Twitter | Search | |
Matthew Brennan
1/ The data that Chinese smart retail systems can capture from a single store is mind blowing. Face recognition identifies new & return customers, estimates their age, gender and mood. Time spent in store and items looked at creating live store foot traffic heat maps.
Reply Retweet Like More
Matthew Brennan 23 May 19
Replying to @mbrennanchina
2/ Hidden camera in the shelves record which items were picked up and what customers are looking at and for how long
Reply Retweet Like
Matthew Brennan 23 May 19
Replying to @mbrennanchina
3/ Conversion funnels: people who passed by the store, people who entered, people who picked up or browsed products, people who purchased. Exactly same as online ecommerce.
Reply Retweet Like
Matthew Brennan 23 May 19
Replying to @mbrennanchina
4/ And all of this data can be tied to the individual's online behaviour. Closing the loop between online and offline creating a wholistic picture of each customer's behavior
Reply Retweet Like
Ivy Xu ☀️ 25 May 19
Replying to @mbrennanchina
This is just taking an online experience offline. When you shop online, companies can already track your age, gender, and time spent on site, user journey, and what you are browsing.
Reply Retweet Like
Kelly C. Egan 23 May 19
Replying to @mbrennanchina
Is the company Gravibit?
Reply Retweet Like
Conner 24 May 19
It seems so, but can’t find too much info besides .
Reply Retweet Like
1Man/ManyMachines 23 May 19
Replying to @mbrennanchina
Customers are prey..
Reply Retweet Like
Vishal Reddy 24 May 19
Replying to @mbrennanchina
must eliminate guess work by adding vision data to their analysis . I have developed a functional prototype of smart retail systems for a Singapore chain and happy to show anyone a demo. Here's a brief document
Reply Retweet Like
Aaron Vidas 24 May 19
Replying to @mbrennanchina
Was this tech developed in-house or is it a system that can be purchased?
Reply Retweet Like