Since tagging depends entirely on the retailer, this can be very confusing and inconvenient for consumers, especially if they don’t know brand jargon. I had to make my list up to 10, so I thought I’d include a rather more old school but essential use of optical character recognition (OCR). Computer vision (CV) has evolved tremendously over the years, adding exciting capabilities to the field of marketing. This approach uses a two-stage generator and a discriminator. Gergana worked as an IP Network Engineer before becoming a full-time freelance writer. Infrared cameras detect and capture people’s reactions during movie screenings. The scanner syncs with their Skin360 app, which analyzes your scans and determines your skin health. Add a comment below. Once you’ve got everything you need, you simply leave the store, with the Go app knowing what you have taken with you. This has profound implications when querying large sets of images, as Gaurav Oberoi suggests in a blog post, a user could ask the question “what kinds of things are shown on movie posters and do they differ by genre?”, for example. Instead of hiring new people every single time, brands can generate their own original content in a budget-friendly and efficient way. As CV continues to mature, marketers can anticipate many new and powerful applications to come out in the future. From lipsticks and eyeshadows to false lashes, consumers can try on every product that Sephora sells. Here, you can explore seven computer vision applications in marketing. All they have to do is upload a photo. Other companies in the emotional analytics space include Unruly, in partnership with Nielsen. There are many uses of this data, notably in safety, but they include tracking how busy a store is or tracking how long a queue / wait time is. Though this is still a long way off, many will already be familiar with the power of image search in Google Photos, which is trained to recognise thousands of objects, and with doing a reverse image search within Google’s search engine or in a stock photo archive. Recognizing branded images in social media and captioning them for marketing analytics is vital to marketers as it lets them understand customers’ interaction with a product, shows whether consumers make emotional connections with the brand, enables tracking of popularity and perception change over time. Image detection enables brands to see the threats and opportunities that influence their success. Of course, automated footfall counters have been available for a while, but advances in computer vision mean people tracking is sophisticated enough to be used in the optimisation of merchandising. For businesses, accessibility is far too often an afterthought in website design and optimisation. This means that as an alternative to using a standard filtering system, shoppers can select a product they like and be shown visually similar products. The software identifies complex facial cues and even predicts how moviegoers would feel at certain parts of the movies. Each product has numerous tags, which allows the customer to filter for particular attributes, but also allows recommendation algorithms to surface related products (these algorithms may also analyse behavioural and purchase data). Read on to discover cutting-edge opportunities to elevate your marketing efforts. In addition, Sephora uses AI to help consumers find the perfect products that match their skin tone. Learn about the cutting-edge AI research techniques for personalizing customer experience in our premium research summaries. Pinterest has an AI-based tool called Visual Search for visual product discovery, eliminating the need for manual tags. Marketers can then collect, organize, and assess that data to enhance their marketing efforts. They fed their data into the deep learning model, enabling it to recognize the qualities of good photos. It’s getting into the travel business to engage photography enthusiasts. Are you excited about the benefits of applying AI to your marketing activities? Merchandising in ecommerce is traditionally all about tagging. Sephora uses augmented reality and artificial intelligence to create virtual shopping experiences for their patrons. Pose-guided person image generation is one of the technology’s many applications. When it comes to social media marketing, many brands stick to the major players.