BigCommerce and BloomReach Partner to Extend Content and Commerce Capabilities to Mid-Market and Enterprise Retailers

“This collaboration combines BloomReach’s open-source content management system and AI-powered Search & Merchandising with BigCommerce’s highly-extensible SaaS ecommerce engine, offering merchants globally a better way to build immersive, content-rich, personalized brand experiences and robust commerce functionality at scale.”

https://www.oaoa.com/news/business/article_8a0417a8-eee6-59e1-b3a8-613b8b541295.html

Alibaba AI Helps Mobile Engagement

“It now has 529 million users, up by 22 million more people. The use of AI has improved not only the content provided by Alibaba, but also in how people search for products.
The secret to this is really simple. AI has made product search more precise.

This is done through a variety of ways, from machine learning, deep learning, transfer learning and much more. Computers learn a shopper’s preferences whenever someone would type in the product being searched for.”

AI Vendor Research: Unbxd


Vendor: Unbxd
Headquarters: Mountain View, CA & Bangalore, India
Key Product:
Machine Learning Site Search & Merchandising
Product Recommendations
Articles about Unbxd:
Clients:
Express, Ashley Homestore, HSN, Bed/Bath/Beyond, rue21
Founders:
Pavan Sondur, CEO & Co-Founder, LinkedIn Profile
Prashant Kumar, Founder, LinkedIn Profile
Case Studies / Data:
Differentiator:

Unbxd offers a Site Search Speed Test Report and a Free Commerce Search Study to analyze your customer experience.

AI, Visual Data, Semantic Search and the Fashion Industry

“Major technology companies and new startups are at war over having the most valuable artificial intelligence and at the core of this war is having unique high quality visual data.
Fei-Fei Li, Director of the Stanford University Artificial Intelligence Lab and Chief Scientist AI/ML at Google Cloud says, ‘As nature discovered early on, vision is one of the most powerful secret weapons of an intelligent animal to navigate, survive, interact and change the complex world it lives in…The only path to build intelligent machines is to enable it with powerful visual intelligence…While many are searching for the ‘killer app’ of vision, I’d say, vision is the ‘killer app’ of AI and computing.’
Computer vision expert and Professor Computer Vision at Cornell Tech, Serge Belongie says ‘A majority of the human brain involves processing of visual data, for purposes such as scene interpretation and spatial navigation. Visual data is central to the way we learn about the world, and it follows that the pursuit of intelligent machines will require substantial advances in our ability to process and interpret visual data.’”
“Two separate research studies, funded by Apptus and carried out by IMRG and Hive, have found that fashion retailers are planning significant investment in artificial intelligence (AI) over the next two years, as they seek to deliver the ‘real time relevant’ customer experiences that are vital to improving sales performance.
– 52% will invest in AI for online merchandising in the next 12 month
– 67% of respondents said AI would help to improve organisational efficiency
– 62% said it would enable them to deliver an enhanced customer experience
– 58% said it would help them to make more effective use of big data
Asked to identify the areas of their businesses that will benefit the most from automation in the coming 3-5 years, scoring each out of 10, they awarded personalisation a score of 7.9 and online merchandising: 7.8. By contrast customer service scored five out of ten.”
“Semantic search uses both Natural Language Processing and Artificial Intelligence to understand long search terms (like chocolate bars under 5 dollars). By using Machine Learning techniques it can also develop an ability to understand the customer’s’ intent (i.e. identify the typos, recognize synonyms, show related products) as opposed to focusing only on specific keywords.
The concept of Semantic search not entirely new. Apple’s Siri, Amazon Echo, and Google Assistant use similar technology to understand people’s speech.
Apart from improved ability to present relevant products to the customers, there are many other benefits of Semantic search over the traditional Textual one.”
“Alibaba has also used artificial intelligence to handle the volume of inquiries from consumers through chatbots. As of March, AI technology was handling millions of customer inquiries daily.

During the quarter, Alibaba made its AI technology available to merchants on its marketplaces through a service called ‘store concierge.’ It uses natural language processing to help merchants handle consumer inquiries such as returns and refunds, especially during peak promotional seasons. It also supports personalized recommendations and promotions and discount information.”

AI eCommerce – IKEA Survey and NLP for Search

“At publishing time, 85 percent of respondents preferred that AI be able to detect and react to human emotions; 75 percent preferred a humanlike AI as opposed to one that was robotic, and 44 percent preferred a gender neutral interface, rather than one that was deliberately styled male or female.” Read full article

“New forms of NLP focus on ‘product awareness’ — identifying the primary product being sought and intelligently discarding (or de-prioritizing) search results that may contain the words ‘white’ or ‘flared,’ but may not be a dress — white flared pants, for example. NLP understands that “dress” is the primary item being searched for, and if something is not a dress, that is a deal-breaker — no matter how many matching qualifiers there may be.” Read full article