AI and Dark Stores among key e-commerce trends to watch out for in 2020

“Deeper AI Integrations: From automated chatbots to image recognition and personalization, Artificial Intelligence is expected to play a larger role in mcommerce.

AI and ML will see a greater play in Ecommerce

Here are top expected applications of AI in Ecommerce:

• Personalized User Journeys

• Predictive Product Recommendations

• In-store Insights & Customer Engagement

• Dynamic Pricing

• Predictive Behavior Modeling

• Visual Search”

https://www.google.com/amp/s/www.expresscomputer.in/amp/columns/ai-and-dark-stores-among-key-e-commerce-trends-to-watch-out-for-in-2020/44678/

Google’s AI is growing up

“Deployment is the word we’ve been using most commonly in Cloud AI at the moment,” Moore said at a press briefing April 11. “It is all about taking a project from initial inspiration all the way through to it running for your business reliably. We’re no longer interested in the world of proof of concept being the main form of AI in product.”

https://www.google.com/amp/s/qz.com/1593121/googles-cloud-ai-head-says-were-in-a-new-era-of-ai-for-business/amp/

ViSenze raises $20 million to further develop its AI product comparison tools

Visenze received another $20M in funding. Here’s a “Crib Sheet” post that I wrote on them in 2017.

https://aiecommerce.com/2017/12/14/ai-ecommerce-crib-sheet-visenze/

Additionally, here are some key take-always from today’s news.

  • “Artificial intelligence (AI) in retail is having a moment. Spurred by growth in automated merchandising, recommendation engines, and customer behavior tracking, spend with respect to AI-driven commerce services is expected to top $8 billion by 2024, research firm Global Market Insights reports. And according to the McKinsey Global Institute, said services will impact between 3.2 percent to 5.7 percent of global retail revenue.
  • After three years of steady growth (200 percent) that saw the number of users conducting searches with its products exceed 300 million (and search volume surpass three million queries a day), ViSenze is raising venture capital
  • ViSenze — which was spun out from the National University of Singapore’s Next research center in 2012 — claims its infrastructure can index and process of “billions” of images, and generate search results in less than a second for newly uploaded product images (and less than 200 milliseconds for existing images).
  • That scalability — along with computer vision models trained continuously to improve recognition accuracy — are the reason its customers see 50 percent higher click-through rates and up to 5 times higher conversion rates, ViSenze contends.”

https://www.google.com/amp/s/venturebeat.com/2019/02/19/visenze-raises-20-million-to-further-develop-its-ai-product-comparison-tools/amp/