Available Technologies

Browse Penn-owned technologies available for licensing.


For online retailers who want to increase sales, NETIFY is a tool for creating real-time recommendation networks that match customers to provide social incentives to try new products. Unlike Amazon.com, recommendations do not come from a statistical engine, but from real people with personalities and histories who provide social encouragement to try new options. "It's Match.com for shopping."


Online networks today are centered on primarily one of two premises, either a social network of “people you may know” or “customers who bought this item also bought…” recommendations. A key component missing from these networks is the person who is most similar to you as a consumer. As the ecommerce market has continued to grow, valued at $1.25 trillion dollars worldwide and $262 billion in the U.S. in 2013, retailers are constantly looking for ways set themselves apart from the competition.


NETIFY is a mobile social network that delivers live, real-time social networks in any online context to consumers. The social networking algorithm constructs networks of shoppers based on a range of characteristics (demographic, behavioral, geographical, etc.). The characteristics are determined by the setting – i.e. the relevant characteristics for matching clothes shoppers on Gap.com are not the same as they are for matching grocery shoppers on WholeFoods.com. NETIFY provides the voyeuristic peek into another person’s shopping cart, allowing a customer to learn from other’s good ideas, and try them out herself. The reason this works is that it’s all in the match. By putting the right people together, we can create the right influences.


  • Relies on social context of users, not products
  • No need to search for people relevant to the user
  • Real-time connection


  • Online retailers
  • Grocery stores
  • Financial services
  • Healthcare

Stage of Development:

Prototype in development

Reference Media:

Desired Partnerships:

  • License
  • Co-development

Patent Information:


Docket # 16-7932

For Information, Contact:

Melissa Kelly Associate Director
University of Pennsylvania