Structured a Global database from the internal procurement data sources automating the process to gather the data and saving 5 hours per week and thus having the potential of saving 520 hours yearly;
Generated spend analysis and planned the strategy on how to approach the sourcing for different parts of the business that resulted on potential savings of 0,55 million Dollars.
Built a tool and forecasted variable costs of 21 fulfillment centers attending the German marketplace to project the cost per labor hour for 2019 Operational Planning, decreasing total variable costs by €47M and by €0.045 per unit shipped;
Automated the process to follow the overall performance and throughput in the preparation of daily analysis reports and weekly meetings with direct response to top management saving 2 hours per day;
Managed the relationship with stakeholders from analysts to finance director in Germany and Central Eastern Europe.
Evaluated sales and after-sales customer behavior to set customer target group by market, segment and model to set up a sales plan that would boost sales by 1%;
Documented CO2 reports presented to the board of directors.
Established the price of more than 500 SKUs and 127k clients in Brazil’s Northeast region, composed by 20 warehouses and 18 retailers spread in 7 States within a team of 3 people;
Developed sales discounts’ planning with a total budget per month of approximately 1 million Euros;
Analyzed data and informed the warehouses so they could reach the clients, improving by 20% the quality of clients participating in the company’s most important sales loyalty program, increasing the market share by 5%.
Created and examined 10 productivity KPIs’ follows of the distribution in Brazil’s Northeast region to identify opportunities for corrective measures to be applied and the team’s goals to be achieved;
Reduced the factor of truck driver helpers by half (only 1 helper per truck in the end), reducing expenses by 30% and increasing productivity by 50%.