---
title: Replenishment Timeline and Cycles
description: Replenishment Timeline and Cycles
---
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1. [Knowledge Base](https://help.nextail.co/en?hsLang=en)
2. [Replenishment](https://help.nextail.co/en/replenishment?hsLang=en)
3. [Demand Forecast logic](https://help.nextail.co/en/replenishment?hsLang=en#demand-forecast-logic)
# Replenishment Timeline and Cycles
Understanding the **replenishment timeline** is essential for ensuring that products are available in-store when customers want them, while also avoiding overstock. This timeline outlines the end-to-end process of how inventory is forecasted, ordered, delivered, and displayed, as well as how future demand is planned.
### **Timeline Breakdown**
#### **1. Before the Arrival of Current Replenishment**
- **Previous Weeks Used for Forecast (X):** Replenishment planning begins by analyzing historical sales data. The forecast model uses a defined number of previous weeks (X) to predict future demand.
- **Picking & Packing (Warehouse):** Once the forecast determines what is needed, the order is prepared at the warehouse. This includes picking the right quantities and packing them for shipment.
- **Transport:** Goods are then transported from the warehouse to the store. This step varies in duration depending on geographical and logistical factors.
- **Store Display:** Upon arrival, the products are unpacked and displayed in the store, making them available for customers.
⏳ At this point, the current replenishment has arrived in-store.
#### **2. Planning Horizon (Y) – Until the Arrival of Next Replenishment**
- This phase covers the time until the **next replenishment** is scheduled to arrive.
- It is essential to **forecast demand** accurately for this window, known as the **Planning Horizon (Y)**, to ensure stock coverage.
### **Forecasting in the Timeline**
#### **Stock Forecast**
This is the **projected stock level at the store** at the moment the **next replenishment** is due to arrive. It takes into account:
- Current stock levels
- Ongoing sales
- In-transit inventory
#### **Demand Forecast**
This represents the **expected sales during the Planning Horizon (Y)**. It helps define how much stock is **needed** to meet demand without falling into stockouts or overstocks.
📌 **Goal:** Ensure that **Stock Forecast ≥ Demand Forecast** by the time the next replenishment arrives.
### **Replenishment Cycles**
Each replenishment follows a **cyclical pattern**, repeating the process of calculation, shipment, and stock coverage. The diagram below illustrates how multiple replenishment cycles overlap in practice:
- **Replen. n-1 → Replen. n → Replen. n+1**
- Each cycle starts with the **replenishment calculation**, followed by the **lead time** (time needed for preparation, transport, and store display).
- Once stock from the current replenishment arrives, it is expected to **cover sales until the next cycle** is completed.
#### **Key Concepts:**
- **Lead Time** The period between when a replenishment is calculated and when the stock physically arrives at the store. It depends on the logistics setup between each warehouse and store.
- **Planning Horizon** The period after a replenishment arrives during which the delivered stock should cover expected demand. It should be at least equal to the replenishment cycle to avoid stockouts.
- **Coverage** The number of days (or weeks) the received stock is expected to last, based on predicted sales velocity.
- **Stockouts** Occur when actual sales exceed forecast or delays affect the timely arrival of goods. Monitoring **real stockouts** helps fine-tune the forecasting and lead time assumptions.
🔄 A well-balanced replenishment cycle ensures continuous stock availability without overloading stores with excess inventory.
##### **Why This Matters**
Managing the replenishment timeline and cycles effectively ensures:
- Consistent product availability on shelves
- Optimal use of warehouse and transport resources
- Lower inventory holding costs
- Better alignment with real customer demand
### **Key Takeaways**
- Replenishment is not a one-time event but a recurring cycle.
- Accurate forecasting, realistic lead times, and coverage planning are essential to avoid service disruptions.
- Continuous monitoring and adjustment are required to align forecasts with actual sales and lead time performance.
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