Juan Luna is a European leading company in meat and cheeses cutting and packaging. They offer a wide variety of products presented in different formats that can also be customized with distributor brand. In 2020, Juan Luna operated for more than 10 European countries.
Primaprix is a supermarket chain with the ‘outlet’ format that exclusively works with prime manufacturer brands with discounted prices. Primaprix opened its first store in December 2014, in April 2019 it counted with 44 stores and we designed a model to evolve logistics to reach more than 300 stores in 2026.
GOI is a 3PL that offers transport services for bulky items. They provide the transport, installation and assembly of furnitures and appliances according to customers’ needs. They also take charge of dismantling and recycling the old ones that are being replaced.
Yodeyma is a fragrance manufacturer that distributes to 17 European countries. This brand has more than 20 years of experience and it was born to allow anyone the access to a luxury perfume.
The client requested a study of its logistic operations, flows and volumes to adequate its infrastructures to its growth plan. During the analysis phase, current logistic operation, processes and IT map were reviewed; existing infrastructures were evaluated and cost and kpi analysis allowed a prioritized proposal of improvement initiatives.
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.
The client asked us to lead the selection process of a Track & Trace solution to address multiple situations depending on the fulfillment location (supplier, DC, hyper, super…), type of goods (food or non-food items), volumes of delivery (small, large…), service required by customer (express, same day, next day…), distance of customer location from fulfillment location, carrier capacity, transport mode (inhouse, crowdsourced, outsourced). During the assessment, we run simulations with different scenarios in vendor’s free trial in order to check that finalists solutions really covered our client needs.
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 a functional and technical assessment of an ad-hoc solution they were developing in house and allowed them to enable picking, packing and tracking last-mile deliveries. Technically, the solution was very good to cover their needs at that moment but it wasn’t a scalable model capable to cover both future scenarios and developments required to enable detailed operations described before so, the client asked us to assess solutions available in the market.