The evolution of Puma: a more agile, collaborative and strategic chain driven by advanced analytics

A changing context that requires speed and precision

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In the sports industry, the pressure to anticipate trends, supply with precision and respond to multiple commercial channels is increasing. Puma Mexico was no exception: it simultaneously managed more than five types of businesses —including Retail and Wholesale—, each with different volumes, purchase windows and operating conditions. In this environment, planning was strongly conditioned by high levels of variability, strict buying cycles, and the need to meet committed delivery dates to preserve the consumer experience.

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The initial process revealed challenges characteristic of the sector: fragmented projections, manual loading of orders, lack of traceability in consolidation, and logistical monitoring that relied heavily on the team's operational effort. Each season involved coordinating diverse requests, centralizing them, arbitrating discrepancies and sending them to the corporate within immovable deadlines. Subsequently, the control of arrival dates and the updating of information progressed with multiple dependencies between Sales, Supply and Imports. This context increased the risks of bankruptcies, logistical overruns, lack of visibility and reactive decisions.

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The lack of integration also made it difficult to generate strategic scenarios, limiting the ability to analyze alternatives and adapt decisions to market changes. Puma needed more speed, more collaboration and more operational intelligence.

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The need to transform the process and consolidate a unified model

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To increase its competitiveness and ensure product availability at the right time, Puma Mexico defined as its central objective to build a more intelligent, scalable and connected process. The company sought to integrate everything from order capture to purchase negotiation and logistics monitoring, into a collaborative model capable of supporting both tactical planning and daily execution.

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The challenge was not limited to automating tasks: it involved improving coordination between areas, ensuring a single view of the end-to-end process, and strengthening analytical capacity to evaluate alternatives, simulate scenarios and make decisions based on reliable data. Puma needed an operation that was less dependent on manual tasks, more traceable and with an information flow that would allow the integration of business variability, types of customers, purchase windows, demand levels, refills, in a single structured system.

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In addition, the company required its own process capabilities S&OP And S&OE: total visibility of inventories, alignment between demand and supply, integration of purchases with global production, monitoring of lead times and dynamic adjustment of the plan. Such a model should be flexible to adapt to seasons, campaigns, launches and a variety of SKUs, without losing consistency or agility.

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The Pyplan solution: a collaborative, flexible and scalable model to transform the operation

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With Pyplan, Puma Mexico implemented Compass Supply Chain, a tool designed to unify and optimize the entire supply process. The solution allowed us to consolidate order information, automate the creation and negotiation of purchases, and centralize logistics updates on a single platform. This resulted in a continuous operational flow that reduced complexity, eliminated reprocesses, and improved collaboration between areas.

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The platform was configured with a holistic approach: from data integration to the visibility of orders at each stage of their cycle. Its flexibility made it possible to adapt business rules, product structures and particular requirements of the corporate process, maintaining a scalable architecture ready for growth and new releases.

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The model also opened the door to advanced simulation and analysis capabilities, allowing us to accelerate the generation of strategic scenarios and enable prescriptive decisions. The integration of intelligent agents and generative AI —typical of the Pyplan ecosystem— provided capabilities to automate queries, detect risks, explain trends and suggest actions. In addition, the natural connection between tactical planning (S&OP) and daily execution (S&OE) strengthened the link between what is decided and what actually happens in the operation.

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As a result, Puma managed to reduce operational working time by 80%, obtain greater detail and quality in its plans, improve logistics coordination and accelerate the validation of post-optimization decisions. The process went from being reactive and manual to becoming predictive, collaborative and analytical, significantly increasing the maturity of the supply chain.

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Discover how Pyplan can transform your end-to-end planning
https://pyplan.com/es/entre-en-contacto/

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