Microsoft

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Microsoft is changing supply chain planning from manual spreadsheets and disconnected systems to predictive planning with SAP Integrated Business Planning, Microsoft Azure, big data, and machine learning. This matters because it improves visibility, shortens planning cycles, and reduces inventory risk. It impacts high-tech supply chain teams, planners, and operations leaders managing complex global networks.
Big data and machine learning are enabling real-time supply chain analytics that help Microsoft move from reactive firefighting to faster, scenario-based decision-making. This matters because it increases on-time planning, improves customer satisfaction, and lowers the cost of unconfirmed orders. It impacts supply chain planners, demand planners, and manufacturers facing volatile demand and service-level pressure.
The article shows that predictive supply chain risk management can deliver measurable business results, including less than one-day planning cycles, more than $550 million in avoided inventory risk, and about $50 million in increased revenue. This matters because AI-driven planning directly improves resilience, profitability, and shelf availability. It impacts enterprise supply chain organizations, especially in high-tech, retail, and global manufacturing.

Microsoft transformed its complex, manual supply chain planning by combining SAP Integrated Business Planning with Azure, Big Data, and machine learning to gain real-time visibility, shorten planning cycles, improve on-time planning and shelf availability, and reduce inventory risk by more than $550 million.

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Mitigating supply chain risk with the predictive power of Big Data and machine learning.

Explore Microsoft’s journey with SAP

Microsoft Corporation invested in the SAP Integrated Business Planning for Supply Chain solution as the catalyst for its planning transformation. First connecting various IT systems for visibility across its operations, Microsoft now uses predictive planning capabilities for data-driven and actionable insights, helping it minimize inventory and supply chain risk.

Industry	Region	Company Size
High tech	Redmond, Washington	220,000 employees

99.9%

availability.

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50%

reduction in manual planning processes.

75%

increase in on-time planning.

We’ve replaced a disconnected and manual planning system with a tightly connected, predictive, and cognitive supply chain using SAP Integrated Business Planning and Microsoft Azure.

Andrew Baucher
Director, Supply Planning (Devices), Microsoft Corporation

Reimagining planning with a sustainable, risk-resilient supply chain

Committed to the mission of empowering every person and every organization on the planet to achieve more, Microsoft Corporation helps create opportunity, growth, and impact around the world. Its software, devices, and tools empower human ingenuity and are known to boost small-business productivity, large-business competitiveness, and public sector efficiency.

A big part of Microsoft’s success story comes from its devices or hardware business. This is served by the company’s complex devices supply chain with more than 42,000 active stock-keeping units and 33 manufacturing and distribution centers carrying out work in 108 countries.

When Microsoft looked to effectively scale up its operations to bring a significant number of new devices to market, the company had to factor in an intensely competitive operating environment and increasing customer service expectations. Amid rising demands for free shipping, free returns, and white-glove services in tandem with other pricing and margin pressures, Microsoft scrutinized its manufacturing, sourcing, and fulfillment processes and after-sales costs. With a heavy reliance on manual processes and spreadsheets, the technology giant resolved to digitally transform its planning processes to avoid significant inventory and supply chain risks.

We’ve created visibility across the business, tracking raw materials to finished goods, sales, returns, and repair operations with a sentient supply chain using the SAP Integrated Business Planning for Supply Chain solution and our own Azure platform.

Deepak Kapoor
Principal Group Product Manager, Microsoft Corporation

Developing a predictive supply chain to shorten planning cycles and minimize supply chain risk

With customers’ expectations growing ever higher, Microsoft needed to build resiliency and mitigate supply chain risk. The company set three main goals for its digital transformation. The first goal was to develop a holistic view of the business by connecting the various systems of its technology landscape. At the time, data visibility was limited to just 20% of all required data points, with the remaining 80% of data sets residing on disparate Microsoft Excel files, e-mails, instant messaging apps, and Microsoft PowerPoint slides.

The second goal involved becoming more predictive and less reactive by implementing digital planning and analytics capabilities. Using Big Data and machine learning, Microsoft shortened planning cycles and became more responsive to market shifts.

The third goal was to enable better decision-making by using algorithms to make quicker and faster decisions that reduce manual activities.

To achieve planning transformation success, Microsoft invested in the SAP Integrated Business Planning for Supply Chain solution alongside its own Azure tools. In addition, given the planners’ familiarity and past reliance on Excel, the add-in for Microsoft Excel for SAP Integrated Business Planning was used to smooth the transition. This add-in gives planners a familiar front-end user interface on top of the next-generation planning tools from SAP.

Thanks to the strong partnership between Microsoft and SAP, we were able to supplement a few of the scenarios that were specific to Microsoft and our industry without having to wait for the product road map. So we could build bridge solutions to address those needs and continue our transformation journey without having to pause.

Dhaval Desai
Principal Group Engineering Manager, Microsoft Corporation

Acting on real-time data and insights for more supply chain resilience and agility

Since going live with the solutions, Microsoft has reshaped its planner roles. Prior to the transformation, creating a realistic plan took about five days, requiring planners to capture data from different legacy systems and multiple Excel worksheets. Collaborative work was performed offline with activities between suppliers and customers tracked through manual spreadsheets. Now, using SAP Integrated Business Planning and SAP Business Network for Supply Chain, planners can generate and compare various scenarios as well as create simulations and more-realistic plans. This frees them from the firefighting exercises of old and allows them to adopt a predictive planning approach, creating plans that better fit customers’ expectations.

In terms of planning cycle time, this now takes less than one day, and Microsoft has also seen a substantial increase in on-time planning as measured by the number of purchase orders created, transmitted, and confirmed. As a result, there’s been a reduction in unconfirmed orders and a corresponding improvement in customer satisfaction.

Other significant benefits from transforming its supply chain from reactive and high touch to real time and predictive include a substantial reduction in Microsoft’s finished goods inventory, helping the company avoid more than US$550 million in inventory risks.

Now planning the vast majority of its products through SAP Integrated Business Planning and its own Azure tools, Microsoft gets insights across the business from the factory floor to sales in store and online. Using a suite of self-serve analytics, the company gains insights and actionable intelligence from real-time and near-real-time signals. On a practical level, this has translated into increased customer revenue opportunities, with more than 20% shelf availability and a 4% uptick in sales amounting to around $50 million in increased revenue.

Thanks to SAP Integrated Business Planning and Microsoft Azure, we’re capturing more than 50 million data points every day from raw materials to end customers, helping us transform our supply chain from being reactive to predictive.

Suresh Michael Raja
Principal Program Manager, Microsoft Corporation

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