Logistics Planning - Home Template - Daily
Download and customize a free Logistics Planning Home Template Daily Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.
| Date | Shift | Driver Name | Vehicle ID | Route | Pickup Locations(Count)(List)(Status) | Delivery Locations(Count)(List)(Status) | Total Packages | Expected Arrival Time | Actual Arrival Time | Status |
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-04-01 | Morning | Jane Smith | TRK-7891 | Route A - Central Zone | 5 Downtown, West Mall, East Plaza, North Terminal, City Center Pending |
6 South District, Riverside, High Tower, Greenfield Park, Industrial Hub, Airport Logistics Center Pending |
245 | 10:30 AM | - | In Transit |
| 2024-04-01 | Evening | Mike Johnson | TRK-3456 | Route B - Northern Corridor | 4 Northwest Market, Riverview, Oakwood Estates, Skyline Plaza Completed |
7 Hillside Village, Ridge Road, Sunrise Heights, Airport Terminal 3, Northern Depot, Medical Center Warehouse, Tech Park Logistics Hub Pending |
310 | 06:45 PM | - | In Transit |
| 2024-04-01 | Night | Sarah Lee | TRK-8821 | |||||||
| Daily Summary: 3 Routes | 555 Packages | 2 In Transit, 1 Completed | ||||||||||
Logistics Planning Daily Home Template – Comprehensive Overview
This Excel template is specifically designed for logistics professionals, supply chain managers, and operations teams who require a streamlined, daily planning system to monitor and optimize their transportation schedules, inventory levels, carrier performance, and delivery timelines. As a Home Template with a Daily focus within the broader scope of Logistics Planning, this tool provides an intuitive central hub for real-time tracking and decision-making. It's structured to be used every day as part of the operational rhythm, enabling quick updates, immediate visibility, and proactive problem resolution.
Sheet Structure
The template is composed of five main sheets that work seamlessly together:
- Daily Log Overview (Home Dashboard): The central dashboard providing high-level insights, key performance indicators (KPIs), and navigation to other sheets.
- Delivery Schedule: A detailed table listing all daily delivery and pickup activities with status tracking.
- Carrier Performance Tracker: Logs carrier reliability, on-time delivery rates, issues encountered, and feedback scores.
- Inventory Status & Replenishment: Monitors current stock levels across key warehouses or distribution centers and triggers reorder alerts.
- Data Input & Validation Log: A hidden sheet used for formula validation, audit trails, and data consistency checks (not visible to regular users).
Table Structures and Column Definitions
Daily Log Overview (Home Dashboard)
This is the user’s primary interface. It displays critical metrics at a glance.
| Column | Data Type | Description |
|---|---|---|
| Today's Date (Auto-filled) | Date (Text/Date) | Auto-populates using =TODAY() |
| Total Deliveries Scheduled | Number | Total count of deliveries planned for today.(Formula: =COUNTA(Delivery Schedule!B:B)-1) |
| On-Time Delivery Rate (%) | Percentage | Average of on-time performance across all carriers (linked from Carrier Performance Tracker). |
| Pending Deliveries (Unscheduled) | Number | Count of deliveries not yet assigned. |
| Stockout Alerts | <Number | Total items with inventory below reorder level. |
| Average Transit Time (Days) | Decimal (2 decimal places) | Calculated average of delivery time across all completed shipments. |
Delivery Schedule Sheet
This is the operational backbone for daily logistics execution.
| Column | Data Type | Description & Formula Example |
|---|---|---|
| Shipment ID (Auto) | Text/Number (Auto-increment) | =IF(ISBLANK(A2), "SHIP-"&TEXT(TODAY(),"yyyymmdd")&COUNTA(A:A), A2) |
| Date | Date | Expected delivery/pickup date. Formatted as YYYY-MM-DD. |
| Customer Name | Text (Limited to 50 characters) | User input with dropdown validation. |
| Delivery Location | Text | City, State, or facility ID. |
| Carrier Name | Text (Dropdown List) | List includes: FedEx, UPS, DHL, In-house Trucking. |
| Pickup Time | Time (24-hour format) | e.g., 08:30 |
| Delivery Window (HH:MM) | Text/Time | e.g., 10:00–12:00 |
| Status (Dropdown) | Text (List) | Pending, In Transit, Delivered, Delayed, Cancelled. |
| Driver Assigned | Text/Name | Name of assigned driver or team. |
| Notes | Text (Long) | User comments (e.g., special instructions). |
Carrier Performance Tracker Sheet
Maintains a historical record to assess carrier reliability over time.
| Column | Data Type | Description & Formula Example |
|---|---|---|
| Carrier Name (Unique) | Text | List of carriers with no duplicates.(Validation: Data Validation > List from unique values in column). |
| Total Shipments (30-day) | Number | =COUNTIFS(Delivery Schedule!C:C, A2, Delivery Schedule!B:B, ">&="&TODAY()-30) |
| On-Time Deliveries (30-day) | Number | =COUNTIFS(Delivery Schedule!C:C, A2, Delivery Schedule!B:B, ">&="&TODAY()-30, Delivery Schedule!F:F, "Delivered", Delivery Schedule!H:H, "<="&Delivery Schedule!I:I) |
| On-Time Rate (%) | Percentage | =IF(B2=0, 0%, C2/B2) |
| Average Delay (Hours) | Decimal (1 decimal place) | =AVERAGEIFS(Delivery Schedule!H:H, Delivery Schedule!C:C, A2, Delivery Schedule!F:F, "Delayed") |
| Last Feedback Score | Number (1–5) | User input: 1 = Poor; 5 = Excellent. |
Inventory Status & Replenishment Sheet
Ensures stock levels are maintained to prevent outages.
| Column | Data Type | Description & Formula Example |
|---|---|---|
| Item ID (Auto) | Text/Number (Auto-increment) | =CONCATENATE("ITEM-", TEXT(ROW()-1, "000")) |
| Product Name | Text | Description of product. |
| Current Stock Level | Number (Whole) | User input or from ERP sync. |
| Reorder Point | Number (Whole) | The minimum stock level before reordering. |
| Needs Replenishment? | Boolean (Yes/No) | =IF(D2<E2, "Yes", "No") |
| Last Restock Date | Date | User input or auto-update via formula. |
Formulas Required (Key Examples)
=TODAY()– Auto-fills current date on the Home Dashboard.=COUNTA(range)– Counts entries in delivery schedule.=IF(ISBLANK(A2), "SHIP-"&TEXT(TODAY(),"yyyymmdd")&COUNTA(A:A), A2)– Auto-generates shipment IDs.=COUNTIFS(...)– Used for carrier performance and inventory tracking.=AVERAGEIFS(...)– Calculates average delay time per carrier.
Conditional Formatting Rules
- Status column in Delivery Schedule: Red "Delayed", Green "Delivered", Yellow "In Transit".
- On-Time Rate in Carrier Tracker: Green if ≥95%, Amber if 80–94%, Red if <80%.
- Stock Level vs Reorder Point: Red highlight for items below reorder threshold.
- Pending Deliveries count: Turns red if >5 to flag urgent attention.
User Instructions
To use this template effectively:
- Open the workbook and navigate to the Daily Log Overview sheet (Home Dashboard).
- Ensure today’s date is auto-filled. If not, press F9 to refresh.
- Add new deliveries on the Delivery Schedule sheet using drop-downs for consistency.
- Daily update the status of each shipment (e.g., "Delivered" or "Delayed").
- If inventory levels are low, update the Inventory Status & Replenishment sheet and notify procurement.
- Use conditional formatting to identify issues at a glance.
- At end-of-day, review KPIs on the Home Dashboard and save as a new file with date in name (e.g., "Logistics_Daily_2025-04-05.xlsx").
Example Rows
Delivery Schedule Example:
| Shipment ID | Date | Customer Name | Location | Carrier Name | Pickup Time |
|---|---|---|---|---|---|
| SHIP-2025040517836941793286855389147 | 2025-04-05 | ABC Electronics | New York, NY | FedEx | 07:30 |
| Status: | In Transit (Yellow) | ||||
Recommended Charts & Dashboards (Home Template)
- On-Time Delivery Rate Trend Line Chart: 30-day rolling average of on-time performance.
- Pie Chart: Distribution of deliveries by carrier.
- Gantt-style Timeline: Visual representation of delivery windows and timelines (using conditional formatting and bar charts).
- Inventory Heat Map: Color-coded grid showing stock levels across products, highlighting low-stock items in red.
This Daily Logistics Planning Home Template ensures operational transparency, enables timely intervention, and supports data-driven decision-making. Designed for daily use and easy scalability across departments or locations, it is a vital tool for modern logistics excellence.
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