TASK / PROBLEM
Excessive Working Capital to fulfil transactions
Excessive Cash allocation per Agency
- Manual forecasting per agency leads to over allocating cash to full-fill transactions.
Competitors pricing and fees or unusual events were not taken into account in the forecast models
- Manual process for forecasting the need of cash available in each one of the 6K + Agencies
- Reduce the manual effort and time spent on market research for events that influence remittance
SOLUTION
260 Forecast Models enriched with AI sourced Competitors Pricing
- Computer Vision Capability Utilizes AI to gather exchange fee data from competitors’ promotions.
- Automated Process Fully automates the data collection process for event that influence remittance reducing manual intervention.
- Real-Time Updates Provides near real-time updates on competitor pricing, ensuring up-to-date information is always available.
- Developed 260 forecast models enriched with competitors pricing.
OUTCOME/ RESULTS
Substantial Working Capital Reduction through optimal forecasting
- U$ 20 M Reduction on Working Capital
- 50+% accuracy improvement on our Gen AI/ML Models vs prior models.
- Market Responsiveness: Improved ability to quickly adjust prices in response to market changes, maintaining competitive edge.
Cash Allocation Reduction: Notable decrease in cash allocations due to more accurate forecasting
