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#Clients

Australian Logistics Network

#Industry

Logistics & Transportation

#Client Size

Enterprise

The Bottleneck 

Lack of financial visibility and control 

Outdated Financial Tracking

Books were maintained primarily for tax reporting purposes, leading to irregular updates and lack of meaningful financial insights for management decision-making.

No Profitability Clarity

Management had no visibility into margins or cost allocation per caregiver, limiting decision-making.

Weak Revenue Controls

The month-end closing process was taking over 15 days, leaving leadership without real-time data to make strategic decisions.

Unstructured Commission Model

Marketer commissions were paid without linkage to actual performance or revenue contribution.

Decentralized Expense Management

Credit card spending was distributed across locations without centralized monitoring or controls.

Delayed Decision-Making

Lack of timely reporting prevented management from responding effectively to operational and financial challenges.

Service action

The Turnaround 

A Structured Financial System Implementation

Workflow Optimization

Daily bookkeeping and structured monthly reporting were implemented to ensure consistent and real-time financial visibility. 

Revenue and Cost Mapping

Caregiver-level cost tracking and revenue contribution models were developed to measure profitability accurately.

Centralized Financial Controls

Credit card expenses and financial processes were centralized to improve control and reduce inefficiencies

Performance-Linked Compensation 

Marketer commissions were aligned with actual business generated and hours billed.

Financial Modeling and Reporting

Overhead allocation and margin tracking frameworks were introduced to monitor business performance.

System Integration and Reporting 

Payroll and accounting data were integrated into structured reporting formats for better analysis and decision-making.

Service action

Measurable Impact and Efficiency

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Improvement

Increase in fund flow through structured tracking of revenue and collections.

0x

Cost Optimization

Payroll costs reduced from ~70–80% to 64% of revenue.

Improved Collections Efficiency 

Rejected claims were tracked, corrected, and resubmitted, improving recovery rates. 

Operational Optimization

Underperforming locations were identified, consolidated, and optimized.