Basic info

• Year founded: 2019

• Team size: 11-50 employees

• HQ location: Seattle, WA

• Regions served: USA

What’s the story?

• Mo Afshar started his career as a Cambridge University computer science PhD. He did a 14-year stint at Oracle — where he eventually became the VP Products — as well as building and selling two data companies.

• Afshar saw ecommerce brands struggling with data connectivity across channels and platforms, and teamed up with Dave Shaffer to solve them.

• The company’s growth was immediately fueled by the COVID ecommerce boom, as well as the continuing trend of single-channel brands going multi-channel.

• They now are the backbone of order operations for 100s of large and small brands.

  
  

Who is it for?

• $10M - $5B brands and 3PLs

• Best omnichannel brands and/or those with complex supply chain setups.

  
  

How does it work?

• Pipe17’s core function is to normalize and route data between a brand’s many disparate systems — in particular the storefront, the WMS, and the ERP/accounting back-end.

• Users can access a highly configurable, drag-and-drop rule-builder to set up any custom logic for any set of systems or orders.

• Uniquely, Pipe17 uses a hub-and-spoke data model whereby all incoming data from any system is mapped into a common format before piping back out to other systems. This has many positive implications for scalability and integration speed (see below).

What makes it different?

• Fast, low-complexity scaling — Because of their hub-and-spoke data model, adding new platforms to Pipe17 can take minutes instead of days or weeks. They have a library of 100s of pre-built integrations with common logistics ecosystem platforms, as well as an open API.

• End-to-end order visibility — Because it monitors transactions from purchase to fulfillment to return, Pipe17 can easily catch and flag exceptions to any order.

  
  

How much does it cost?

• Pricing is set on a per-customer basis, based on complexity and size.