Case study

How Novartis optimized its supply chain with real-time risk insight

A data-driven, globally integrated solution helps Novartis manage high inventory, slow- and non-moving goods and audit risks.

1

The better the question

How do you turn inventory risk into actionable insight?

Novartis needed to redesign how it manages its slow-moving and non-moving goods inventory in a complex, highly regulated supply chain.

Novartis, one of the world’s largest pharmaceutical companies, operates in an environment shaped by complex production processes, strict regulatory requirements and global supply chains. To deliver on its commitment to ensuring uninterrupted patient supply, it maintains efficient, compliant and resilient supply chains and a high level of inventory, totaling over US$5b across more than 35,000 stockkeeping units and spanning over 100 locations worldwide.

However, like many organizations in an industry with structurally high inventory levels and significant write-offs, the Swiss company still partly relied on manual, labor-intensive and fragmented processes for managing slow-moving and non-moving (SMNM) goods. “Until recently, inventory provisioning required countless manual steps: Excel files, error-prone calculations and a lot of manual time invested,” says Subbu Ramakrishnan, LDC IT Lead, Finance and Procurement at Novartis.

SMNM provisions
US$300m
US$300m
Novartis needed a solution to better manage hundreds of millions in write off avoidance across inventory worth over US$5b

With the company’s annual provisions for slow-moving goods reaching around US$300m a year, the manual processes and their limitations were becoming a growing pain point in the organization. Calculation processes were time-consuming and inefficient; solutions were piecemeal and calculating inventory provisioning before profit elimination had become a complex procedure. 

We needed a solution that was precise, compliant, global and fast.

The company also lacked tracking for audit purposes. It had no warning capability to help identify risks at an early stage and its forecasting ability was restricted. All of these factors, alone or in combination, impaired transparency and insight into inventory risk and were a challenge to proactive inventory management aimed at avoiding write-offs, besides potentially leading to compliance issues or inaccurate financial statements. “So we needed a solution that was precise, compliant, global and fast,” says Carlos Bastianelli, Head of Finance Large Molecules and CGT at Novartis.

Two men walk down the corridor at the Novartis office
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The better the answer

Building a data-driven, globally integrated solution

To enhance its global inventory management and improve forecasting capabilities, Novartis implemented an integrated EPM solution.

Novartis set out to create a standardized, scalable approach to managing SMNM and related risk provisioning globally, within an integrated enterprise performance management (EPM) framework.

 

The solution lay in redesigning the SMNM goods inventory system using an innovative approach that combined SMNM functionality with SAP technology, including SAP Profitability and Performance Management. The initiative required rethinking the logic, the data flow and the risk model. “Together with Novartis, we redesigned the core calculation logic for SMNM goods in SAP,” says Sveinung Baumann-Larsen, EY Global Tax SAP Leader.

 

EY teams drew on their alliance with SAP to implement SAP Profitability and Performance Management as the core solution. The software integrated seamlessly with existing systems and is capable of processing large volumes of data at a highly detailed level to detect inventory risks categorized by various reason codes. With built-in review, commenting and posting functionalities, the entire process now runs end to end in SAP, reducing manual steps and workarounds outside the system, such as emails and spreadsheets.

 

The new calculation logic enables precise, transparent and forward-looking stock valuation Novartis can rely on. “This advanced analytical tool uses sophisticated calculations to provide early warnings on inventory risk,” says Alex Gomes, LDC, Core Enablement and Finance Lead at Novartis. The SAP-enabled system automatically flags items that are slow-moving or have no movement at all, thereby improving overall stock control, risk visibility and consistency.

 

Additionally, the SMNM module provides much-needed automation to a process that was highly manual. It provides a comprehensive, standardized solution for inventory provisioning, offering the analytics and forecasting functionalities needed in a solution that is truly integrated across finance, operations and technology.

The advanced analytical tool uses sophisticated calculations to provide early warnings on inventory risk.
Group of people sat in a meeting room at the Novartis office
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The better the world works

Gaining real-time insight and unlocking future AI use cases

A unified data foundation enables actionable insights, stronger compliance, proactive risk management and AI-driven enhancement.

Novartis also worked with EY professionals to redesign global inventory provisioning. It introduced a new standardized and automated calculation method across all countries that has eliminated interfaces, manual steps and siloed approaches, “improving global visibility and significantly boosting operational efficiency,” Gomes adds. Notably, the redesigned SMNM module has reduced the time and effort in provisioning calculations by at least 50%. The increased level of automation will allow teams to concentrate on strategic priorities in future.

 

The system also enhances compliance through detailed monthly analyses and provides transparency for audits and financial reporting. “And consequently, we are now better positioned to respond swiftly to patient and business demands while effectively managing risks in advance,” says Bastianelli.

 

Besides gaining clarity on risk exposure and provisioning rationale throughout the organization, Novartis has laid the foundation for proactive inventory management that enhances global visibility of SMNM goods risk. The shared data platform enables Novartis to identify products approaching expiration earlier, helping to reduce the destruction of goods and improve stock control.

We are now better positioned to respond swiftly to patient and business demands while effectively managing risks in advance.

For Novartis, this has resulted in standardized and automated global processes, improving operational efficiency and helping ensure accurate, compliant financial reporting with full transparency for audits. The automation of previously manual, error-prone provisioning processes has also reduced manual effort and improved risk identification, allowing the company to respond more swiftly to patient and business demands.

 

Customers benefit from a more reliable supply chain, that ensures timely delivery of medicines, while the improved inventory management supports Novartis’ commitment to maintaining an efficient, compliant, and resilient supply chain across all locations.

 

The unified data model created through this initiative also unlocks potential for future AI use cases by leveraging inventory-related information, positioning Novartis to further enhance its inventory risk management capabilities.

Time saved
50%
50%
The new SMNM module reduced time and effort in provisioning.

What’s more, the redesigned SMNM module creates a unified data foundation that unlocks future AI use cases for optimizing the supply chain process. It offers potential to enhance efficiency and decision-making capabilities, for example through classification and trend analysis or predictive insights. A pioneering, scalable solution, the new system solves not just today’s challenge but also redefines what’s possible for an entire industry.


Driving enterprise performance: unlocking value through end-to-end EPM

Discover how an integrated Enterprise Performance Management (EPM) approach can move beyond traditional, siloed EPM approaches towards an integrated operating model that connects Finance, Tax, Controlling, Sustainability, and IT on a single, AI-ready data foundation. As result the key benefits include faster decision-making, improved forecasting, stronger compliance, and enhanced business performance.


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