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CASE STUDY

Eliminating Manual Reconciliation Hassles Using Growexx’s AI-Enabled Reconciliation Automation

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Industry

Retail, E-Commerce

Work Done

Summary

This case study explores how Growexx’s AI-enabled reconciliation solution, Recogent, helped a global enterprise streamline its month-end closing process by reducing reconciliation time, improving transaction accuracy, and eliminating manual work.

About the Client

The client is a large-scale retail and e-commerce organization managing thousands of transactions daily across multiple subsidiaries. With operations spanning different time zones and financial regulations, their accounting teams were constantly under pressure to meet month-end deadlines while ensuring accuracy in financial reporting.

The Challenge: A Tedious and Slow Financial Closing

The client’s month-end reconciliation process was inefficient, relying on old manual methods and causing delays in operations and compliance issues.

Their finance team faced major bottlenecks every month, leading to:

  • Delayed Financial Closing: Reconciliation cycles stretched to 20-25 days, delaying the month-end close.
  • High Manual Workload: Accountants were spending countless hours tracking transactions, verifying balances, and resolving discrepancies.
  • Error-Prone Process: Manual data entry and line-by-line spreadsheet tracking led to missing transactions and reconciliation mismatches.
  • Compliance Risks: Lack of real-time tracking meant errors could go unnoticed until audits, leading to compliance risks.
The client’s leadership team sees manual reconciliation as an unsustainable burden, turning financial closing into a stressful, repetitive cycle.
Every month, the finance team finds itself buried in spreadsheets, chasing approvals, and scrambling to fix errors—leaving little time for strategic work.

Recogent: AI-Powered Reconciliation for Faster Closing

Traditional reconciliation tools and ERP software often require extensive manual effort, slowing down financial closing cycles.
Recogent changed that by delivering a fully AI-powered solution that automated transaction analysis, predicted mismatches, and provided proactive insights without the need for manual intervention.

How We Implemented Recogent

Implementing Recogent wasn’t just about automation, it was more about modernizing and reshaping the way reconciliation is done.
The process started with seamless ERP integration, allowing Recogent to ingest financial data without disrupting the client’s ongoing operations.
Next, we trained the AI models on historical transaction data, helping them recognize anomalies and suggest accurate matches.
Once deployed, Recogent automated complex matching workflows, eliminating the need for manual intervention in reconciliation tasks.
To ensure finance teams had full control over the process, we built a custom dashboard providing actionable insights into transactions, discrepancies, and approvals.
Finally, interactive training sessions helped the accounting team transition smoothly, enabling them to rely on AI for smarter, faster reconciliation.

Why the Client Chose Recogent

The client’s finance team had experimented with multiple reconciliation methods before partnering with Growexx, but nothing matched the efficiency and intelligence of Recogent.
Here’s what they had to say about making Recogent their top choice:
“What stood out was how effortlessly Recogent fit into our existing system. We didn’t have to change our processes—it simply worked.” — Finance Director
“The AI-driven insights were a game-changer. Instead of chasing down errors, we now get instant recommendations on how to resolve discrepancies.” — Senior Accountant
“Closing our books used to be a manual nightmare. Now, with Recogent, we’ve cut our reconciliation time by 80%, and our team can finally focus on strategy instead of spreadsheets.” — CFO

Key Outcomes

The client went from spending weeks on reconciliation to getting it done in days, with fewer errors and a stress-free close.
Here’s how Recogent improved its overall reconciliation process
Challenges Outcome
Manual reconciliation took 20-25 days AI-powered reconciliation completed in just 2 days
High risk of errors & compliance issues 99% accuracy with AI-driven transaction matching
Finance team overwhelmed with repetitive tasks 70% of manual work eliminated
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Technologies used

Oracle-ERP
Oracle-Fusion-Cloud-logo
Oracle-Analytics

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