Name: From "Intuition" to data-driven precision: Automating store safety stocks at scale
Start: 2026-05-26T14:00:00+0200
End: 2026-05-26T14:30:00+0200

From "Intuition" to data-driven precision: Automating store safety stocks at scale

FULL

Tuesday May 26, 2026 14:00 - 14:30 CEST

🤖 DATA/AI ARENA

Limited Capacity full
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In the world of global retail, balancing product availability with inventory cost is a high-stakes game of precision. For years, managing "Safety Stock"—the buffer inventory held to mitigate demand and supply uncertainties—at Decathlon relied heavily on empirical rules, based on fixed numbers of coverage days regardless of the product, inducing high-level coverage values. While functional, this "one-size-fits-most" approach lacked the granularity needed to truly optimize a complex network of thousands of stores and unique items.

This session details the technical evolution of our Safety Stock solution, moving from these empirical rules to an automated, industrial-scale statistical engine. We will present a deep dive into how we built a system that computes dynamic safety stocks at the Item x Store x Day level.

Key technical pillars of the session include:
- The Statistical Engine: Moving beyond the baseline to formulas integrating forecast error variability, and lead time variability to meet specific target service levels.
- The Architecture: An overview of our data pipeline, utilizing dbt for weekly computations based on Decathlon's datalake and Talend flows to push granular safety stock quantities directly into SAP F&R.
- Backtesting & Impact: A transparent review of our pilot results across pilot product families, demonstrating a reduction in Days Sales of Inventory (DSI) of a few days without sacrificing availability.
- Product Segmentation: How we use ABC-XYZ classification to automatically tailor service level targets based on both business targets and demand predictability.

Join us to learn how we bridged the gap between supply chain theory and real-world data science and analytics engineering, transforming inventory management from a "best guess" into a precise, automated competitive advantage.

Speakers

Vianney Taquet

Decathlon

Data & AI manager at Decathlon since September 2022 on demand forecasting and inventory management within Decathlon Digital's supply chain department.

Tuesday May 26, 2026 14:00 - 14:30 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

Data / AI, Talk

Audience Intermediate

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Dev Summit 2026

Vianney Taquet

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