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