Profitmind Raises $9 Million Series A To Scale AI Retail Decisions

Profitmind, an agentic AI decision intelligence platform designed for retail organizations, has secured $9 million in Series A funding to accelerate global expansion and advance its AI-driven decision-making capabilities. The investment round was led by Accenture Ventures, with participation from new investor Thorndale Farm, Inc., alongside continued backing from Magarac Venture Partners, AI Fund led by Andrew Ng, and Lightscape Partners.

The funding will support platform development, international growth, and team expansion as Profitmind aims to help retailers modernize how operational decisions are made across pricing, merchandising, and inventory planning.

The announcement comes amid increasing enterprise demand for AI solutions that move beyond analytics dashboards toward operational execution. Profitmind’s platform focuses on replacing slow, manual planning processes with automated recommendations grounded in financial outcomes and business strategy.

“Retail teams are not short on data, but they are short on time and decision-making confidence,” said Dr. Mark Chrystal, Co-Founder and CEO of Profitmind. “This investment allows us to scale a platform that replaces days of manual work with clear, strategy-aligned recommendations teams can act on immediately with predictable outcomes.”

Retail organizations often rely on fragmented workflows where teams spend significant time reconciling data across multiple systems before making decisions. These delays can hinder responsiveness to changing consumer demand, competitive pricing pressures, and operational costs. Profitmind addresses this challenge by consolidating insights into a unified decision intelligence layer that generates prioritized action plans.

The platform delivers ranked recommendations across key retail functions such as pricing adjustments, promotion optimization, inventory allocation, and assortment planning. Each suggested action includes projected financial impact metrics tied to sales performance, profitability, and working capital. Approved decisions can then be exported directly into execution tools, while performance outcomes feed back into the system to refine future recommendations.

Profitmind’s growing adoption spans multiple retail categories, including apparel, footwear, automotive parts, and home goods, highlighting broader industry interest in AI systems that enable faster operational alignment.

The company has also strengthened its enterprise ecosystem through a partnership with Microsoft, bringing the platform to Microsoft Marketplace and Azure. The integration is intended to simplify deployment for enterprise retailers and support adoption within existing cloud environments.

Andrew Ng, Chairman of Profitmind and leader of AI Fund, emphasized the importance of operational AI systems. “For AI to be useful in large organizations, it has to move beyond dashboards and predictions to support real decisions,” he said. “Under Mark’s leadership, Profitmind has built agentic AI to coordinate decisions across teams, which is where much of the economic value sits as companies scale.”

Accenture Ventures’ participation reflects rising enterprise interest in AI solutions capable of driving measurable transformation without requiring companies to rebuild their technology stacks. Through the collaboration, Accenture plans to help retailers implement Profitmind’s decision intelligence capabilities as part of broader digital transformation initiatives.

“In retail, AI is reinventing how people shop, how businesses operate and how employees work,” said Jill Standish, Accenture’s global retail lead. “Profitmind bridges the gap between insight and action through agentic AI, linking data from multiple sources into clear, prioritized recommendations that retailers can trust and execute quickly.”

As retailers increasingly prioritize agility and data-driven execution, Profitmind’s latest funding positions the company to expand its role in shaping AI-powered retail decision-making worldwide.