The Coswell group operates in various sales channels: large-scale distribution, pharmacies, perfumeries, e-commerce, with well-known and successful brands such as Istituto Erboristico L’Angelica, Bionsen, Biorepair, Blanx, Fave di Fuca, Isomar, Prep, Vim.

Coswell is a company that operates professionally and dynamically to offer innovative high-quality products, thanks to its modern and efficient production facilities, research laboratories, solid collaborations with the best private research centers, and major universities and scientific institutes.


The objectives that the Coswell group set at the beginning of the project with sedApta are as follows:

  • Have as reliable forecasts as possible, automatically proposed by statistical algorithms, adopting a best-fit strategy to select the most suitable for different types of product clusters, and for all sales channels (previously calculated manually using a unique algorithm for all product types).
  • Reduce stockout or overstock situations in distribution warehouses while optimizing the value of the warehouse itself, thanks to improved forecast accuracy and demand-driven manufacturing planning.
  • Manage the Phase in/Phase out of finished products and KITs with their components more efficiently (previously managed entirely manually).
  • Measure the validity of forecasts (MAPE and forecast accuracy) at different levels and on different forecast versions.
  • Develop a plan for factories with finite capacity (previously plans were made at infinite capacity, causing a high effort for our factories to align demand with production capacity).
  • Have an expanded view of stock in warehouses over a medium to long-term horizon, thanks to projecting future inventory levels.


To meet the client’s needs, the sedApta group has planned the adoption of the Sales Analysis, Sales Collaboration, DRP, and Resource & Supply Planning modules.


  • Sales Analysis allows the analysis of sales historical data, generates a statistical forecast for new products using similar products, integrates the effect of promotions, and identifies/removes peaks due to exogenous factors or noise in data reading.
  • Sales Collaboration allows comparing the statistical forecast with the forecast developed by the sales area and deciding together on the most reliable future scenario.
  • Distribution Requirements Planning transforms the sales forecast into purchase or production demand for factories, considering the frozen period, safety stock, lead times, and batches.
  • Resource & Supply Planning makes the elaborated production plan feasible by anticipating or postponing productions based on the finite capacity of factories. The solution has been implemented in production facilities in Castello D’argile (INCOS), San Marino (LCS), Turin (Famac), and to support outsourced production planning (third parties).



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