Advanced Forecasting
with Ronin

At the core of the solution sits our FarSight engine, which uses a combination of statistical models alongside AI and Machine Learning algorithms to accurately predict your demand forecast.

Forecast Run Products List
Dashboard Demonstration
Imputed & Outlier Value Image
Features

An accurate and insightful demand forecast is the cornerstone for effective Inventory Management.
This is why Ronin should be at the helm of your Amazon ecommerce operation.

Time Series Decomposition
Time Series Decomposition

Analyze your sales data and truly understand the underlying patterns in the sales history by reviewing the Trend, Seasonality and Residuals for each product as separate components on insightful plots.

Ronin helps you to really develop incomparable insight into each product's sales data by decomposing it to the most foundational levels.

Outlier & Missing Value Imputation and Auditing
Outlier & Missing Value Imputation and Auditing

Outliers and Missing Values are automatically detected, flagged and imputed to generate a reliable baseline forecast not skewed by unrealistic values.

You are also able to provide additional insights by manually flagging or imputing values as you see fit. All flagged and adjusted values are audited for full transparency.

Automatic Pattern Detection & Model Selection
Automatic Pattern Detection & Model Selection

The FarSight engine automatically recognizes the pattern in your sales data for each product and categorizes it accordingly.

This pattern is used to select the most appropriate Statistical and Machine Learning models to train to predict your future sales for the product. Once all models are trained, the best performing model is selected.

Rigorous Cross-Validation
Rigorous Cross-Validation

Forecast confidently knowing how many times each model has been trained and validated against slices of unseen data to derive the forecast accuracy.

This guarantees optimal real-world performance in line with the chosen predictive model, so you end up with a demand forecast you can trust.

Seasonality Detection & Tagging
Seasonality Detection & Tagging

Our solution conducts hypothesis testing to identify what products exhibit seasonality in their sales history.

This intelligence is used to generate dependable forecasts which reflect this underlying seasonality where appropriate—so you can expect your forecast to exhibit those seasonal spikes during known holidays and general busier periods.

Comprehensive Demand Planning Grid
Comprehensive Demand Planning Grid

View the full breakdown of the Demand Forecast of your products by being able to see all the components of the forecast, from the Baseline volumes to Planning Overrides and volume uplifts driven by promotional campaigns.

This all means you are never left questioning the numbers you see on-screen.