This paper introduces a two-step machine-learning method to produce daily and weekly inflation forecasts in developing economies where official CPI is monthly and delayed. A regularized (Ridge/L1) model outperforms econometric and survey benchmarks, validated via Kolmogorov-Smirnov testing.