Automation with Power BI
Client
Problem
TSL, a logistics company managing hundreds of trucks across various routes, faced common industry challenges related to the lack of information or inefficiencies in data collection. Specific issues included:
Time-Consuming Data Collection
Several hours a day were spent manually gathering, cross-referencing, and visualizing data.
Human Errors
The manual process was prone to data entry errors.
Inefficient Visualization
The presentation of information was neither user-friendly nor easy to interpret.
Incomplete Data
The data required to generate reports was retrieved from five separate portals, complicating the consolidation process.
Proposed Solution
To address these issues, we developed a solution with the following components:
Data Extraction
Utilizing user-friendly RPA technology, we automated data extraction from three web portals and two APIs, storing it in a centralized database. This eliminated the need for manual access to these portals, saving time and reducing errors.
Data Normalization and Cross-Referencing
The extracted data was standardized (dates, tax IDs, vehicle license plates, etc.) and rewritten into a readable table. The platform then cross-referenced data from multiple sources to produce a consolidated report, presented through Power BI.
Data Visualization
The solution enabled clients to comfortably visualize all extracted data in real time. The displayed information includes metrics such as the number of truck trips, fuel efficiency, productivity, geographic locations, and more.
Results Achieved
A process that previously required four hours daily and provided limited, inconsistent information is now updated several times a day in seconds and displayed on a Power BI dashboard.
This improvement has delivered several significant benefits, including:
Cost Savings
Reduced operational expenses due to the efficiency of the new system.
Process Optimization
Enhanced efficiency and effectiveness of logistics processes.
Reduction in Repetitive Tasks
Employees can focus on higher-value activities.
Route Optimization
Improved planning and utilization of transportation routes.
Detection of Inefficiencies and Fuel Theft
Identification of previously unnoticed issues, such as inefficiencies and fuel theft.
Speed Monitoring
Detection of zones with speeding incidents, enhancing safety.
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