Out-personalizing your competitors.
Now, back to those visionary ideas around personalization at scale in retail. Although not every retailer is ready for cutting-edge AI-driven personalization at scale, some are — and it’s increasingly how they’re breaking out from the scrum.
Adobe is leading the way in next-gen personalization at scale. Just as importantly, we’re adapting it to the specific needs of retailers. For example, at NRF 2018, we previewed something brewing in our research labs — the ability to segment and message customers inside a store. This will allow retailers to identify in-store shoppers based on qualities such as loyalty, last visit date, or shopping preferences — and then push real-time in-store offers within the retailer’s mobile app based on that data.
Our AI framework, Adobe Sensei, is not only rapidly expanding the possibilities for retail experiences, it’s also streamlining and improving how they’re created. For example, the Sensei-powered Smart Crop intelligently detects and crops the focal point in any image, automatically adapting that image to each and every screen size. This streamlines the content creation process for retailers, which is essential to achieving personalization at scale.
In the next article in this series, we’ll dig into the many ways retailers are turning AI and machine learning into high-performing, brand-building, and loyalty-enhancing personalization at scale — and how they’re driving the next era of personalization at scale for retailers.
Read the next article in our series, "Artificial intelligence, authentic retail personalization at scale."