Manhattan Associates (MANH) Morgan Stanley Technology, Media & Telecom Conference 2026 summary

Company overview and product strategy

• Focuses on supply chain and commerce software, offering solutions in warehouse, transportation, order management, point of sale, and supply chain planning.

• Transitioned to a cloud-based, API-driven platform over the past decade, enabling rapid customer onboarding and market share gains.

• Emphasizes microservices and composability, allowing for flexible, future-proof solutions.

• 75% of codebase is auto-generated, reducing tech debt and enabling rapid updates.

AI innovation and differentiation

• AI is natively integrated into the platform, accessible to all customers without complex data migrations.

• Focuses on innovation and velocity rather than cost reduction as the main AI benefit.

• Agentic AI leverages an API-first approach, enabling rapid deployment of custom agents for unique customer needs.

• Four main AI use cases: user experience, time to value, productivity, and data insights.

• Customers can build, modify, and deploy agents quickly, with examples showing measurable operational improvements.

Cloud transition and customer migration

• Supply chain software adoption of cloud remains low (~40%), mainly due to mission-critical complexity and legacy upgrade challenges.

• Introduced fixed price and timeline conversions, leveraging automation and AI to de-risk migrations.

• Cloud customers receive continuous updates and exclusive access to AI agents, increasing the value gap with on-premise users.

• Many customizations from on-premise are now standard features in the cloud, reducing migration barriers.

• Proof points and lower conversion costs are helping overcome risk aversion among remaining on-premise customers.