Pull Logic is the platform for Availability Intelligence, helping enterprises predict demand, test decisions, and automate replenishment to reduce lost sales, eliminate unproductive inventory, and improve service levels at scale.
Pull Logic is built as a three-layer system: an Availability Optimization Platform to see and prioritize risk, a Digital Twin to test decisions before acting, and Autonomous AI Agents to execute across your network. Together, they form a closed loop that keeps your supply chain in continuous readiness.
Pull Logic’s modules embed Availability Intelligence into daily operations, from demand sensing and forecasting to replenishment, assortment, and logistics execution.
Reveal true demand by capturing missed sales, substitution behavior, and willingness-to-wait signals. This gives a complete picture of market demand that most systems overlook.
Go beyond historical sales with forecasting that integrates CRM activity, quotes, market signals, and external data sources. This agent-based model adapts to shifting demand patterns and delivers forecasts with significantly higher accuracy than traditional methods helping businesses plan confidently in dynamic and unpredictable environments.
Track availability health with forward-looking KPIs like PAR (Product Availability Readiness) and RAP (Robust Autonomy Period). Identify SKU- and DC-level risks early, visualize exposure, and drill into root causes so you can prevent lost sales and avoid excess inventory before they occur.
Prioritize replenishments with demand signals, aging stock, and supplier constraints. Proprietary SKU-level Autonomy targets replace static safety stocks, cutting stockouts by up to 25% and inventory costs by 35%.
Balance inbound and outbound flows by positioning goods closer to demand. Containers are dynamically filled with SKUs based on demand, autonomy targets, and inventory, not just MOQs reducing excess stock, improving responsiveness, and cutting freight costs by up to 25%.
Optimize SKU assortments by matching inventory to zip-code level demand. This reduces dead stock, shortens shipment times, and improves conversion with products positioned closer to customers.
Connect real customer demand with inventory preparation, assembly planning, and supplier ordering in one integrated module. By modeling supplier capacity and constraints alongside demand signals, Pull Logic anticipates shortages, improves allocation, and secures availability across the network.
Track supplier lead times at the SKU level to measure true reliability. Pull Logic uses this insight to adjust autonomy targets dynamically replacing static min/max rules with smarter, demand-aligned buffers that improve availability and reduce risk from supply volatility.
Monitor availability KPIs in real time for full network visibility. Enable faster, data-driven decisions that prevent lost sales and improve supply chain responsiveness.
The Pull Logic Digital Twin mirrors your real supply chain so you can test decisions before executing them. It helps teams evaluate trade-offs, reduce risk, and move forward with confidence.
A single, live view of demand, supply, and inventory across the network.
Simulate “what-if” scenarios to compare strategies before committing.
Find the best path for cost, service, and availability using proven models.
Measure impact after execution and continuously improve decisions.
“Digital Twin simulations increased product availability from 72% to 92%, preventing millions in lost sales before execution.”
Pull Logic’s Agentic AI turns decisions into action. It continuously senses demand and supply, tests decisions through the Digital Twin, and executes across inventory, assortment, and logistics to keep products available and operations in balance.
Brings demand, supply, and inventory decisions into a single coordinated control layer.
Tests decisions safely in the Digital Twin before real-world execution.
Continuously adjusts inventory, deployment, and replenishment to maximize availability and minimize waste.
Executes validated decisions automatically across planning and execution systems.
Pull Logic’s agents turn availability decisions into real-world execution.
Ask questions in plain language and get instant, business-ready answers grounded in your data.
Simulate changes before executing. Compare scenarios and choose the most resilient path forward.
Every recommendation is fully transparent, showing the data and drivers behind each decision so teams can act with confidence.
Agents handle day-to-day operational work automatically, reducing manual effort and keeping the business moving.
Jeff Albright, a seasoned leader in the global equipment industry, shares his experience of working with Pull Logic to solve critical inventory challenges. Faced with inefficiencies and outdated processes, Jeff turned to Pull Logic’s advanced predictive tools, like the Product Availability Ratio (PAR), to optimize dealer inventory, reduce excess stock, and improve product availability. By replacing guesswork with data-driven insights, Pull Logic helped streamline operations and enhance profitability across his dealer network.