diff --git a/README.md b/README.md
index 26740e1..1f4ed1a 100644
--- a/README.md
+++ b/README.md
@@ -140,6 +140,51 @@ dotnet test --collect:"XPlat Code Coverage"
 - **Integration tests** — Full API lifecycle via `WebApplicationFactory` with in-memory EF Core
 - **Auth tests** — Registration, login, token validation, duplicate user handling
 
+## Performance & Micro-Benchmarks
+
+To validate real-world readiness, the solution includes a dedicated **BenchmarkDotNet** micro-benchmark suite (`MySupplyChain.Benchmarks`) evaluating CSV parsing throughput, forecasting overhead, and CQRS handler latency.
+
+The following benchmarks were executed on:
+- **OS**: Windows 11 (10.0.26200.8457)
+- **CPU**: 11th Gen Intel Core i5-1135G7 2.40GHz, 1 CPU, 8 logical and 4 physical cores
+- **Runtime**: .NET 10.0.8 (10.0.826.23019), X64 RyuJIT AVX-512F+CD+BW+DQ+VL+VBMI
+
+### 1. ML.NET SSA Forecasting Latency
+Measures the latency of the Singular Spectrum Analysis (SSA) forecasting pipeline versus the fallback moving-average calculator.
+
+| Method | Mean | Max | P95 | Allocated | GC Gen 0 |
+|---|---:|---:|---:|---:|---:|
+| **SSA Forecast** (30-day history, 7-day horizon) | **1.134 ms** | 1.679 ms | 1.639 ms | 686.92 KB | 15.6250 |
+| **SSA Forecast** (90-day history, 30-day horizon) | **967.22 μs** | 1.194 ms | 1.192 ms | 380.92 KB | 15.6250 |
+| **SSA Forecast** (365-day history, 30-day horizon) | **857.63 μs** | 1.144 ms | 1.119 ms | 381.99 KB | 15.6250 |
+| **Fallback Moving-Average** (no model) | **1.15 μs** | 1.64 μs | 1.61 μs | 1.50 KB | 0.3662 |
+
+> [!TIP]
+> Even with a full year of sales history (365 days) and a 30-day prediction horizon, the ML.NET SSA forecaster runs in **under 1 millisecond** (857.63 μs) with zero external network overhead, confirming it is highly suitable for real-time order-processing pipelines.
+
+### 2. CQRS Commands & Queries
+Measures the end-to-end execution of MediatR command and query handlers using an in-memory database context.
+
+| Method | Mean | Max | P95 | Allocated | GC Gen 0 / Gen 1 |
+|---|---:|---:|---:|---:|---:|
+| **CreateProductCommandHandler** | **1.366 ms** | 2.580 ms | 2.470 ms | 1.36 MB | 335.9375 / 0 |
+| **CreateOrderCommandHandler** (No reorder) | **4.612 ms** | 6.458 ms | 6.185 ms | 4.52 MB | 1123.0469 / 76.1719 |
+| **GetAllProductsQuery** (50 products) | **21.44 μs** | 31.13 μs | 28.68 μs | 36.36 KB | 8.8806 / 0 |
+| **GetProductForecastQuery** (365-day history) | **311.14 μs** | 385.62 μs | 369.75 μs | 196.62 KB | 44.9219 / 3.9063 |
+
+> [!NOTE]
+> Command handlers include database seeding and complete lifecycle execution, achieving single-digit millisecond latency. Queries run in microseconds due to optimized LINQ projections.
+
+### 3. CSV Dataset Parsing
+Measures string splitting and token parsing performance on the Kaggle demand forecasting dataset using standard .NET file streaming.
+
+| Method | Size | Mean | Max | P95 | Allocated |
+|---|---|---:|---:|---:|---:|
+| **Parse test.csv** (~45K rows) | 0.9 MB | **6.514 ms** | 9.078 ms | 8.602 ms | 10.99 MB |
+| **Parse train.csv** (913K rows) | 17.3 MB | **297.895 ms** | 320.369 ms | 315.194 ms | 221.17 MB |
+
+---
+
 ## Tech Stack
 
 | Layer | Technology |