Nestlé breaks the traditional model and adopts planning that thinks, predicts and decides on its own

A dynamic market that requires daily precision

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Nestle operates in one of the most challenging supply chains in the food and beverage industry. With thousands of SKUs, multiple channels — retail, distributors, brokers and e-commerce — and demand highly influenced by climate, regional events, promotions and consumer habits, operational complexity grew every year.

Added to this context was a critical challenge: distribution planning (DRP) was based on manual processes, with an immense volume of data and little capacity to react to daily changes in demand. Much of the team's time was spent on low-value operational tasks: data extraction, validations, order creation, and repetitive reviews.

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The result was a reactive cycle. Planners had limited visibility into disruption risks, inventory variations between nodes, logistical restrictions, and deviations from the plan S&OP. The lack of integration between demand, supply and execution signals made it difficult to anticipate problems and coordinate the network in real time. Nestlé needed a profound evolution: moving from a manual DRP to an intelligent model, automated and synchronized with every point in the chain.

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The need for a comprehensive transformation of the DRP

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The company defined a clear vision: to build a continuous Demand & Supply Planning process capable of integrating daily signals, automating operational decisions and connecting tactical planning (S&OP) with execution (S&OE).

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To achieve this, several critical needs needed to be addressed:

• Incorporated Demand Sensing to capture real variations in consumption and adjust for the short term.
• Build a Unified data lake that would harmonize sell-out, sell-in, inventories, production and logistics restrictions.
• Completely redesign the DRP flow, replacing manual tasks with intelligent automation.
• Integrate advanced analytical capabilities to assess availability, optimize allocations, balance inventories and anticipate bankruptcy risks.
• Unify visions between areas: sales, logistics, supply chain and operations should work on the same information, with shared criteria and standardized processes.

The project not only sought to accelerate the distribution process: it aimed to change the way Nestlé made decisions every day, enabling a level of agility impossible in the previous scheme.

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How Pyplan promoted the new digital distribution chain

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With Pyplan, Nestlé implemented a unified, flexible and fully scalable model for its DRP process.

The solution integrated modules of Demand Sensing, Requirement Calculation, Source Optimization, Availability Check, Fair Share Allocation, Load Optimization and a collaborative environment for publishing the plan. All within an automated flow that replaced operational activities with applied intelligence.

The first step was the construction of a Corporate Data Lake, where Pyplan enters, cleans, validates and harmonizes daily sell-out data, inventories, orders, production and restrictions. This repository became the basis for predictive and prescriptive models that today guide the entire process.

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The Pyplan architecture allowed the creation of a digital DRP capable of:

• Analyze thousands of SKU—location combinations in seconds.

• Compare real demand signals versus the S&OP cycle forecast.

• Recalculate daily needs with dynamic models.

• Optimize product allocation in the face of availability restrictions

• Balance inventories between nodes to reduce shortages and excesses.

• Generate automatic sourcing proposals ready for planner approval.

Generative AI and the intelligent agents incorporated into the platform act as analytical co-pilots: they explain variations, detect anomalies, prioritize alerts and allow alternative scenarios to be simulated before executing any adjustments.

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This architecture radically transformed the team's profile: what used to require hours of daily repetitive tasks is now completely automated. Planners spend 75% of their time analyzing, evaluating risks, making decisions and optimizing the network. The impact on performance was immediate: substantial improvements in availability, reduced risk of breakage, and a much more controlled dispersion of inventory.

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Nestlé didn't just digitize its DRP: it built a living, predictive and prescriptive process that connects planning with the daily reality of its operation, enabling a more resilient, collaborative chain prepared for the challenges of the future.

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Transform your planning with AI and unified models.

Request a personalized demo and explore what Pyplan can do for your business: https://pyplan.com/es/entre-en-contacto/