Current company Varstreet Inc
IT Services and IT Consulting · 87 employees · Founded 1999 · Burlington, Massachusetts, United States
VARStreet is an all-in-one business management platform purpose-built for IT & Office Supplies Value-Added Resellers (VARs), Managed Service Providers (MSPs), and B2B technology solution providers to sell, quote, procure, and scale faster and smarter.
Since 1999, VARStreet has been helping IT & Office Supplies resellers modernize their operations by bringing sales quoting, aggregated product catalog, procurement, eCommerce, CRM, and automation into a single, tightly integrated platform.
At the heart of VARStreet is a powerful aggregated product catalog featuring millions of IT hardware, software, and office supply SKUs sourced from 50+ leading distributors across North America. This normalized catalog delivers real-time pricing, availability, rich product content, and automated daily updates, eliminating manual data management while ensuring accurate, up-to-date information across quotes, storefronts, and orders. VARs can also add custom products and services, selling everything through one unified catalog.
VARStreet’s advanced Configure-Price-Quote (CPQ) engine enables sales teams to build complex configurations, apply dynamic pricing and margin rules, automate approvals, and generate professional quotes in minutes, not days. Deep catalog integration ensures every quote reflects current cost, inventory, and distributor data.
For organizations selling into enterprise and public-sector buyers, VARStreet offers robust PunchOut catalog integration, allowing buyers to punch out from procurement platforms such as SAP Ariba, Coupa, Oracle, Workday, Jaggaer, and more shop in a VAR’s catalog and return approved carts directly into their purchasing system. With 250+ PunchOut integrations, VARStreet simplifies enterprise buying while increasing deal velocity.
The platform also streamlines procurement and fulfillment, automating purchase orders, sourcing, distributor selection, and order tracking, reducing errors and operational overhead across the quote-to-cash lifecycle