Retailers use artificial intelligence (AI) to look at product images and information about what customers are browsing in real time, along with their previous buying patterns, to make accurate and personalized recommendations. AI also allows retailers to use dynamic pricing that is adjusted to make sales based on the customer’s location, characteristics, and habit. For example, even after a purchase is made, AI can offer accessories, warranties, and other logically related items.  Al helps marketers understand the behaviors of their audience and analyze marketing placement to make certain that ads and campaigns are effective and are served appropriately.


AI is making online shopping even easier. Zalando (shoes and fashion), Pinterest (recipes and home ideas), and Omnious (fashion) speed up shopping with AI. Online retailer Zalando uses deep learning and GPUs in its extremely efficient Optimal Cart Pick algorithm. Pinterest uses AI to streamline its shoppers’ “pin” searches and identify best matches. Omnious has engineered an AI-driven, automated tagging engine that tags fashion images 100% faster than humans can. (e-commerce), Modiface (beauty apps), and Olay (skin care) use AI to empower savvy shopping. With AI optimizing suppliers, warehouses, and offers, can fulfill orders at the best prices possible. Modiface combines AI and modeling technology to let customers experiment virtually with makeup before buying. Olay has created an AI-powered tool to help customers find the perfect products for their skin types.


Criteo (internet advertising), a British grocery giant, and KLM (airline) use AI to generate positive shopping experiences. With Criteo’s AI-based predictive data analytics, $55 billion is produced by online ads that target shoppers with products they want. A British grocery giant developed an AI-optimized warehouse that perfects and streamlines customer orders, and KLM engages in 15K weekly social media conversations with the help of DigitalGenius’ AI technology.


NetApp, the data authority for hybrid cloud, and NVIDIA, the leader in compute for AI, are enhancing the retail industry in innovative ways to transform shopping into a faster, smarter, and more rewarding experience. Learn how data visionaries and online merchants are joining forces with NetApp and NVIDIA to apply AI and deep learning to overcome countless business-critical retail shopping challenges.

Mike McNamara

Mike McNamara is a senior leader of product and solution marketing at NetApp with 25 years of data management and data storage marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and HP. Mike was a key team leader driving the launch of the industry’s first cloud-connected AI/ML solution (NetApp), unified scale-out and hybrid cloud storage system and software (NetApp), iSCSI and SAS storage system and software (Adaptec), and Fibre Channel storage system (EMC CLARiiON). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events. Mike also published a book through FriesenPress titled "Scale-Out Storage - The Next Frontier in Enterprise Data Management", and was listed as a top 50 B2B product marketer to watch by Kapos.

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