- 97%
Reduction in asset inventory time
Bank Audi Saradar streamlines fixed asset management with Tragging software, reducing inventory time from hours to 10 minutes per branch.
About Bank Audi
Bank Audi Saradar is a leading financial institution in Lebanon, offering a wide range of banking services to individuals and businesses. With a strong commitment to innovation and customer satisfaction, the bank has established itself as a trusted partner in the Lebanese financial landscape.
The challenge
Bank Audi Saradar, a leading bank in Lebanon, faced significant challenges in managing and inventorying its fixed assets across its 56 branches spread throughout the country. The traditional inventory process was time-consuming and required substantial effort from branch teams, negatively impacting operational efficiency and increasing operating costs.
Services Used:
Solution
Tragging: A Catalyst for Efficient Fixed Asset Management at Bank Audi Saradar
To address these challenges, Bank Audi Saradar implemented the Tragging software for fixed asset management. The software was deployed in all medium and large branches, enabling branch managers to conduct weekly inventories efficiently.
The Results
After implementing Tragging, branch managers were able to conduct inventory tasks in record time, completing the process in just 10 minutes per branch. This marked a significant achievement compared to traditional methods that could take hours. This transformation not only improved operational efficiency in the branches but also saved time and resources, allowing the team to focus on more strategic tasks.
- Enhanced operational efficiency
- Improved accuracy
- Increased transparency
- Cost savings
- Improved compliance
Conclusion
A Strategic Investment in Fixed Asset Management Efficiency
By adopting Tragging Fixed Assets, Bank Audi Saradar was able to streamline its fixed asset inventory process and make it more efficient. This success story is a prime example of how technology can contribute to improved performance and enhanced efficiency in large organizations.
97%
Reduction in asset inventory time
0.7%
Number of errors or discrepancies
98%
Asset reconciliation accuracy
