Logistics Planning - Daily Planner - Analysis View
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Logistics Planning - Daily Planner - Analysis View
| Date | Route ID | Origin | Destination | Vehicle Type | Total Weight (kg) | Cargo Volume (m³) | Status |
|---|---|---|---|---|---|---|---|
| Scheduled Departure | Planned Arrival | Distance (km) | Expected Duration (hrs) | Actual Duration (hrs) | |||
| Performance Metrics | Trend (%) | Fuel Efficiency (km/L) | On-Time Rate (%) | ||||
| 2025-04-05 | R1023 | New York, NY | Chicago, IL | Truck - 18 Wheel | 8,500 | 42.5 | In Transit |
| 2025-04-05 | R1189 | Los Angeles, CA | Dallas, TX | Van - 3.5 Ton | 2,300 | 14.2 | Delayed (1 hr) |
| 2025-04-05 | R1376 | Houston, TX | Miami, FL | Truck - Flatbed | 6,800 | 38.1 | On Time (ETA: 12:30) |
| Total Daily Loads: | 17,600 kg | 94.8 m³ | 2/3 On Time | ||||
| Average Performance: | 96.2% | 6.7 km/L | 73% | ||||
Excel Template Description: Logistics Planning Daily Planner (Analysis View)
Purpose: This Excel template is specifically designed for Logistics Planning, enabling users to manage, monitor, and analyze daily logistics operations with precision and efficiency. It serves as a comprehensive Daily Planner that aggregates real-time operational data while offering advanced analytical capabilities through an Analysis View. The template supports supply chain managers, logistics coordinators, and operations teams in optimizing transportation schedules, warehouse workflows, delivery timelines, inventory levels, and resource allocation on a daily basis.
Sheet Names & Structure
The template comprises four primary sheets that work together seamlessly:- Daily Operations Log: The core input sheet where daily logistics activities are recorded. This includes pickup/delivery schedules, route assignments, vehicle status, and team assignments.
- Analysis Dashboard: The central hub for visualizing performance metrics, KPIs, trend analysis, and anomaly detection. It aggregates data from the Daily Operations Log for in-depth insight.
- KPI Tracker: A structured table that calculates and monitors key performance indicators such as on-time delivery rate, fuel efficiency per mile, average delivery time variance, and warehouse turnaround time.
- Data Validation & Reference Tables: Contains lookup tables for regions, vehicle types, carrier codes, employee roles, and priority levels to ensure consistent data entry across all logs.
Table Structures and Column Definitions
Daily Operations Log (Main Table)
This table is structured to capture granular daily logistics activity.| Column Name | Data Type | Description |
|---|---|---|
| Date & Time (Start) | Date/Time (dd/mm/yyyy hh:mm) | Start time of the delivery or pickup operation. |
| Date & Time (End) | Date/Time (dd/mm/yyyy hh:mm) | |
| Delivery ID | Text + Number (e.g., DEL234567) | |
| Customer Name | Text (String) | |
| Region/City | List (from Reference Table) | |
| Pickup Location | <Text (Warehouse or Depot ID) | |
| Destination Location | Text (Address or Warehouse Code) | |
| Vehicle ID | ||
| Driver Name | ||
| Pickup/Delivery Type | ||
| Priority Level | ||
| Status | ||
| Expected Duration (hrs) | ||
| Actual Duration (hrs) | ||
| Fuel Usage (Liters) | ||
| Mileage (km) | ||
| Notes |
Formulas Required for Dynamic Functionality
To support real-time tracking and analysis, the following formulas are embedded throughout the template:- On-Time Delivery Rate:
=COUNTIF(StatusRange,"Delivered")/COUNTA(StatusRange)
(Used in KPI Tracker to calculate daily success rate.) - Delay Calculation:
=IF(ActualDuration > ExpectedDuration, ActualDuration - ExpectedDuration, 0)
(Identifies and quantifies operational delays.) - Fuel Efficiency:
=Mileage / FuelUsage(in km/L)
(Used to evaluate vehicle performance over time.) - Dashboard Summary Formulas:
Use ofSUMIFS,COUNTIFS, andAVERAGEIFSto group data by date, region, driver, or vehicle type for trend analysis. - Status Color Coding:
Formula-driven conditional formatting applied based on Status (e.g., red for "Delayed", green for "Delivered").
Conditional Formatting Rules
To enhance visual clarity and enable quick identification of critical events:- Status Column: Red text/background for “Delayed”, Green for “Delivered”, Amber for “In Transit”.
- Delay Duration: If delay > 1 hour, highlight cell in red.
- Fuel Efficiency: Cells below average (e.g., < 5 km/L) highlighted in yellow; very low (< 4 km/L) in red.
- Prioritized Deliveries: Highlight rows with “High” priority using a dark blue background.
User Instructions
To use this Excel template effectively:
- Open the template and navigate to the Daily Operations Log sheet.
- Enter daily logistics activities starting from today. Use dropdowns for region, vehicle ID, status, priority, and type.
- Ensure time entries are in 24-hour format (e.g., 14:30).
- Update the “Status” column as operations progress (e.g., from Scheduled → In Transit → Delivered).
- The Analysis Dashboard auto-updates based on new data entries.
- Navigate to the KPI Tracker sheet to monitor weekly and monthly performance trends.
- Use the Reference Tables for consistency: do not enter custom values unless absolutely necessary.
- Schedule weekly backups of your data (save as .xlsx) to avoid data loss.
Example Rows (Daily Operations Log)
| Date & Time (Start) | Delivery ID | Customer Name | Region/City | Pickup Location | Status |
|---|---|---|---|---|---|
| 05/04/2025 08:15 | DEL234567 | CityMart Superstore | Downtown, NY | WARE-HQ-NY1 | Delivered |
| Date & Time (End) | Actual Duration (hrs) | Fuel Usage (L) | Mileage (km) | Notes | |
| 05/04/2025 11:45 | 3.5 | 28.6 | 196.3 | Pickup delayed by 10 min due to traffic. | |
| Date & Time (Start) | Delivery ID | Status | Priority Level | ||
| 05/04/2025 13:30 | DEL234568 | In Transit | High | ||
| Date & Time (End) | Actual Duration (hrs) | Fuel Usage (L) | |||
| - | - | - |
Recommended Charts and Dashboards (Analysis View)
The Analysis Dashboard includes the following visualizations:- Daily On-Time Delivery Rate Chart: Line graph showing percentage of deliveries completed on time per day over the past 30 days.
- Delivery Volume by Region: Bar chart comparing total daily deliveries across regions.
- Fuel Efficiency Trend: Scatter plot with mileage vs. fuel consumption, including trendline for identifying performance changes.
- Status Distribution Pie Chart: Visualize the proportion of Scheduled, Delivered, Delayed, and Cancelled tasks per day.
- Driver Performance Heatmap: Color-coded table showing average delivery time deviation per driver (red = high delay).
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