https://file.aiquickdraw.com/mathbot/file/1730245975760it6vcjxp.jpg

To determine the "Week 3 Replenishment Units" for each store, let's analyze the data available in the image:

1. **Store Inventory On Hand:** The current stock level for each store.
2. **Total 4 Week Sales Plan:** The forecasted total sales for each store over four weeks.
3. **Weekly Sales Plan (Forecast):** Forecasted weekly sales per store.

Since we want replenishment for **one week** (Week 3), here’s a basic approach to calculate it:

### Calculation Method:
The replenishment units for each store in Week 3 can be estimated as:
\[
\text{Week 3 Replenishment Units} = \text{Weekly Forecast for Week 3}
\]

### Week 3 Replenishment Units Calculation
- **Store 1:** 313 units
- **Store 2:** 205 units
- **Store 3:** 499 units
- **Store 4:** 178 units

These values align with the Week 3 Forecast column in the table.

I’ll note these values for the yellow-highlighted cells:

1. **Store 1:** 313
2. **Store 2:** 205
3. **Store 3:** 499
4. **Store 4:** 178

Would you like a detailed breakdown of how this replenishment strategy works or have any questions?

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### Follow-up Questions:
1. How would the replenishment strategy change if Week 2 actuals exceeded the forecast significantly?
2. What additional factors might influence weekly replenishment calculations in a real scenario?
3. How would a safety stock level adjustment affect the replenishment amount for each store?
4. Could a seasonality factor influence the weekly forecast, and how would that affect replenishment planning?
5. If the planned store on hand exceeds actual inventory, how should the replenishment strategy adapt?

### Tip:
When using forecasts for replenishment, consider adjusting for recent sales trends to ensure accurate stock levels that meet demand without overstocking.

Given the actual sales data, current on hand, planned on hand, and sales plan, how many estimated units would you forecast to replenish each store for one week?

Learn how to calculate weekly replenishment units for each store based on inventory on hand, forecasted sales, and capacity planning. This example uses data from four stores to forecast units required for optimal stock levels, with key concepts in inventory management and demand planning.

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