In the ever-evolving landscape of technology, advancements continue to reshape industries. In this comprehensive update, we delve into the latest developments in the tech sphere, from Google’s pioneering generative AI features revolutionising online shopping to Meta AI’s bold integration of Google Search results.


Additionally, we explore Meta’s enhanced targeting options within Advantage+ Shopping Campaigns and Google’s introduction of 3D model markup in structured data, illuminating the ongoing innovation propelling the tech industry forward.


Google is exploring new generative AI features to enhance the online shopping experience for clothing. These innovative elements aim to streamline the product discovery process and provide a more immersive and personalised shopping journey.
The key features under testing include:


  1.  Related Style Recommendations: Users can provide feedback on similar styles by upvoting or downvoting them and suggest more relevant options.
  2.  Virtual Try-On: This feature leverages AI technology to generate realistic visualisations of clothing items on models across a diverse range of body types, from XXS to 4XL, enabling shoppers to get a better sense of how the garments would look on them.

Google has been conducting trials with these AI-powered shopping elements, and plans are underway to roll them out to a broader user base through its experimental shopping experience.


These advancements aim to streamline the online shopping process, enhance product discovery, and ultimately provide a more satisfying and tailored shopping experience for consumers.


Python is the undisputed king when it comes to AI development. Its simplicity, versatility, and extensive libraries make it the go-to choose for most AI projects. Master Python, and you’ll have a significant advantage in this rapidly growing field.


However, don’t discount other languages. A skilled programmer can work with AI using Java, R, JavaScript, or C++. These languages offer their own strengths and are widely used in various AI applications.


The age of generative AI is here, and the demand for AI developers is skyrocketing. Over 75% of companies plan to adopt AI technologies within the next five years, according to the World Economic Forum. Seize this opportunity by honing your skills in one or more of these programming languages.


The future belongs to those who can harness the power of AI. Don’t get left behind – start coding today and secure your place in this revolutionary field.


Meta AI has taken a bold step by integrating Google Search results into its AI assistant, making it the first to include search results from both Google and Microsoft. This assertive move determines Meta’s commitment to provide comprehensive and authoritative information to users.


Although the integration of Google Search results is a significant development, it remains to be seen how effectively this feature will be utilised. The ability to seamlessly access and present relevant search results from multiple sources could potentially elevate the user experience and solidify Meta AI’s position as a powerful and versatile assistant.


However, it is important to note that the true impact of this integration depends on the quality and relevance of search results. Meta AI must ensure that the search results are accurately curated and presented in a user-friendly manner to truly leverage the potential of this feature.


Regardless of the initial challenges, Meta AI’s decision to incorporate Google Search results is a clear statement of intent. It showcases Meta’s determination to stay ahead of the curve and provides its users with the most comprehensive and reliable information available. This assertive move could set a new standard for AI assistants and raise the bar for competitors in the industry.


Meta has rolled out an array of robust features designed to supercharge your targeting capabilities within Advantage+ Shopping Campaigns. Now, you have the tools to delve deeper into your audience, specifically focusing on those who have not yet converted.
Key highlights of this update include
Advanced Audience Insights: Harness this feature to effortlessly distinguish your actively engaged customers from the rest of your audience, empowering you to craft highly targeted campaigns.


Demographic Analysis by Audience: Dive into the Reports breakdown to uncover separate categorisations for New Customers, Existing Customers, and Engaged Customers, providing invaluable demographic insights for precise targeting.

While Advantage+ Shopping Campaigns delegate much of the targeting control to the platform, these newly introduced tools put the power back in your hands. Marketers can now confidently analyse the performance of their campaigns, accurately measuring the contribution of new customers versus existing ones and evaluating brand engagement among non-converting users.


The most recent media type available in structured data is 3D model markup.


Google unveiled this new media type in the “What’s New” section of Search Central.


This media type is intended for use with e-commerce websites, where some sites display 3D models alongside product descriptions to provide customers with additional information about the items being sold.


The purpose of the new addition is to make it obvious that the 3D model is associated with a specific product, as in the past, 3D models were often displayed on pages with multiple products, making it unclear which product was related to the model.