• Snowflake (NYSE:SNOW) is integrating the o9 Digital Brain platform via Snowflake’s Connected Application framework.
• The partnership connects o9’s AI-powered planning tools directly to governed enterprise data in Snowflake’s AI Data Cloud.
• The integration is designed to support real-time, closed-loop supply chain and business planning for large enterprises.

For investors watching how AI is moving from pilots into everyday workflows, this move puts Snowflake closer to the center of enterprise planning. The company focuses on a cloud data platform that lets customers store, share, and analyze data at scale, and o9 Solutions targets complex supply chain and commercial planning problems. Bringing the two together links AI models to operational data where it already lives, which can matter for customers looking to standardize on fewer core data platforms.

This development also fits with a broader push by large companies to connect planning, forecasting, and execution on a single data foundation. As more operational use cases sit directly on Snowflake, investors may want to watch how partnerships like this affect customer stickiness, data volumes, and the types of workloads that run on the platform over time.

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This o9 integration leans directly into Snowflake’s pitch of being the central data layer for complex enterprises. Instead of customers building and maintaining multiple point-to-point links between planning tools and data warehouses, o9’s Connected Application lets AI-powered planning models read and write directly against governed data in Snowflake’s AI Data Cloud. For large retailers, consumer brands, and manufacturers, that can simplify how supply chain, commercial, and financial teams work off the same “source of truth” without moving data into separate planning silos. It also lines up with Snowflake’s recent product work around Snowflake Intelligence and Cortex Code, which targets more AI workloads running close to enterprise data.

How This Fits Into The Snowflake Narrative

• The integration supports the existing narrative that AI and advanced analytics use cases can increase Snowflake’s role in enterprise workflows, by giving joint customers a direct way to run o9’s AI-powered planning on Snowflake data.
• At the same time, relying on partners like o9 to surface business value reinforces the narrative risk that AI monetization depends on third-party ecosystems and execution, especially with competition from Microsoft, Amazon Web Services, and Google Cloud.
• The narrative focuses heavily on migration and data warehousing, while this announcement highlights closed-loop planning and execution, which may not be fully reflected in how long-term platform stickiness is framed.

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The Risks and Rewards Investors Should Consider

• ⚠️ Deeper reliance on partners for high value planning use cases means Snowflake’s competitive position can be influenced by how o9 and similar vendors perform, as well as by rival ecosystems tied to Microsoft Azure or Google Cloud.
• ⚠️ Running AI-powered planning directly on production data increases expectations around uptime, data quality, and security, so any operational issues could affect how customers view Snowflake for mission-critical workloads.
• 🎁 If joint customers move more supply chain and financial planning into Snowflake-connected workflows, this could support broader usage across departments and make it harder to switch to alternative data platforms or competitors like Databricks.
• 🎁 Closed-loop data flows between Snowflake and o9 may encourage customers to standardize on Snowflake as their governed data store for planning, which aligns with analysts’ view that AI workloads on top of a sticky data platform are a key part of the long-term story.

What To Watch Going Forward

From here, it is useful to watch how often Snowflake and o9 feature joint customer wins, especially among large global retailers, consumer goods companies, and manufacturers. Concrete case studies that show supply chain, inventory, or working capital improvements tied to Snowflake-connected planning will help indicate whether these integrations are becoming core to how enterprises run operations. It is also worth tracking whether Snowflake forms similar Connected Application relationships with other planning and ERP providers, since that would show how far this approach extends across the broader enterprise software stack.

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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.