Adobe’s Tatiana Mejia: “Create your own chance at bat.”

“Adobe Sensei, our AI and ML technology, is purpose-built for digital experiences and focuses on three intelligence domains: creative, content and experience. Today, it is powering dozens of features across all of Adobe’s products, but I am most excited about what is coming next. For example, we are working to infuse AI into new mediums like augmented reality (AR).”

https://www.google.com/amp/s/thriveglobal.com/stories/adobes-tatiana-mejia-create-your-own-chance-at-bat/amp/

AR Shopping Apps to Help You Avoid Buyer’s Remorse

“We’ve all become accustomed to online shopping, but it has its limits. Every full shopping cart comes with it the risk of a letdown when your order arrives. The color, the size, the look, any number of things could be off and require the most dreaded of tasks: returning through the mail.

Enter augmented reality. With the help of developer tools like Apple’s ARKit to Google’s ARCore, apps are becoming more immersive. It’s slightly surreal to see pieces of furniture popping in and out of your living room or different shades of lipstick showing up on your lips. Check out some of our favorite AR-enhanced apps below.”

https://in.pcmag.com/software/109016/ar-shopping-apps-to-help-you-avoid-buyers-remorse

AI as Stylist, Assistant, Life Coach: ai eCommerce

  • “Who do you turn to when you can’t decide what to wear? Your best friend, maybe. Instagram, probably. Fashion magazines, maybe. But soon, perhaps, it will be none of the above. Instead, you will try on an outfit, turn to a wall-mounted, five megapixel camera with front lighting and dual-antennae WiFi connectivity, and ask: “Alexa, how do I look?” and within a few seconds the 1.6 watt speaker will deliver the data-driven, empirically-founded assessment.
  • The metric of a style algorithm that is based on likes, whether fed to you as feedback on your selfies or as a subscription box of suggested seasonal choice of clothes, will steer you towards a polished, palatable, mainstream look. “If the algorithm is based on mass approval, it is not going to propose you wear a weird top with one sleeve,” says Alistair O’Neill, professor of fashion at Central St Martins.
  • Stitch Fix: This is a online personal styling service, primarily available to clients in the United States, which sends its 2.7 million active American clients ‘suggestion boxes’ of clothes chosen by cross-referencing a client’s stated preferences with the recent purchases of others of similar age and demographic.
  • They could be programmed to surprise. Brad Klingenberg, vice-president of Stitch Fix, states that the aim is to “delight” clients, rather than just please them, suggesting an element of the unexpected.
  • But maybe the truth also is, we are more like the robots than we’d like to think. “The majority of people have already developed an algorithm for style, even if they don’t think of it like that,” says Simon Lock, founder and CEO of Ordre, which offers fashion buyers a digital, streamlined alternative to physical showrooms. “For instance, I wear black and white, a slim fit silhouette, always Thom Browne brogues. Essentially, the eye captures a look and the brain informs the wearer whether you like it or not based on history and personal taste. Artificial intelligence is perfectly suited to perform this role for us.”
  • “Online shopping, as we know it, is a lousy experience, because you are essentially looking at an inventory. One day in the future you will be sitting on your sofa next to a virtual Diana Vreeland, or Alexa Chung, who will be talking you through the selection of virtual clothes,” she says.
  • Retailers are already experimenting with incorporating data from your calendar — about a future trip, and what the weather forecast is for that location, for instance — into what gets served up as cookies. Artificial intelligence could sprinkle fairy dust on the online shopping experience, so that instead of scrolling through a hundred skirts, you are matched with one you fall in love with. “The entire industry is focused right now on what the consumer-facing aspect of AI in retail will be. It has to be something meaningful.”
  • “I think it’s inevitable that pretty soon we will each be represented in the digital sphere by an avatar,” Hackford says. ‘It will compare available prices on everything you want to buy. It will sit in the hold queue on the phone to buy a train ticket. It will do all the things that technology does better than you can and allow you more time for being human.”

https://gulfnews.com/world/americas/style-assistant-to-help-you-decide-what-to-wear-1.60625182

Amazon and aieCommerce to impact 7M jobs and 25% of malls (Dr. Tu-Lam Pham)

Overview:

  • How to compete with Amazon
  • Win through direct to consumer model: Casper Mattress, Warby Parker glasses

Keys:

1) Good Value

2) Easy Returns

3) Utilize data – “Data is the new oil”

4) Simple Marketing – Mobile First, Social, Content; “Don’t buy media, create media”

5) Adopt New Tech Early

– Messaging apps are the new internet

– Augmented reality

Fast-forward to interesting points:

7 min – Friction and UX

10 min – Retail jobs eliminated 7M

30 min – Example – Friction in pizza business

https://youtu.be/Kxr0nplICHE

Domino’s AR Pizza Chef Turns Visualization Into Ecommerce

“In fact, Domino’s has traditionally been an early adopter of technology, integrating the latest gadgets into their marketing strategy. Hungry customers have been able to track their pizzas for a decade now. The brand introduced “Dom,” an AI pizza ordering assistant in 2014 and earlier this year, began testing it as a replacement for human phone orders.

Other efforts have included a Facebook chatbot and its AnyWare initiative, which allows users to order a pizza just by texting a pizza emoji.”

https://www.alistdaily.com/technology/dominos-ar-pizza-chef/

Voice-first, AI, AR: Three technologies race to again change how we shop – GeekWire

(Pixabay / mohamed_hassan Image)

Subscription commerce is particularly ripe, especially that focused on product curation and sampling. The frequent repeat nature of a subscription service lends itself particularly well to AI. Your steady stream of preference data is all the fuel it needs to generate smart recommendations.

In this regard, Stich Fix is ahead of the curve using a combination of data sources including Pinterest board image scanning, style quizzes, textual customer feedback, and more. Its AI-driven recommendations are then passed onto a human stylist for final approval and the personal touch – a note to the subscriber. It’s not hard to see how the Stitch Fix approach could be applied to other verticals. 

https://www.google.com/amp/s/www.geekwire.com/2018/voice-first-ai-ar-three-technologies-race-change-shop/amp/