- Glitter AI
- Glossary
- Pull System
Pull System
A production and inventory management approach where work or materials are only produced or ordered when there is actual demand, minimizing waste and excess inventory.
Read summarized version with
What is a Pull System?
A pull system is a lean production methodology where work, materials, or products get created only when there's real customer demand, not forecasted need. The "pull" in the name comes from how customer orders quite literally pull products through manufacturing or service delivery, triggering each step before it in the chain.
Traditional push systems work differently. They produce based on predictions and hope to sell whatever gets made. Pull systems flip this around, working backwards from actual orders. A customer buys something, which signals the need to replenish. That replenishment order then signals the need for raw materials, and the chain continues upward. This demand-driven approach stops overproduction in its tracks, cuts inventory carrying costs, and avoids the waste of making things nobody ends up wanting.
Toyota developed the pull system concept back in the 1950s as part of their production system, and it has spread well beyond factory floors since then. Software teams manage work items this way using kanban boards. Hospitals run their supply chains on pull principles. Service organizations use pull-based scheduling to match what they can handle with what customers actually need. Really, anywhere you risk doing work before anyone asks for it, a pull system probably makes sense.
Key Characteristics of Pull System
- Demand-Triggered Production: Work starts only with confirmed customer demand or when inventory drops to a set minimum level. Forecasts and schedules don't drive it.
- Visual Signals: Pull systems rely on visual cues. Kanban cards, empty bins, digital notifications. These indicate when production or ordering needs to happen.
- Minimal Inventory: Producing only what's needed when it's needed keeps inventory levels low. That frees up both cash and warehouse space.
- Reduced Waste: Lean manufacturing considers overproduction among the worst wastes. Pull systems eliminate it by design since nothing gets made without actual demand.
- Flow-Based Timing: Instead of batch production on rigid schedules, pull systems create continuous flow. Each step receives work only when there's capacity for it.
- Self-Regulating: The system finds its own balance. Demand drops, production slows. Demand spikes, signals go out for more capacity.
Pull System Examples
Example 1: Automotive Manufacturing
Toyota pioneered pull systems with their kanban approach, which became famous worldwide. On the assembly line, each workstation keeps a small parts inventory. When a worker grabs parts to build a car, the empty container triggers a signal to the station before it: make more. That station only produces what's been used. This pattern repeats all the way back to raw material suppliers. The entire supply chain responds to actual vehicle orders instead of forecasts that could easily miss the mark.
Example 2: Coffee Shop Operations
Consider a specialty coffee shop applying pull principles to their pastry case. Rather than baking 50 croissants every morning based on last week's average sales, they bake smaller batches throughout the day based on what customers actually purchase. When the case drops to two croissants, that signals it's time to bake six more. They might run four baking cycles during the day, but waste almost nothing and always offer fresh product. The slightly higher labor costs? More than covered by the dramatic reduction in thrown-out pastries.
Example 3: Software Development
A development team uses a kanban board for managing their work. Their "In Progress" column caps at three items. Developers pull new features from the backlog only after finishing something and opening up a slot. This constraint prevents too many tasks running at once, cuts down on context switching, and keeps work flowing steadily from start to finish rather than stacking up half-done.
Pull System vs Push System
What triggers production sits at the heart of the difference: actual demand or forecasted demand.
| Aspect | Pull System | Push System |
|---|---|---|
| Production Trigger | Real customer orders or consumption | Forecasts and production schedules |
| Inventory Levels | Minimal, just enough to maintain flow | Higher, built to meet predicted demand |
| Flexibility | Highly responsive to demand changes | Less flexible, committed to planned production |
| When to use | Uncertain demand, high inventory costs, customized products | Predictable demand, volume discounts, commodity products |
| Risk | Potential stockouts if demand spikes unexpectedly | Excess inventory if forecasts are wrong |
| Cash Flow | Better, less capital tied up in inventory | More capital locked in unsold inventory |
How Glitter AI Helps with Pull System
Getting a pull system running well requires clear documentation. What are the visual signals? What are the replenishment rules? What conditions trigger new work? Teams need to capture what happens when inventory hits minimum levels, who responds to pull signals, and how reorder quantities get calculated from consumption data.
Glitter AI makes building this documentation pretty straightforward. Teams can record their pull system while it's actually running, showing how kanban cards function, where visual signals show up, and how people respond to them. This visual approach helps everyone grasp the system quickly, speeds up onboarding, and keeps pull principles consistent even when team members come and go.
When teams adjust their pull system thresholds or tweak visual signals, Glitter makes updating documentation fast. Well-maintained process documentation means everyone sees the current system. Documentation stays in sync with actual practice instead of slowly drifting out of date.
Frequently Asked Questions
What does pull system mean?
A pull system is a production approach where work or materials get created only when there's actual customer demand. Rather than making products based on forecasts and hoping they sell, the system waits for real orders before triggering production.
What is an example of a pull system?
Toyota's manufacturing line offers a classic example. Each workstation keeps limited parts on hand. When workers use parts, the empty container signals the previous station to make more. Production flows backward from actual consumption, not forward from forecasts.
Why is a pull system important?
Pull systems matter because they cut out overproduction waste, lower inventory costs, free up cash that would otherwise sit in unsold products, and match production to what customers actually want rather than potentially inaccurate forecasts.
What is the difference between push and pull systems?
Push systems produce based on forecasts and schedules, building inventory before orders arrive. Pull systems produce based on actual demand, making products only after orders come in. Push is forecast-driven while pull is demand-driven.
How do you implement a pull system?
Start by figuring out what signals will trigger production or replenishment. Set minimum inventory levels that indicate when more is needed. Then create visual signals like kanban cards or empty bins so everyone clearly sees these triggers.
Turn any process into a step-by-step guide