Transformational Manual Reconciliation Process to Automated RPA-Based Solution in UAE’s Dynamic Real Estate Industry

Growing With Our Clients

Problem
Statement

The US-Based retail store chain was dealing with High error reporting in the invoicing process, One-Many relationship between PO and invoices, Validation and payment were tiresome because of the varied product line, Ownership challenges due to distributed structure at an area level, Tracking and responding back on time was getting difficult resulting in poor partner experience
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Problem
Statement

The real estate industry in UAE is highly competitive and dynamic. One of the leading real estate companies, with active relationships with more than 5 banks and 160 bank accounts, faced a critical challenge in reconciling banking statements. The process of matching 'like' data that were not an exact match, along with three different data sheets, was highly error-prone, leading to incorrect reporting. The entire reconciliation process was done on Excel, which increased the likelihood of copy-paste errors. This posed a significant challenge for the real estate company in terms of accurate reporting and timely decision-making. In addition, the communication and follow-up required for reconciliation were entirely manual. As a result, the company decided to explore the use of Robotic Process Automation (RPA) to automate the reconciliation process and improve the accuracy and efficiency of their operations.
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What We Can Do

Our Expectations

BI reports that can be generated on-demand, with real-time insights into the status of the reconciliation process.
Perform data entry and transaction execution while adhering to our business rules.
Employ fuzzy logic-based data matching to reconcile accurately.

Used
Technology

oracle
oracle
oracle
Where Can We Help?

Our Solution

Implementation of RPA: Helped the real estate company implement RPA to automate the entire reconciliation process. This eliminated the need for manual data entry and matching, thereby reducing the likelihood of errors and improving accuracy. Customized bots: Design and development customized bots that can match data that are not an exact match, reducing errors and improving the efficiency of the reconciliation process. Integration with multiple data sources: Integration of their banking data from multiple sources into a single platform, making it easier to reconcile and generate accurate reports.

Real-time monitoring: Enabled real-time monitoring of the reconciliation process, empowering the real estate company to identify and resolve issues quickly. Automated reporting: Automating the reporting process, generating accurate reports on time, and reducing the turnaround time for decision-making.

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Elimination of Human Errors

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Reduction in
time

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Reduction in Employee Workload

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Reduction in the company's (FTE),

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Annual Cost Savings

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