Client profile

Our client, a global manufacturing leader, manages highly complex financial systems, serves thousands of customers across 20 regional markets and countries. The company manages a large network of distributors, suppliers, and channel partners to support high-volume production, logistics, and customer delivery operations.

It handles over 10K–50K active customer accounts, processes 5K–20K invoices every month and manages thousands of payment reconciliation activities weekly through its large finance and credit control operations. With more than 50K customer communications annually, the company operates within a highly complex financial and collections ecosystem that requires accurate, large-scale invoice and payment management.

Technical challenges

Our client manually manages credit control operations, that increased workloads and frequent errors. Several critical challenges needed to be addressed to optimize operations and reduce manual effort, such as:

Delayed invoice processing

The credit control team spent 2-3 days manually logging into SAP, generating reports, and manually matching entries line by line, delaying collections visibility and slowing customer follow-ups.

Manual data validation

The team was manually validating invoice data, cross-checking payments, and tracking outstanding balances using SAP reports. This created duplicate entries and missed payment updates that impacted accuracy and response timelines.

Communication delays

Our client’s team manually drafted reminder emails with overdue invoices and attached supporting documents for every customer interaction. This increased the chances of incorrect attachments and inconsistent messaging.

Operational scaling issues

As invoice volumes and customer accounts expanded, the existing process became unsustainable. The team spent more time on repetitive administrative work instead of resolving payment disputes and accelerating collections.

Our solution

We implemented RPA (Robotic Process Automation) solutions using Microsoft Power Automate Desktop to help our client automate SAP invoice management. The automation framework was designed to replace manual SAP workflows from report extraction to invoice validation and customer communication.

Solution image

Our team streamlined invoice management and minimized manual intervention by integrating predefined business rules and automating validation checkpoints. This improved transactional accuracy across high-volume customer accounts.

Manual reporting automated

We developed a Power Automate Desktop workflow integrated with secure SAP authentication protocols to automate the credit control team’s daily manual reporting activities. The automation bot was configured to navigate the required modules and export critical reports such as the aging and pending invoice reports, reducing manual effort, and minimizing execution delays.

Automated SAP login and data retrieval

Created predefined rules to automate data processing

To improve processing accuracy, we implemented automated validation logic that processed the exported reports using predefined rules and quickly identifying overdue invoices. The automated workflows cross-checked invoice balances against payment records and overdue amounts, reducing manual verification effort and minimizing reconciliation errors.

Data processing and validation checks

Implemented RPA bots to automate email communication

We developed an automated communication workflow that generated personalized emails with an overdue invoice for each customer. The RPA bot automatically attaches correct invoices, inserted pending payment details, and sent customized reminder emails. Automating personalized emails ensures faster and more consistent customer communication.

Automated email preparation and delivery

Configured automation pipeline for uninterrupted operations

Our team configured the automation pipeline to maintain uninterrupted operations, ensuring timely email delivery with precise details without any manual intervention. The scheduled workflows automatically completed SAP data extraction, validation, and email delivery within defined timelines. Ultimately, the credit control team can now focus on tasks that are of higher value, like customer account management.

Scheduled automation

Business goals and measurable outcomes

Business objective Business benefit delivered
Reduction in manual effort Automating emails and report generation reduced time spent from 2-3 days to few hours, freeing up valuable resources for other tasks.
Improved cash flow management Timely reminders led to faster customer payments and better cash flow, reducing outstanding balances by 15% within the first quarter.
Increased accuracy Automation eliminated human errors in processing large datasets, improving the reliability of financial data.
Scalability Implementing RPA solutions client handled high transaction volumes seamlessly without additional headcounts or costs.
Employee satisfaction Mundane tasks were automated allowing the team to focus on strategic financial analysis, improving employee satisfaction

Tech stack

  • RPA Platform:
  • Microsoft Power Automate Desktop (PAD)
  • Enterprise Systems:
  • SAP ERP (aging report export, invoice and payment modules)
  • Cloud Infrastructure:
  • Amazon Web Services (AWS)
  • Automation & Workflow:
  • Robotic Process Automation (RPA), Scheduled Workflows, Business Rule Automation
  • Data Processing:
  • Automated Data Extraction, Invoice Validation, Reconciliation Checks
  • Communication Automation:
  • Automated Email Generation, Personalized Payment Reminders, Notification Workflows
  • Architecture:
  • End-to-End Invoice Processing Automation with SAP Integration
  • Security:
  • Secure SAP Authentication, Role-Based Access Controls, Controlled Workflow Execution
  • Platform Capability:
  • High-Volume Invoice Processing, Automated Collections Management, Scalable Financial Operations

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