Morgan Stanley Upgrades Manhattan Associates to Overweight, Sets $250 Price Target

Morgan Stanley upgraded Manhattan Associates (NASDAQ: MANH) to Overweight from Equalweight, citing accelerating cloud bookings and early commercial adoption of the company's specialized artificial intelligence agents. The firm also raised its price target for the stock to $250.00 from $180.00.

"The company's agent-driven revenue could grow to represent 25–30% of base contract values over time," said Morgan Stanley analyst Chris Quintero in a note to clients.

AI Agent Performance and Adoption

The upgrade follows channel checks revealing that early adopters of the company's AI-driven tools are seeing operational improvements. Users of Manhattan Associates' Wave, Labor, and Dock AI agents are reporting labor cost reductions of approximately 20%.

These agents represent a shift in the company's product strategy. The business is moving beyond standard supply chain management software toward autonomous execution tools. By integrating these agents into existing warehouse and logistics workflows, the company aims to secure a larger share of its customers' IT budgets through value-based pricing models.

Why This Matters for Revenue

Manhattan Associates provides supply chain and omnichannel commerce software and has been transitioning its business model toward cloud-based subscriptions. The adoption of AI agents is expected to accelerate this transition, potentially increasing the retention rates of its cloud platform.

If the firm's projections hold, the shift toward agent-driven revenue could change the company's financial profile. By tying a portion of contract values to AI-driven efficiency gains, Manhattan Associates may be positioned to capture higher margins as its clients scale their use of automated logistics solutions.

Market Context

The supply chain software sector has faced pressure to provide measurable ROI as enterprises look to optimize labor costs in volatile economic environments. The focus on quantifiable metrics, such as the 20% reduction in labor costs, highlights how analysts are evaluating the success of enterprise software providers in the AI space.