Stockly: AI Inventory Replenishment for Discrete Manufacturers
Stockly is an AI-driven inventory replenishment solution designed specifically for discrete manufacturers, built by Analytos.
The Challenge
Kanban card sizes, reorder points, and safety stock levels are typically set once and forgotten—even while demand, supplier lead times, and engineering changes continuously shift. As settings drift out of alignment with reality, manufacturers face two costly outcomes: cash tied up in unneeded parts and unexpected shortages of critical components.
How Stockly Works
Stockly continuously keeps inventory settings aligned with real-world conditions in four steps:
Learn: Reads historical usage data and tracks actual supplier delivery performance—not just the lead times listed on file.
Simulate: Runs thousands of future supply and demand scenarios per SKU to measure how frequently a given stock level would result in a shortage.
Optimise: Recommends the optimal inventory level per SKU to cover realistic risks without locking up unnecessary working capital.
Explain: Delivers every recommendation alongside a plain-English rationale and financial impact estimate, allowing planners to review, challenge, and confidently act on suggestions rather than overriding them.
Key Capabilities
AI Control Tower: Centralized monitoring and high-level inventory visibility.
Per-SKU Insights: Granular analysis and optimization metrics for every item in your catalog.
Supplier Performance Tracking: Real-world data tracking lead-time variability and supplier reliability.
Scenario Builder: Test custom supply chain variables and model outcomes proactively.
Conversational Digital Twin: Interactive simulation tool allowing teams to query hypothetical risks—such as "What happens if our main supplier is out for three weeks?"—and compare outcomes side by side.
Universal Compatibility
Stockly adapts to your existing workflows—whether you plan using Kanban, MRP, reorder points, or spreadsheets.
