Day-to-day planning involves dynamic variables: fluctuations in demand, supplier deadlines, logistics costs and production capacity. Managing all this requires not only experience - but tools that turn data into decisions.<\/p>\n\n
With 27 years of experience working with leading companies in Brazil and abroad, the Mathematical Software Solutions<\/strong> develops solutions that connect forecasting, inventory, production and distribution in an integrated, secure and automated way.<\/p>\n\n Here's how our tools make the planning process more agile, precise and collaborative.<\/p>\n\n O Forecaster<\/strong> Linear automatically identifies the best statistical method for each product and cleans the databases intelligently - eliminating outliers and distortions.<\/p>\n\n In addition, the system promotes collaboration between marketing, finance and sales<\/strong>allowing you to build a breakdown<\/em> demand from aggregated inputs. The result is a more consistent plan, aligned between all areas.<\/p>\n\n Our stock policy<\/strong> identifies the best coverage strategy based on the margin on products sold<\/strong> and cost of excess<\/strong>.<\/p>\n\n With the Otimix<\/strong>The inventory policy adjusts automatically whenever there is a variation in sales, production or lead time<\/em>This ensures a balance between availability and profitability.<\/p>\n\n The S&OP consensus meetings<\/strong> become much more productive with scenario simulations that are agile enough to be made during the meeting<\/strong>.<\/p>\n\n O digital twin<\/strong> offers an integrated view of the impacts on P&L, production capacity and machine occupancy<\/strong>This allows decisions to be based on data - not assumptions.<\/p>\n\n The distribution planning (DRP)<\/strong> automatically generates the distribution plan and load plan for D+0 and D+1<\/strong>ensuring an immediate response to daily demands.<\/p>\n\n In addition, the load plan for the next 45 days<\/strong> allows anticipating freight contracts<\/strong> and optimize logistics costs.<\/p>\n\n With the demand sensing<\/strong>The system detects changes in consumption and proactively replans distribution and production<\/strong>, reducing disruptions and excesses.<\/p>\n\n Our materials planning (MRP)<\/strong> uses AI algorithms to react to changes in the production plan without creating instability<\/strong> in purchase orders.<\/p>\n\n The system ensures availability of materials<\/strong>respecting the supplier flexibility<\/strong> and storage capacity<\/strong>This prevents whiplash and guarantees operational stability.<\/p>\n\n With integrated solutions - from forecasting to execution - Linear<\/strong> transforms planning into a continuous, collaborative and data-driven process.<\/p>\n\nPrevisor: intelligence in demand forecasting<\/h5>\n\n
Stock policy: balance between cost and service<\/h5>\n\n
S&OP process: real-time decisions<\/h5>\n\n
DRP: intelligent early distribution<\/h5>\n\n
MRP: stability of supply and rapid response<\/h5>\n\n
Conclusion<\/h5>\n\n