Doss, an AI-powered inventory management platform, has raised $55 million in Series B funding led by Madrona and Premji Invest. The investment reflects a growing demand for specialized solutions within the rapidly evolving landscape of AI-driven Enterprise Resource Planning (ERP) systems.

The Problem with Modern ERPs

Traditional ERP systems – often described as the “central brain” of a business – have long been criticized for being complex, expensive, and slow to implement. Newer AI-based ERP companies like Rillet and Campfire emerged promising disruption, but many lack robust inventory management capabilities. This leaves a critical gap for businesses needing to synchronize physical stock data with financial records.

Doss’ Solution: An AI-Native Inventory Layer

Doss addresses this challenge by providing an AI-native inventory layer that seamlessly integrates with existing accounting systems, whether those are traditional ERPs or newer AI-based platforms. Rather than competing directly with AI-native ERPs, Doss positions itself as a complementary solution, focusing specifically on traceability and supply chain visibility within financial workflows.

Strategic Partnerships and Customer Base

The company partners with key players like Rillet and Campfire, as well as Intuit’s QuickBooks, to fill the inventory management void. Doss primarily serves mid-market consumer brands with revenues between $20 million and $250 million, including Verve Coffee Roasters.

The Future of ERP: Fragmentation or Integration?

While legacy ERP giants like NetSuite are now introducing AI features, the market is increasingly seeing a trend toward specialized, AI-powered solutions. Doss’ CEO Wiley Jones acknowledges the challenge of selling two ERP systems, but argues that the difficulty of implementing traditional systems often makes this approach more attractive for companies.

“The reason that they work with us is that [physical goods management] is not something that they’re likely going to build as a core competency without putting in a lot of energy and effort.”

The race to dominate the mid-market hinges on which ERP architecture can best integrate with “agents” – AI systems designed to automate complex tasks. Doss believes that legibility and usability will ultimately decide the winners.

This funding round underscores a significant shift in ERP: businesses are increasingly willing to adopt a multi-system approach to leverage the best AI tools for specific functions. The long-term viability of this fragmented model remains to be seen, but it is currently gaining traction as companies seek agility and efficiency in a rapidly changing market.