Pinalli, the leading Italian platform for the distribution of beauty and body care products, was established in 1984 in Fiorenzuola d’Arda (Piacenza) when Luigi Pinalli and his wife Liliana Segalini decided to open their first perfumery. It was a welcoming place where customers were guided in choosing products that best suited their needs. Today, spontaneity, Italian character, and expertise are the core values of Pinalli, serving as a bridge between the company’s history and future, aiming to build lasting connections over time and strong relationships with its community.


Pinalli was in search of a unique solution that could manage, within a single platform, all processes dedicated to stock management, guiding ordinary operational activities through standard workflows, and supporting management in promptly identifying and anticipating any critical situations.


Pinalli had the following needs:

  • Identify a reliable partner with experience in demand planning and inventory management to accompany Pinalli in its growth journey.
  • An application that could leverage industry best practices but be configured and customized based on the specific needs of a multi-brand retailer.
  • A solution in continuous evolution capable of seizing opportunities offered by new artificial intelligence technologies.
  • Manage the entire procurement and distribution process using statistical algorithms that study sales events, allowing for inventory planning based on demand at individual nodes in the chain.

The sedApta suite was identified as the ideal solution to manage the digital transformation of the Purchasing and Distribution area. It serves as a useful application to govern and optimize the end-to-end process and as an analytical tool to proactively monitor stock, supporting the company in strategic and operational decision-making processes.


The benefits obtained through the use of the Demand Management, DRP, Inventory Management, and Order Promising modules of the sedApta suite are:

  • Improved demand planning with the support of mathematical and collaborative tools that clean historical data from any outliers, interpret and anticipate growth/decline trends, and include the effect of promotional activities.
  • Formalization of the process and greater control over short/medium-term purchasing plans by identifying bottlenecks.
  • Improved introduction of new products and stores through structured management of phase-in-phase-out and related impacts on demand planning.
  • Enhanced stock control with a complete view of future stock projections at all levels of the distribution chain.
  • Reduction of stockout cases through the introduction of stock targets at the central warehouse and individual points of sale to ensure correct replenishment at the hub and distribution nodes, with coverage dynamically following demand fluctuations.
  • Reduction of holding costs by identifying overstock product-store combinations, supporting the recall of such products.
  • Greater support for decision-making through targeted reporting, focusing on sales, stock, and allocation across the network.

The project also served as an opportunity for a change management process in the operational domain of demand and product replenishment, integrating new logics into the processes through the new supporting system.



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