Doss raises $55M for AI inventory management that plugs into existing ERP systems

Startup Doss has closed a $55M Series B round. The money will go toward scaling its AI inventory management platform, which runs on top of existing ERP systems rather than replacing them. Madrona and Premji Invest co-led the round.

Madrona is one of the leading venture players in the Pacific Northwest, with a portfolio that includes Amazon, Redfin and other technology companies. Premji Invest is the investment office of Wipro's founder, focused on long-term technology bets. Backing from two such funds signals serious interest in operational AI for manufacturing and retail companies.

Doss's core idea is simple, and that is where its value lies: most companies already run ERP systems, such as SAP, Oracle, Microsoft Dynamics or similar, and have no plans to change them. Rolling out a new ERP takes years, costs tens of millions of dollars and carries huge operational risks. Doss does not offer a replacement. It offers a layer of AI analytics on top of what is already there.

Inventory management is one of the most painful operational bottlenecks in retail, manufacturing and distribution. Demand forecasting errors lead to two opposite disasters: either shortages, meaning lost sales and unhappy customers, or surpluses, meaning frozen capital and storage costs. According to IHL Group, global losses from stockouts and excess inventory exceed $1.7 trillion a year. AI that can read demand patterns more accurately than traditional rules and formulas is an obvious answer to this problem.

Doss's approach is evolution, not revolution. The system connects to data already stored in the ERP: sales history, stock levels, supplier data and seasonality. From this data, the AI builds forecasts, detects anomalies and makes replenishment recommendations. For a business, this means faster decisions without manual spreadsheet work and without hiring additional analysts.

The market for operational AI in supply chains is currently seeing an investment boom. Major ERP vendors, including SAP, Oracle and Microsoft, are actively adding their own AI modules, but their capabilities often lag behind specialized solutions. Startups that work alongside an ERP rather than instead of it gain a competitive edge: the enterprise customer takes on no platform-switching risk but gets added value right away.

The $55M raised is a weighty signal to the market. This is not a seed round to test a hypothesis, but a Series B: an investment in a company that has already proven its product works and that it can win enterprise customers. The funds will likely go toward expanding the sales team, deepening integrations with more ERP platforms and developing the AI model itself.

The Doss case points to 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 lowers the barrier to entry and speeds up the payback on AI investment for any business with an established technology stack.