The enterprise friction point
Meridian operated with volatile 60-to-90 day shipper payment terms against rigid 15-day carrier freight settlements. Fuel price spikes, customs demurrage fees, and fluctuating ocean shipping rates made working capital planning unpredictable, leading to expensive short-term revolving credit draws and $140K in annual interest overhead.
Transformation objectives
- Predict multi-currency cash flow inflows and outflows 60 to 90 days in advance.
- Identify high-risk delayed invoices and automate working capital gap mitigation.
- Incorporate external port congestion and fuel index telemetry into liquidity models.
- Eliminate emergency credit line utilization through proactive liquidity rebalancing.
Discovery & architectural audit
Analysis of 3 years of accounts receivable data revealed that 35% of shipper delays followed identifiable seasonal cash-conservation patterns that traditional static ERP forecasts failed to capture.
The Fortiv AI architecture
- 01
Multi-Stream Financial Pipeline: Automated ingestion of ERP invoices, bill-of-lading milestones, fuel surcharges, and historical debtor behaviors.
- 02
Predictive Liquidity Engine: Probabilistic neural forecast model outputting 30/60/90-day cash position envelopes with confidence intervals.
- 03
Demurrage & Detention Risk Monitor: Real-time port AIS tracking correlating maritime transit delays with anticipated invoice dispute liabilities.
- 04
Treasury Optimization Dashboard: Actionable recommendation engine advising optimal supplier payment timing to maximize early-pay discounts.
Verified audit outcomes
Post-deployment impact
- 94.2% Accuracy
- On 60-day enterprise cash position forecasting
- $1.4M Capital
- In unlocked working capital optimization within 6 months
- $140,000 Saved
- In annual revolving credit interest and emergency financing fees
- 0 Cash Shortfalls
- Across 4 consecutive quarters of volatile freight rate swings
Architectural lessons learned
Blending external operational data (port dwell times) with accounting ledgers improves financial forecast precision by over 30%.
Showing confidence intervals alongside projections builds executive confidence in treasury decisions.
Future scale roadmap
Deploying automated dynamic supplier discount negotiations powered by real-time treasury surplus calculations.
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