- “New research by Wunderman Thompson Commerce reveals that fewer than two in ten (16%) of UK consumers intend to return to their old shopping habits post-lockdown
- The impact of COVID-19 may also be a tipping point for ethical concerns with nearly three-quarters (73%) wishing that retailers and brands would offer better environmental practices. Over half (55%) of consumers say that a company’s ethics and morals play an important part in their purchase decisions”
“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.”
Image Credits: Jason Alden/Bloomberg / Getty Images
- “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.’”
“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%.”
Vue.ai – https://vue.ai
- “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”