Inventra AI

Intelligent Inventory Optimization Platform

Inventra AI is an AI-powered, end-to-end Inventory Optimization Platform built on Azure that helps organizations maintain the perfect balance between demand, supply, and cost.
It uses machine learning, predictive analytics, and GenAI to forecast demand, optimize stock levels, reduce carrying costs, and prevent stockouts or overstock situations across multiple warehouses, SKUs, and regions.

Demand Forecasting

Leverages Azure Machine Learning and Databricks to forecast SKU-level demand using historical sales, promotions, seasonality, and macroeconomic variables.

Safety Stock Optimization

Dynamically calculates safety stock based on demand variability, lead time, and service level targets.

Reorder Point (ROP) & Replenishment Planning

Recommends optimal reorder points and replenishment quantities to avoid stockouts using ML-driven policies.

Multi-Echelon Inventory Optimization (MEIO)

Optimizes inventory across multiple locations (e.g., plant → warehouse → distributor → retailer) to minimize total cost while maintaining service levels.

Supplier Lead Time & Reliability Analysis

Evaluates supplier performance metrics to adjust replenishment strategies dynamically.

GenAI Copilot – Inventra Copilot

Natural language interaction for planners and CFOs

Prescriptive Optimization

Uses Reinforcement Learning or Linear Programming (Pyomo / Azure ML) to optimize reorder quantities and allocation.

Smart Dashboards

Interactive dashboards in Power BI Embedded / Microsoft Fabric for visualization of stock coverage, inventory health, cost trends, and service levels.

Business Benefits

25–40% reduction in excess inventory

30% improvement in order fulfillment rates

20–35% lower carrying and holding costs

15–25% better forecast accuracy

AI-powered decision support for planners and CFOs