Tom Scott gets inside access to one of Ocado’s grocery warehouses, where thousands of mechanical boxes move on the Hive.
In this webinar, I was on a panel where we discussed the top 5 analytic challenges in the retail industry.
We also dove into the many applications of data science that can be used to enhance retail companies and better understand the consumer.
Join Databricks at the Retail & Consumer Goods Forum to participate in keynotes and panel discussions with thought leaders from some of the biggest global brands.
In this Data Point, Frank visits the new Barnes and Noble location in Rockville, MD which is the first store in the US to sport the book retailer’s new design.
Oddly enough, it looks a lot like the Amazon brick and mortar bookstore just down the road in Bethesda.
With less space and a revamped layout, you have to think that the store’s design is much more data-driven. (Pun somewhat intended.)
Andy Leonard and I recorded our second Data Driven show live on Linked In.
This time, we talked about the “three Rs of the 2020s,” Robots, Retail, and Reskilling.
Watch below or listen to the show on the Data Driven website.
In this Data Point, Frank sees a robot patrolling the aisles of his local Walmart and gets excited.
The robot scans shelves and helps identify what needs to be restocked and what’s out of place.
Press the play button below to listen here or visit the show page at DataDriven.tv.
Data is the oil that’s lubricating the sales machines at huge online retailers like Amazon.com and is exploring user behavior for tech giants like Google and Facebook.
According to Amazon Web Services (AWS), its payments data engineering team alone is responsible for data ingestion, transformation and storage of a growing dataset of more than 750 TB.
That enormous volume will dwarf that of most other organizations, but this doesn’t mean that their data is any less valuable or that there isn’t room left to compete.
The insight that a retailer can gain from good quality data isn’t determined by how much there is of it, but rather by how it’s collected, analyzed and used to meet customers’ requirements. Where will demand be particularly high next weekend? How much influence will the weather have on online sales? Under what circumstances is the probability of fraud or returns particularly high? Why does the customer behave like this and not differently? The answer to all of these questions is in the data.
In this Data Point, Frank shares his first impressions of Amazon’s brick and mortar store in Bethesda, MD and why the future of retail is data driven.
Also, here is the first book for the Data Driven Book Club: Data Loom by Stephen Few.
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Learn how Microsoft is simplifying IoT with the evolution of Azure IoT Central.
Step through a live demo of the new IoT Central retail application template with Avneet Singh, Senior Program Manager, IoT Solutions team.
Learn how this IoT app platform keeps devices connected with built-in device management.
Understand IoT Central makes it easy to integrate into business applications to deliver insights to business decision makers.
Siraj Raval built a demo app called SmartSneaks that lets a user convert a song or image into a generated shoe design.
This is an example of how AI can be used to transform retail by giving users a more personalized experience. The tools he used to build this are the Flutter framework for mobile development and the Flask framework for web development. There are 3 learning objectives in this video including how to build a deep learning API for your mobile app, how to generate images with a generative adversarial network, and how to calculate image similarity with OpenCV.