To increase sales during the Christmas season, Douglas asked us to create a stock allocation model for the representative references of this period, gifsets. Based on the sales history, brand weight per store and stock available, target stock levels per SKU were assigned based on the sales accumulated during this season and the sales profile obtained from the last campaign. Stock for online channel was considered as well. Stock out and over stock at stores were measured daily using a color code to prioritize shortages that could be attended from the warehouse.
Having an important growth during the last years that triggered an expansion if their factory and warehouse, the client asked us to calculate optimum warehouse model to stock finished goods for both infraestructures and processes. To start with this project, a previous phase should be done to define warehouse sizing: a deep analysis of production planning processes.
Douglas Spain asked us to select a forecast and replenishment solution to optimize stock management increasing service levels and reducing inventory costs.The selected solution should provide coverage to the replenishment requirements for stores, e-commerce and distribution center. Although the client has an ERP, their capabilities to manage the demand are limited.
The client asked us to review their web operations with the aim of improving their processes in order to achieve greater customer satisfaction and increase sales. The client wanted a new strategic approach to their website where the commitment to e-commerce, online communication, web positioning and loyalty through social networks became its most important global marketing tool.
After analysing current warehouse processes and identifying infrastructure and equipments limitation, we used information obtained during previous project phase regarding to stock sizing and flows definition, such as volumes to be handled, mono and multi client references and logistic handling units used for picking.
The client requested us the analysis and definition of infrastructures and handling processes of auxiliary manufacturing materials. For this, a study was made considering the quantity to be consumed of auxiliary material by manufacturing lot, taking into account the defined stock policies (project made for finished product).