relationships with retail brands and worked with them to solve key challenges. It’s been very rewarding to see Intel technology become a key ingredient across all digital touch points with the consumer as well as address the needs of the brands and the retailers. I’m excited to work with brand and retailers to advance the personalized shopping experience in the years to come.

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