Logistics

v1.0.0

Bullwhip Echo

Quantify order variance amplification across multi-echelon supply chains.

Analyze how demand variance amplifies through supply chain tiers. Simulate ordering policies, forecast demand, and assess inventory impact to reduce the bullwhip effect.

bullwhip-effectvariance-amplificationinventory-optimizationdemand-forecastingmulti-echelonmonte-carlo
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Quantify order variance amplification

What It's Great For

Common scenarios where Bullwhip Echo shines

01

Supply chain risk assessment

Evaluate how demand variability propagates through supplier tiers.

02

Inventory policy optimization

Test different replenishment policies to minimize stockouts and overstock.

03

Forecast method selection

Compare forecasting techniques to reduce order variance.

04

What-if analysis for parameter changes

Simulate lead time or service level changes to see bullwhip impact.

05

Data quality checks

Detect gaps and outliers in demand series before running analysis.

Features

What Bullwhip Echo can do for you

Multi-echelon bullwhip estimation

Quantify variance amplification across your entire supply chain.

Monte Carlo simulation

Assess bullwhip ratio distribution under parameter uncertainty.

Sensitivity analysis

Identify which chain parameters most influence the bullwhip effect.

Inventory impact assessment

Calculate extra safety stock and degraded service levels.

Demand generation & forecasting

Create synthetic demand patterns and test forecasting methods.

Ordering policy simulation

Simulate Order-Up-To, Min-Max, and EOQ policies.

All Features

  • Multi-echelon bullwhip estimation
  • Bullwhip ratio computation
  • Bootstrap confidence intervals
  • Composite Amplification Index (CAI)
  • Synthetic demand generation
  • Pattern demand generation
  • Data quality checks
  • Parallel variance ratio
  • One-step-ahead forecasting
  • Safety stock delta calculation
  • Net stock amplification
  • Inventory oscillation analysis
  • Effective service level under bullwhip
  • Monte Carlo simulation
  • Sensitivity analysis
  • Exceedance probability
  • Order-Up-To policy simulation
  • Min-Max (s,S) policy simulation
  • EOQ policy simulation
  • MCP server for AI integration

Integrate

Connect programmatically via the public API or MCP server

REST API
https://bullwhipecho.codecide.net/api

Use this base URL for API requests.

Interactive API Docs →
MCP Server
https://bullwhipecho.codecide.net/mcp

Add this URL to your MCP client (Claude, Cursor, etc.)

View MCP docs →

Professional services

Made to fit.

If Bullwhip Echo is almost what you need, we can close the gap. Branding, data, integrations, infrastructure, or deeper customizations.

Branding Logo, colors, and brand artifacts adapted to your identity.
Private hosting Dedicated deployment — your instance, your infrastructure.
Data & presets Domain-specific datasets, units, and default values for your context.
Feature extensions New capabilities built into your version of the app.
Service connectors Integrations with your existing tools, APIs, and data sources.
Ecosystem integration Authentication, SSO, and team or user management.
Feature sponsorship Fund a roadmap item and get it shipped to the public version faster.
White-label license Redistribute the app under your own brand and domain.
Dedicated API / MCP Your own API key, higher limits, and a faster dedicated backend.
PWA customization Tailored offline behavior and install experience for your users.
Onboarding Available on request.
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No commitment. We'll figure out what makes sense.

Bullwhip Echo is free to use under the MIT license.

Bullwhip Echo is provided for estimation and educational purposes only. We make no warranty about the accuracy, completeness, or fitness of its results. Always verify outputs before applying them to designs, decisions, or safety-critical work.