Artificial Intelligence | Machine Learning | Machine Perception Type W | Amazon Data Analytics


Consumer, Enterprise, Computer Software, Machine Learning, Robotics, Internet, Big Data, Retail Hermosa Beach, CA, United States

Type W

Artificial Intelligence | Machine Learning | Machine Perception


Type W | Amazon Data Analytics

Type W

Computer Software, Machine Learning, Robotics, Internet, Big Data, Retail


Hermosa Beach, CA, United States

Type W revolutionizes the way companies aggregate and compile retail sales and inventory data. Type W is a Techstars backed company who was part of the Techstars Retail program in association with Target in 2018. 

Type W automates the process of aggregating sell-through (end customer sales) data. We go into retailer online portals to grab point-of-sale and inventory data, store the data using cloud-based infrastructure, and provide it to brands over a software platform in real-time. Further, we allow third-party service providers to easily connect to the Type W infrastructure using APIs to be able to connect to existing business intelligence and visualization tools.

Utilizing this data, we create tools using machine learning and other algorithms to provide insights into automatic alerts for supply chain (out-of-stock, overstock etc.) as well as impacts of the inputs of the business (marketing spend, product placement, point-of-purchase displays, end-caps etc.). This information provides a clear picture of the drivers that directly affect sales. All of this will transform the way the retail industry exchanges sales data between retailer and brand.

 

B2C, B2B

1 to 25

Pre-Seed

N/A

Scaling Up

2018

 
 

Supermarkets
Retail and Commerce
Information Technology and Services
Consumer Goods
Consumer Electronics
Computer Software
Apparel & Fashion

N/A

Increase Efficiency
Revenue Growth

 
 

Analytics
IT and Security
Service

Yes

Active

 
 

   Machine Learning
   Machine Perception
   Natural Language Processing


N/A


Image

Image

Video

Video

Text

Text

Time Series

Time Series

 

   Software


N/A


N/A

 
 
Thomas Gloge


Thomas Gloge
Founder and CEO

 
 

Potential Customers

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