Data Analytics

An integrated Supply Chain and Working Capital Optimization strategy using price elasticity, inventory rotation and historical sales behavior. The portfolio was segmented to test selective discounts, high-turn products and products capable of pulling complementary categories.

The analysis identified up to MXN 110 MM in potential liquidity and modeled a +15% Enterprise Value impact through pricing, margin, inventory-to-cash conversion and free cash flow improvements.

SKU-level analysis of rotation, pricing, monetization and alternative sales channels, together with scenarios for applying released capital to early debt reduction or strategic acquisitions in the United States.

The modeled scenarios indicated up to an 83% potential increase in Enterprise Value; they do not describe a realized increase.

Route- and customer-level profitability analysis integrating commercial, operating and financial evidence, with stress tests to identify value-destroying routes, cost and volume sensitivities, and opportunities to optimize capacity, margins, EBITDA and cash.

The analysis identified scenarios with up to 13% in potential operating savings.

Financial Data Analytics, forecasting and scenario analysis across local taxes, parking meters, fines, airport fees and other sources to identify trends, seasonality, revenue drivers, sensitivities and budget-deviation risk.

Approximately USD 4,000 MM in revenue sources were analyzed. This figure is analytical scope, not new or collected revenue.

Historical-cost, policy and risk-exposure analysis, with benchmarking, coverage alternatives, scenarios and cost-benefit analysis for restructuring the insurance portfolio and optimizing risk-transfer cost.

Approximately USD 150 MM of Risk Management budget was analyzed, indicating approximately USD 7 MM, or 5%, in potential annual savings.