Logistics process automation and enhanced visibility optimize supply chain in Latin America

Category

Project

Area

Supply Chain

Industry

Manufacturing

Company Size

Large enterprise

Project Duration

6 months

Challenge

The company faced manual and time-consuming processes that affected the accuracy of business rules and lacked an automated view of supply chain processes and key data. Areas such as inventory and logistics required a more efficient and data-driven approach to improve decision-making and optimize operations.

Objective

The goal was to enhance data maturity and enable faster and more informed decisions in key supply chain areas across Latin America. This was achieved by migrating existing Excel reports to Power BI, creating new reports, and developing automated dashboards for better data visualization.

Implemented solutions

Examples of Dashboards and Key Indicators

Achieved results

01

Greater data and process knowledge

The integration of dashboards provided a clearer understanding of logistics processes, helping the company make data-driven decisions.

02

Improved decision-making and faster response times

With real-time data visualization and automated reports, supply chain teams could react quickly to problems and opportunities.

Examples of gains

01

Scrap reduction

Better production data control, resulting in less waste.

02

Efficiency in matched exchanges

Identification of failures, leading to error reduction.

03

Visibility of container dwell time in ports

Lower logistics costs by monitoring container dwell time in ports.

Conclusion

The implemented dashboards delivered high strategic value by providing insights to optimize logistics processes, reduce costs, and improve customer experience. Additionally, enhanced data visibility improved competitiveness and enabled faster and more assertive decision-making, positively impacting financial results and customer satisfaction.