Case Study

High-Volume NID and Tax Verification Automation for Banking Operations

Industry

Fintech

Product Type

Automation

Duration

3 days

Year

2023

Project Overview

Be Data Solutions Limited delivered a rapid automation solution for a leading financial institution (Bank) in Bangladesh to support a large-scale customer data correction and verification initiative.

The client needed to replace outdated NID numbers with updated NID numbers for approximately 500,000 customer records. This was not a simple data update exercise. The work involved retrieving the correct new NID number against each old NID number from a Bangladesh government source, then using the updated NID number to perform an additional verification step through the Bangladesh government tax portal. Based on that outcome, the customer record status had to be updated accordingly.

Because of the volume, repetitive validation steps, and dependency on external government portals, the process would have been extremely slow and risky if handled manually. To solve this, Be Data Solutions Limited designed and implemented a Java-based automation workflow that completed the project within just 3 days.

Business Challenges

Very High Record Volume

  • The institution needed to process around 500,000 customer records. At this scale, even a small amount of manual effort per record would result in a very large operational burden. The project needed an approach that could handle bulk verification without slowing down the business.

Legacy-to-Updated Identity Mapping

  • The core requirement was to replace old NID numbers with the correct updated NID numbers. This required each legacy identity number to be checked against an external government source and accurately mapped before moving to the next step. Any mismatch at this stage could affect the reliability of the entire process.

Multi-Step Sequential Workflow

The project was not limited to one validation point. It required a structured sequence:

  • Use old NID number
  • Identify the corresponding new NID number
  • Use the new NID number for tax verification
  • Capture the result
  • Update customer record status

At high volume, this type of chained verification can become slow, error-prone, and difficult to manage manually.

Urgent Turnaround Requirement

  • The task had to be completed in a very short period. The client needed a delivery approach that was not only accurate, but also fast enough to meet immediate operational needs. The entire project was expected to move at execution speed, not at the pace of a traditional manual back-office process.

Solutions Delivered

Custom Java-Based Automation Solution

  • Be Data Solutions Limited developed a custom automation solution using Java to execute the required workflow end to end. The automation was designed specifically for high-volume processing and repetitive data verification tasks involving external web-based sources.

Automated Old-to-New NID Conversion

  • The first stage of the automation used the customer’s old NID number as the input. The bot then accessed the relevant Bangladesh government source, searched the record, and captured the updated NID number. This created a reliable bridge between legacy customer data and the current national identification format.

Automated Tax Status Checking

  • Once the new NID number was identified, the automation used that updated number to perform verification through the Bangladesh government tax portal. This step helped determine whether the customer had the relevant tax status available in the official system.

End-to-End Processing Pipeline

  • Rather than handling the two tasks separately, the solution combined them into one automated process flow: Old NID → New NID Identification → Tax Verification → Status Update
  • This reduced handoffs, removed duplicate effort, and ensured that each record moved through a consistent validation path.

Large-Scale Data Handling

  • The solution was designed to handle a very large number of records with speed and repeatability. Instead of depending on human operators to navigate the same steps hundreds of thousands of times, the automation processed records systematically and efficiently.

Operational Status Update Support

  • After tax verification, the final result was used to update the required customer status. This ensured that the outcome of the automation was not just informational, but operationally useful for the client’s next business step.

Solution Approach

To deliver the project within a short timeline, the work was structured around a focused automation-first model:

Step 1: Input Preparation

  • Customer records with old NID numbers were prepared as the source dataset for processing.

Step 2: Identity Lookup Automation

  • The automation searched the government source using each old NID number and captured the corresponding updated NID number.

Step 3: Secondary Verification

  • The newly retrieved NID number was then used to perform a tax-related verification from the relevant government source.

Step 4: Result Capture

  • The outcome of the tax verification was captured for each customer in a structured way.

Step 5: Status Update

  • The processed result was then used to support customer record status updates.

This stepwise structure ensured that the workflow remained traceable, repeatable, and scalable.

Results & Outcome

Delivering Impactful Results Across Key Performance Areas

Project Completed Within 3 Days

One of the strongest outcomes of the project was the delivery speed. A workflow involving around 500,000 records, government data lookup, tax verification, and status processing was completed within only 3 days.

Reduction

Massive Reduction in Manual Effort

Without automation, the process would likely require a large team spending considerable time onrepetitive portal-based searches and checks. The automation removed the need for this manual effort and dramatically reduced operational dependency on human processing.

Faster Data Correction at Scale

The solution enabled the institution to update large volumes of customer identity information much faster than a conventional manual process could support.

Better Accuracy and Consistency

Manual processes at this scale often introduce inconsistency, skipped steps, or input errors. By following a defined automated workflow, the solution improved consistency across the entire dataset.

Improved Operational Readiness

The automation did not stop at data retrieval. It supported downstream operational use by enabling result-based status updates, making the output directly useful for business teams.

High-Impact Delivery Under Tight Timeline

The project demonstrated Be Data Solutions Limited’s ability to deliver practical, enterprise-grade automation for urgent, high-volume operational requirements.

Tech Stack

The Engine Behind the NID and Tax Verification Automation for Banking Operations

Java

Custom Automation