Doss raises $55M for AI inventory management with ERP integration

Doss has closed a Series B funding round of $55 million — the funds will go toward scaling the AI platform for inventory management, which works on top of existing ERP systems rather than replacing them. The round was jointly led by Madrona and Premji Invest. Madrona is one of the leading venture capital firms in the Pacific Northwest with a portfolio including Amazon, Redfin and other technology companies.

Premji Invest is the investment office of Wipro's founder, focused on long-term technology bets. The participation of these two funds signals serious interest in the operational AI segment for manufacturing and retail companies. Doss's key idea is simple, but therein lies its value: most companies already work with ERP systems — SAP, Oracle, Microsoft Dynamics or their equivalents — and have no plans to change them.

Implementing a new ERP takes years, costs tens of millions and carries enormous operational risks. Doss doesn't offer a replacement — it offers an AI analytics layer on top of what already exists. Inventory management is one of the most painful operational pain points in retail, manufacturing and distribution.

Errors in demand forecasting lead to two polar catastrophes: either shortages — lost sales, unhappy customers — or surpluses: frozen capital and storage costs. According to IHL Group, global losses from shortages and excess inventory exceed $1.7 trillion per year.

AI capable of reading demand patterns more accurately than traditional rules and formulas is an obvious answer to this challenge. Doss's approach is not revolutionary, but evolutionary. The system connects to data already stored in the ERP: sales history, inventory balances, supplier data, seasonality.

Based on this data, AI builds forecasts, identifies anomalies and provides recommendations for inventory replenishment. For business, this means faster decision-making without manual spreadsheet work and without needing to hire additional analysts. The market for operational AI in supply chains is currently experiencing a boom in investments.

Major ERP vendors — SAP, Oracle, Microsoft — are actively adding their own AI modules, but their capabilities often lag behind specialized solutions. Startups that work together with ERP rather than instead of it gain a competitive advantage: the corporate client bears no risk of platform switching, but gets additional value right now. The $55 million raised is a strong market signal.

This is not a seed round to test a hypothesis, but a Series B — investment in a company that has already proven product viability and the ability to attract corporate clients. The funds will likely go toward expanding the sales team, deepening integrations with a larger number of ERP platforms and developing the AI model itself. The Doss case is a good signal of a trend: the next generation of operational tools is being built not as monolithic replacements, but as smart layers on top of existing infrastructure.

This approach precisely lowers the barrier to entry and accelerates ROI for AI investments for any business with an established technology stack.