Raising funds from a bank requires a transparent, data-driven approach to financial planning. AIMES, our AI-powered tool, streamlines the process by providing optimal financial parameters based on key business constraints.

A mid size e-commerce company deployed AIMES to build a digital twin of their business, enabling rapid optimization of marketing spend within budget constraints. The result: 28% revenue growth, 25% customer base expansion, and 234% increase in free cash flow in just one year, all while reducing planning cycles from days to 15 minutes.

A major telecom operator deployed AIMES to navigate multi-factor financial risks—churn, currency volatility, and rate pressures—that threatened a €62.8M profit swing into loss. Using the digital twin’s AI-powered scenario analysis, the client moved from manual sensitivity analysis to real-time optimization, converting a projected €31.2M loss into strategies yielding up to €20M profit, while restoring financial stability by maintaining debt/equity ratios below covenant thresholds.

An electronics manufacturer needed to rapidly scale production capacity while minimizing capital investment risk. Deploying AIMES, the company built a transparent digital twin to evaluate machine-type scenarios in weeks instead of months, reducing decision-making time by 3x and saving $1.2M (18.2%) in unnecessary machinery investment while unlocking an additional $0.63M monthly free cash flow—turning a time-critical, complex decision into a defensible, data-driven strategy.

A home appliances manufacturer faced a critical investment decision with complex non-linear relationships between production volume, costs, and pricing. Using AIMES, investors obtained mathematically-proven precision on the exact investment level required to achieve a $100M annual profit target, replacing manual estimation with rigorous scenario testing across thousands of volume-price-cost combinations and gaining confidence in capital deployment.

This comprehensive AIMES use cases document aggregates four key industry case studies: Telecom Financial Risk Optimisation, E-Commerce Marketing Spend Optimisation, Electronics Production Scaling Optimisation, and Home Appliances Production Investment Optimisation—demonstrating AIMES’ proven impact across telecommunications, retail, manufacturing, and industrial sectors.