Project Domain: Logistics
Tools used: Power BI, Power Query, SQL, MS Excel, SAP BW
Project details (General): Between May 2019 and May 2021 I worked as a Logistics Chieff in Agro-Industrial multinational company (a US company with offices in Argentina). In this position, I developed this Logistics Spend Dashboard. Having this tool, provided us with the following benefits:
- In the context of a scenario with very high inflation (53% in 2019, 36% in 2020 and around 51% in 2021), we had a source of fresh data that allowed us to negotiate better tariff increases with our suppliers.
- We were able to compare actual freight prices for customers in the same region and act accordingly.
- We could easily spot inefficiencies and create plans to reduce them.
- We were able to optimize routes, based on the cost to serve from each of our plants.
Project details (Details):
- In order to pull the data to create this Dashboard, I connected Power BI directly to SAP BW, SQL servers and Excel files.
- The data was later worked in Power Query.
- Many measures and columns were added later using DAX language.
Programming Languages: SQL, DAX, M.
Project Participation: I worked independently on this project
Confidentiality: For reasons of confidentiality, the Dashboard can not be shared here (previews are provided below). For the same reasons, client names are not shown.
Previews:
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent