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Digital transformation in logistics with Power BI improves efficiency and supply chain management

Project

Area

Supply Chain – Logistics and Supply Chain Management

Industry

Home appliance manufacturing

Company size

Large enterprise

Project Duration

3 years

Challenge

The company faced challenges in managing its supply chain, including manual processes, slow execution, and errors in business rules. There was a lack of a clear and automated view of critical data for decision-making, affecting efficiency and agility in strategic actions.

Solution

The solution involved building a robust data structure, migrating manual Excel reports to Power BI. Additionally, interactive and customized dashboards were created for each supply chain area, integrating data into a data lake, facilitating real-time data visualization and analysis.

Project phases

Wave 1 – Development of an executive dashboard to monitor strategic indicators clearly and objectively.
Wave 2 – Creation of supply chain and logistics dashboards, focusing on indicators like OTIF (On-Time In-Full) to improve delivery compliance.
Wave 3 – Implementation of inventory control dashboards, backorder, and stock-out monitoring, improving inventory management and forecasting.
Wave 4 – Creation of international logistics dashboards, optimizing transportation management and global supply chain visibility.
Wave 5 – Integration of production dashboards, incorporating manual data and creating an MVP layer to ensure real-time visibility.

Problem

The company relied heavily on manual processes and Excel reports, leading to errors, lack of agility, and a fragmented view of logistics data. Decision-making was slow, with a high margin of error, negatively impacting operational efficiency.

Objective

The main goal of the project was to transition outdated reports to Power BI, creating new reports from scratch, automating processes, and providing an integrated and data-driven view for supply chain, logistics, and production areas.

Summary

The project was structured into 5 phases, covering over 24 dashboards and 100 interactive screens. Launched in 2021, it lasted three years and resulted in the creation of an interactive and efficient data visualization platform for logistics management, improving decision-making and optimizing critical supply chain processes.

Results

Operational efficiency: Reduced waste and optimized resource usage, with better production control and lower scrap costs.
Logistics improvement: Enhanced visibility into carrier performance and container dwell time in ports, reducing logistics costs.
Inventory management: Better inventory control, preventing product shortages and backorder issues.
Customer experience enhancement: Increased customer satisfaction with improved on-time, in-full (OTIF) delivery rates.
Predictive analytics: 12-month forecasting of financial and operational indicators, allowing the company to anticipate problems and adjust strategies quickly.

These results boosted the company’s competitiveness, improving operational efficiency, cost optimization, and customer satisfaction and loyalty.