replenishment

At a glance

• Editor score
  6.3 / 10
• Pricing
  Open source
• Best for
  Developers testing replenishment policies
• Paid from
  Free
• Facts checked
  21 Sep 2026

• Where it wins

  • Simulates policies against historical or synthetic demand
  • Supports k*RMSE, k*MAE, and percentile-target optimization
  • Works with CSV and DataFrame input workflows

• Where it doesn't

  • Not a hosted inventory-management application
  • Scope does not cover multi-location or multi-echelon optimization
  • Documentation is the listed support channel

Our verdict on replenishment

replenishment is an open-source Python library for developers and small teams building or evaluating inventory-replenishment logic. It simulates replenishment policies against historical or synthetic demand, optimizes safety-stock and percentile-target policies, and visualizes policy decisions on replenishment time series. CSV and DataFrame workflows make it suitable for teams that already manage demand data in Python, while notebook examples provide a starting point for simulation and optimization workflows. The project is oriented toward development and analysis rather than day-to-day inventory management through a hosted application.

Its strongest capability is the focused set of replenishment-policy and safety-stock methods. Users can apply mean-forecast safety-stock optimization, k*RMSE and k*MAE methods, percentile-target policy optimization, and forecast-level buffering for point-forecast policies. Visual policy comparison helps developers examine alternative decisions on replenishment time series instead of evaluating one policy in isolation. This makes the library a practical fit for testing replenishment assumptions, comparing policy behavior, and incorporating simulation into a Python-based workflow.

The trade-off is breadth. replenishment does not present the wider operational scope associated with full inventory optimization suites, including multi-location, multi-echelon, and service-level capabilities. Installation is provided through pip, and the project is tested with Python 3.10 through 3.13; support is provided through documentation. Choose it when the priority is an open-source, developer-oriented environment for replenishment simulation and policy optimization. Choose an alternative when you need hosted inventory management or broader network-level optimization functions.

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replenishment pricing

replenishment fact sheet

Alternatives to replenishment

• PTC Servigistics Advanced Inventory OptimizationA specialized platform for optimizing service-parts stock across complex supply chains.9.2
• Slimstock Slim4ERP-connected forecasting and replenishment for complex, multi-location inventory networks.8.7
• ToolsGroup SO99+A broad, enterprise-focused optimizer for uncertain demand and multi-location inventory.8.6

See all replenishment alternatives →

Featured on iTechGuides

replenishment is listed in our Inventory Optimization Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update