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Research Briefing: New Frontiers in Retail Tech

How will we shop in 2020? The lines between e-commerce and brick-and-mortar get blurrier by the day: traditional retailers move online, at the same time online companies open physical stores. Brick-and-mortar retailers are developing internal innovation labs, while tech giants are acquiring their own e-commerce and in-store tech startups. 

In this webinar, we’ll look at how corporates and startups are shaping the future of retail. You’ll walk away understanding:

  • The Store of the Future: How are beacons, sensors, robots, artificial intelligence platforms, and other new technologies transforming the store experience? How can retailers use in-store tech to break open the “black box” of in-store shopper data?
  • E-Commerce Invasion: E-commerce funding and acquisitions, direct-to-consumer brands, and more
  • Point of Sale Dispersion: Subscription boxes, on-demand, automated ordering systems – how is the point of sale evolving?
  • Big Box vs. Big Tech: While brick-and-mortar retailers work to adapt, are big tech companies leading the future of commerce?


Zoe Leavitt is a technology analyst at CB Insights covering the consumer retail, e-commerce, and food tech sectors. Prior to joining CB Insights, she worked in equity research and drove consumer analytics efforts at the consumer finance group of the Bank of China in Shanghai. 

Zoe is a graduate of Stanford University, and her work has been cited in the New York Times, the Wall Street Journal, and more.

Zoe Leavitt

Research Analyst


About CB Insights

Our team comes to work every day to build technology that helps corporations guess less and win more.

We aggregate and analyze massive amounts of data and use machine learning, algorithms and data visualization to help corporations replace the three Gs (Google searches, gut instinct and guys with MBAs) so they can answer massive strategic questions using probability not punditry.

Questions Like:

Which disruptive companies should we worry about?

Which emerging trends could kill us?

What new markets should we enter?

What is our competitor's strategy?

Who should we acquire?

Who should we invest in?

Who is our next customer?

Who are the S&P 500 of tomorrow?

With backing from the National Science Foundation and venture capital investors, we mine terabytes of data and knowledge contained in patents, venture capital financings, M&A transactions, hiring, startup and investor websites, news sentiment, social media chatter, hiring activity, and more. 

Our software algorithmically analyzes this data to help our clients see where the world is going tomorrow, today.