From unified data to decisive action: advancing supply chain autonomy with Microsoft Fabric and Auger

[Arun_Ulag]

Co-authored by: Dave Clark, Founder and CEO of Auger

The platform shift is underway

In a short period of time, Microsoft Fabric has emerged as one of the fastest growing analytics platforms in the industry, unifying data engineering, analytics, governance, and AI into a single, integrated experience. For many organizations, Fabric represents a long-awaited shift away from fragmented data estates toward a shared, trusted foundation.

What is equally notable is the ecosystem forming around that foundation. An increasing number of industry leading independent software vendors are choosing to build directly on Fabric—not simply to integrate with it, but to make it the core platform on which their solutions operate.

Auger is one of those companies.

As the Autonomous OS for Supply Chain, Auger addresses one of the most operationally complex and economically consequential domains in the enterprise. Its decision to build on Microsoft Fabric reflects a broader trend: platforms matter most when they enable business outcomes, not just technical consolidation.

Most supply chain teams aren't short on data. They're short on answers. Dashboards tell you what happened last week. They don't tell you whether to pull forward that order, absorb that supplier delay, or reposition that inventory. Today, with the information you have right now. That's the problem Auger was built to solve.

Why supply chain decisions demand a different approach

Supply chains sit at the intersection of cost, service, risk, and resilience. Decisions made in this domain rarely optimize a single variable—they require balancing competing priorities, often under uncertainty and time pressure.

Yet despite significant investments in analytics, many organizations still struggle to turn data into confident, repeatable decisions. Dashboards explain what has happened. They rarely help teams understand what should happen next.

Auger was designed to close that gap.

From analytics to operational intelligence

Auger focuses on operational autonomy — the ability to evaluate scenarios, understand tradeoffs, so the system can take action with clarity. Rather than treating supply chain data as a collection of metrics, Auger organizes it around how real supply chains behave: interconnected, dynamic, and constrained.

By applying supply chain specific reasoning, Auger helps organizations move beyond descriptive analytics toward decisions that are explainable, defensible, and aligned with business objectives. Teams can assess the downstream impact of choices across inventory, logistics, suppliers, and financial performance before those choices are executed.

In practice, this means a planner can model the downstream impact of a purchasing decision across inventory positions, cash flow, and service commitments before executing it. Not in a spreadsheet built overnight, but in seconds, from the same data the rest of the business is already using.

This shift—from reporting to decision support — is what enables faster responses and more consistent outcomes.

Built for how enterprises operate

Operational decisions do not happen in isolation. Inventory actions affect working capital. Service commitments influence customer trust. Logistics constraints shape risk exposure.

Auger reflects this reality by providing a shared operational context that aligns stakeholders across functions. Planners, finance leaders, and executives operate from the same data foundation, with a common understanding of assumptions and trade‑offs.

This shared context reduces friction, shortens decision cycles, and replaces reactive firefighting with proactive planning.

Making complexity manageable

One of the most persistent challenges in supply chain management is complexity. Data volumes are high, variables are interdependent, and scenarios change rapidly.

Auger helps organizations manage that complexity by translating data into business ready insight—without requiring users to become data scientists. Scenario analysis, risk evaluation, and tradeoff exploration become accessible to the teams closest to the business.

The result is not just better insight, but greater confidence in execution.

Why Microsoft Fabric matters in this equation

Auger’s decision to build on Microsoft Fabric is intentional. Fabric provides a unified, governed data foundation that allows operational intelligence to scale without introducing new silos or duplicating data.

With this integration, organizations can:

• Work directly from trusted, governed enterprise data already in Fabric
• Maintain a single version of truth across analytics, planning, and operations
• Extend supply chain intelligence across Power BI, data science, and AI workflows
• Reduce data movement, duplication, and infrastructure complexity

Auger is built on Microsoft Fabric, with all data stored natively in Microsoft OneLake – the unified, open-format data lake that serves as the single logical store for all data across an organization. This architecture allows Auger customers to seamlessly access their operations data through OneLake shortcuts without copying or moving data, preserving a single view of their data and eliminating ETL overhead. OneLake’s cross-tenant data sharing capabilities further allow enterprises to consume live, governed data across organizational boundaries. By leveraging both shortcuts and secure cross-tenant sharing, their customers can apply the full power of Fabric, across Power BI, data agents, and more, to drive smarter, faster supply chain decisions.

Looking ahead, the Auger and Microsoft Fabric roadmap goes further—connecting data, context, intelligence, and action even more tightly with deeper integration across real-time data, analytics, planning, ontologies, and operational execution.

Microsoft Fabric establishes the intelligence platform for trusted data.
Auger extends that platform into operational decision making.

The supply chains that win in the next decade won't just be better at collecting data. They'll be better at acting on it, faster and more consistently, with less friction between insight and execution. That's what this collaboration is built to deliver.

Learn more

Explore Auger now to see how you can unlock the full potential of your operational data.