Why AWS built a no-code tool

“AWS today announced the beta launch of Amazon Honeycode, a new, fully managed low-code/no-code development tool that aims to make it easy for anybody in a company to build their own applications. All of this, of course, is backed by a database in AWS and a web-based, drag-and-drop interface builder.”

https://www.google.com/amp/s/techcrunch.com/2020/06/24/aws-launches-amazon-honeycode-a-no-code-mobile-and-web-app-builder/amp/

Image Credits: Jason Alden/Bloomberg / Getty Images

AI’s role in retail

  • “Domino’s uses artificial intelligence to determine its pizza delivery times and, in Australia and New Zealand, to monitor quality. Sephora’s ColorIQ scans shoppers’ skin to provide custom recommendations for foundation and concealer. Walmart’s Intelligent Retail Lab is experimenting with a number of artificial intelligence tools.
  • ‘retailers — except for the top ones — are struggling to find talent for an internal team to bring that kind of data science on board. There is a great push to find solution providers with AI embedded. It basically democratizes the capabilities that AI brings to the table.’
  • ‘Yes, in the long run, Amazon would love to think that everyone is using Alexa to shop but that’s not the real endgame. All the other uses — the queries, the questions, checking the score in the game, the weather — all of that data can begin to inform Amazon’s strategy and choices. It’s not simply about order data but being privy to some of the most intimate queries that customers are making.’”

https://nrf.com/blog/ais-role-retail

Amazon’s AI generates images of clothing to match text queries

“Scientists at Amazon describe a GAN that generates clothing examples to match product descriptions, which they say could be used to refine customer text queries. For instance, if a shopper searched for “women’s black pants” and then add the word “petite” and then the word “capri,” the on-screen images would adjust accordingly with each new word.

In experiments, the team reports that ReStGAN improved product classification by type up to 22% and gender up to 27%, compared with the previous best-performing models based on the StackGAN architecture. Color improved 100%.”

https://www.google.com/amp/s/venturebeat.com/2020/03/02/amazons-ai-generates-images-of-clothing-to-match-text-queries/amp/


Vue.ai – https://vue.ai

Amazon Is Testing an AI Chatbot That Generates Original Dialogue in Real Time

  • “Amazon is testing what may be the first commercial customer service chatbot to produce wholly original dialogue in real time using recent breakthroughs in AI language generation.
  • The randomized testing currently encompasses two types of interactions: return refund status requests and order cancellations.
  • Each of Amazon’s models are trained on data that spans 5 million conversation-response pairs culled from 350,000 past interactions”

https://www.google.com/amp/s/www.adweek.com/digital/amazon-is-testing-an-ai-chatbot-that-generates-original-dialogue-in-real-time/amp/

How SMEs can emulate the success of Amazon through ecommerce personalisation

“So much so that it was recently reported that they (Amazon) have more than a 30% share of the UK’s ecommerce market.

Here are just a few of the practices of Amazon which can be emulated by SMEs through investment in an ecommerce personalisation platform.

  • Personal references – ‘Hello John’
  • Recently viewed – link to their recent browsing history
  • Intelligent search – predict what products their customers are searching for as soon as a letter is typed
  • Recommenders – recommend other products
  • Product Recommendation Types – bundling recommendations into many different types
  • Cross selling and upselling – suggests additional purchases”

How SMEs can emulate the success of Amazon through ecommerce personalisation