How Microsoft Optimized Supply Chain Planning with Algo

Microsoft partnered with Algo to improve supply chain planning by centralizing data and using AI to optimize inventory flow and sales.

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Microsoft’s supply chain challenges

Microsoft’s supply chain challenges include managing numerous distribution points and retail partners, aggregating disparate data for demand forecasting, limited visibility into sales and inventory data, non-standardized data formats and timelines, and resulting operational inefficiencies in predicting consumer demand.

  • Numerous Distribution Points and Retail Partners

    Managing a vast number of distribution points and retail partners complicates the efficient aggregation of retailer data.

  • Data Aggregation for Demand Forecasting

    Aggregating disparate retailer data for accurate consumer demand forecasting is difficult and crucial for effective supply chain planning.

  • Visibility of Sales and Inventory Data

    Limited access to retail partners’ sales and inventory data hinders timely and informed decision-making.

  • Non-Standardized Data Formats and Timelines

    Siloed data in non-standardized formats and differing timelines complicates data integration and analysis.

Algo’s solution for Microsoft

Algo centralized data across 1st party retailer sales and 3rd party OEM sales. The data is pivotal to an AI driven supply chain planning platform used for the purposes of optimizing sales to the consumer without excess inventory within the supply chain. Algo introduced essential capabilities including aggregation of
retailer data, co-managed inventory, collaboration, and a global control tower to both sales and supply chain teams at Microsoft.

Key benefits included sales increase, reduction in weeks of supply, reduction in markdown exposure, and productivity improvements. Microsoft embraced the Algo solution, with the outcome being development of high-quality consumer demand data residing in 1 platform to enable the efficient flow of inventory from factory to consumer.

Microsoft’s results

By partnering with Algo to centralize retailer data and leverage an AI-powered supply chain platform, Microsoft significantly improved sales, reduced the time it takes to deliver products to stores (weeks of supply), and ensured their products were consistently available for purchase (increased shelf availability).

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Increase in shelf availability
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Weeks of supply reduction
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Increase in sales
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Improvement in aged inventory

“When we started work with Algo we were hoping for better visibility into what was happening in our channel – what we got was real time understanding, analytics, anomaly detection and for the first time a predictive perspective.  Algo not only listened, they took our feedback, understood our pain points and then turned that into actionable insights. Algo helped us turn a problem into an opportunity in one of the toughest times for Supply Chain globally.”

David Warrick

Former Global Supply Chain General Manager & Innovation Officer at Microsoft

“When we started work with Algo we were hoping for better visibility into what was happening in our channel – what we got was real time understanding, analytics, anomaly detection and for the first time a predictive perspective.  Algo not only listened, they took our feedback, understood our pain points and then turned that into actionable insights. Algo helped us turn a problem into an opportunity in one of the toughest times for Supply Chain globally.”

David Warrick

Former Global Supply Chain General Manager & Innovation Officer at Microsoft

Transform planning into a competitive advantage, and make smarter, data-driven decisions that drive retail success.