Case Study - Manufacturing Company Reduces DSO by 18 Days

The Challenge

A global manufacturing company with €850M in annual revenue was struggling with slow collections and high days sales outstanding (DSO). Their finance team was spending excessive time chasing payments while cash flow remained unpredictable.

Key Pain Points

• High DSO of 68 days (industry average: 45-50 days)
• €95M tied up in accounts receivable
• Unpredictable cash flow making planning difficult
• Manual collection processes consuming 200+ hours per month
• Inconsistent collection strategies across customer segments
• Strained customer relationships due to aggressive collections

The Solution

The company implemented BrainPredict Finance's Collections Intelligence and Cash Flow Forecasting platform, leveraging 35 AI models for payment prediction, collection optimization, and cash forecasting.

Phase 1: Payment Behavior Analysis (Months 1-2)

Deployed AI to analyze 3 years of payment history across 2,500 customers. The AI identified distinct payment behavior patterns and predicted payment probability for each invoice.

Phase 2: Collection Strategy Optimization (Months 2-3)

Implemented AI-powered collection recommendations. The AI determined optimal collection timing, channel, and messaging for each customer based on their payment behavior and relationship value.

Phase 3: Cash Flow Forecasting (Months 3-4)

Deployed AI cash flow forecasting using payment predictions. The AI provided daily, weekly, and monthly cash forecasts with 92% accuracy.

Phase 4: Automation and Integration (Months 4-6)

Automated collection workflows and integrated with ERP and email systems. The AI automatically sent payment reminders, escalated overdue accounts, and updated forecasts.

The Results

Within 12 months of implementation, the company achieved remarkable results:

DSO Reduction: 68 days → 50 days (-26%)

• Days sales outstanding reduced from 68 to 50 days
• €42M cash freed up from working capital reduction
• On-time payment rate increased from 52% to 78% (+50%)
• Past-due accounts reduced from 28% to 12% (-57%)

Collection Efficiency: +180%

• Collection time reduced from 200 hours to 45 hours per month (-78%)
• Cost per collection reduced from €85 to €22 (-74%)
• Collection success rate increased from 68% to 89% (+31%)
• Bad debt write-offs reduced from €3.2M to €1.1M (-66%)

Cash Flow Predictability

• Cash forecast accuracy improved from 65% to 92% (+42%)
• Forecast variance reduced from ±€12M to ±€2M (-83%)
• Emergency financing needs reduced by 85%
• Working capital optimization generated €8M in additional returns

Customer Relationship Improvements

• Customer satisfaction scores improved from 7.1 to 8.4 (+18%)
• Complaint rate reduced from 12% to 3% (-75%)
• Customer retention improved from 88% to 94% (+7%)
• Payment disputes reduced from 180 to 35 per month (-81%)

Key Success Factors

The company's success was driven by several key factors:

• Executive sponsorship from the CFO
• Clean historical payment data for AI training
• Integration with ERP (SAP) and email systems
• Segmented collection strategies by customer value and behavior
• Continuous monitoring and optimization of AI models

Lessons Learned

"BrainPredict Finance transformed our collections from a manual, reactive process to an automated, proactive system. Payment predictions helped us focus on the right accounts, and personalized collection strategies improved both efficiency and customer relationships. The cash flow forecasting gave us confidence to make strategic investments." - CFO

Advice for Others

• Start with payment behavior analysis to understand patterns
• Segment customers and tailor collection strategies
• Balance collection efficiency with customer relationships
• Automate routine collections to free up team for complex cases
• Use cash forecasts to optimize working capital deployment

What's Next

The company is now expanding BrainPredict Finance to their accounts payable function to optimize payment timing and capture early payment discounts. They're also implementing AI-powered financial close automation to reduce close time from 10 days to 3 days.

ROI Summary

Total first-year benefits:

• Working capital freed up: €42M (deployed at 8% return = €3.4M)
• Bad debt reduction: €2.1M
• Collection cost savings: €1.6M
• Emergency financing avoided: €800K
• Total benefit: €7.9M
• Implementation cost: €450K
• ROI: 1,656%