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Logistics Planning - Asset Tracking - Financial View

Download and customize a free Logistics Planning Asset Tracking Financial View Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.

Asset ID Asset Type Current Location Last Maintenance Date Depreciation Value (USD) Insurance Value (USD) Total Lifecycle Cost (USD)
AS-2023-1058 Truck - Heavy Duty Dallas, TX 2024-01-15 $98,743.20 $165,500.00 $284,243.20
AS-2023-1176 Refrigerated Van Chicago, IL 2024-03-10 $76,955.40 $138,900.00 $215,855.40
AS-2023-1341 Container Ship Los Angeles Port 2023-11-05 $875,600.80 $1,492,350.00 $2,367,950.80
AS-2023-1498 Drone - Delivery Denver, CO 2024-04-03 $1,875.50 $3,675.00 $5,550.50
AS-2023-1619 Warehouse Forklift Phoenix, AZ 2024-05-18 $37,540.30 $65,890.00 $103,430.30

Excel Template for Logistics Planning with Asset Tracking – Financial View

This comprehensive Excel template is specifically designed to support logistics planning through advanced asset tracking, offering a financial perspective crucial for operational efficiency and strategic decision-making. Tailored for logistics managers, finance coordinators, and supply chain analysts in transportation companies, warehousing firms, and industrial manufacturers, this template integrates real-time asset monitoring with detailed financial analytics. By combining Logistics Planning, Asset Tracking, and a dedicated Financial View, the model enables organizations to optimize fleet utilization, control maintenance costs, forecast budget allocations, and monitor return on investment (ROI) for assets.

SHEET NAMES AND PURPOSES

  • 1. Asset Master List: Central repository containing all tracked assets with unique identifiers and baseline data.
  • 2. Tracking Log (Daily/Weekly): Detailed operational log recording daily asset usage, location, status, and maintenance activities.
  • 3. Financial Performance Dashboard: The main financial view displaying KPIs such as depreciation, total cost of ownership (TCO), utilization rate vs. cost per hour/day, and ROI calculations.
  • 4. Maintenance & Repair History: Full record of all past and scheduled maintenance events tied to each asset.
  • 5. Budget Forecast & Actuals: Comparative view tracking planned versus actual spending across asset categories (e.g., fuel, repairs, labor).
  • 6. Dashboard Summary (Visual): A dynamic visual summary with charts and graphs providing instant insights into performance trends.

TABLE STRUCTURES AND COLUMNS

Asset Master List Table (Sheet 1)

ColumnData TypeDescription
Asset ID (Unique)Text/NumberUnique identifier (e.g., TRK-001, VEH-237)
Asset TypeList: Truck, Trailer, Forklift, Drone, ContainerCategorizes the physical asset type.
Model & ManufacturerTextE.g., Volvo FH16 2023 Model
Date Acquired (Purchase)DatePurchase date for depreciation calculations.
Initial Cost ($)Number (Currency)Original purchase price including taxes and delivery.
Lifespan (Years)NumberEstimated useful life for depreciation purposes.
Salvage Value ($)Number (Currency)Estimated residual value at end of lifespan.
Daily Depreciation ($)Formula(Initial Cost - Salvage Value) / (Lifespan * 365)
Current LocationText (Dropdown List)E.g., Warehouse A, Depot B, On Route.
StatusList: Active, Under Maintenance, Idle, DecommissionedStatus for real-time tracking.

Tracking Log Table (Sheet 2)

<<
ColumnData TypeDescription
Date (Log Entry)DateWhen the tracking entry was made.
Asset IDText/Number (Linked to Master)ID reference from Asset Master List.
Mileage/Hrs UsedNumberDaily usage metric depending on asset type (e.g., km, hours).
Fuel Consumption (Ltrs/Gal)NumberFuel used that day.
Labor Hours (Assigned)NumberHours worked by personnel managing the asset.
Location at End of DayText (Dropdown)Pick from predefined locations.
Status UpdateList: Operational, Delayed, Maintenance RequiredDynamic update for logistics planning.
Maintenance FlagBoolean (Yes/No)If maintenance is required today.

FORMULAS REQUIRED

  • Daily Depreciation: =ROUND((Initial_Cost - Salvage_Value) / (Lifespan_Years * 365), 2)
  • Total Cost of Ownership (TCO): =Initial_Cost + SUM(Fuel, Repairs, Labor, Insurance) + (Daily_Depreciation * Days_Used)
  • Utilization Rate: =Total_Hrs_Used / Total_Possible_Hrs
  • COST Per Hour: =TCO / Total_Hrs_Used (if >0)
  • ROI Calculation: =(Revenue_From_Asset - TCO) / TCO

CONDITIONAL FORMATTING

  • Status column: Red for "Decommissioned", Yellow for "Under Maintenance", Green for "Active".
  • Maintenance Flag: Bold red text if Yes.
  • Cost Per Hour: Highlight in orange if above average cost threshold (set via input cell).
  • Utilization Rate: Use data bars from 0% to 100% to visually compare asset performance.

USER INSTRUCTIONS

  1. Populate Asset Master List: Enter all assets with purchase details and initial values.
  2. Daily Log Updates: Update Tracking Log daily with usage, fuel, labor, location, and status.
  3. Maintenance Entries: Record repairs in the Maintenance & Repair History sheet; link to Asset ID.
  4. Budget Input: Enter projected costs in Budget Forecast & Actuals (use drop-downs for categories).
  5. Dashboard Review: Use Financial Performance Dashboard to monitor KPIs weekly.
  6. Adjust Thresholds: Modify depreciation settings or cost benchmarks in the “Settings” tab if needed.

EXAMPLE ROWS

Asset IDTypeDate AcquiredInitial Cost ($)Daily Depreciation ($)
TRK-018Truck2023-06-15$95,000.00$27.47
Date (Log)Asset IDMileage Used (km)Fuel Consumed (Ltrs)Status Update
2024-04-05TRK-018475198.3Operational

CUSTOM CHARTS & DASHBOARDS (Recommended)

  • Pie Chart: Distribution of total TCO by cost category (fuel, maintenance, labor).
  • Line Chart: Trend of daily fuel consumption and mileage per asset over time.
  • Bar Graph: Comparison of Cost Per Hour across all active assets.
  • Gauge Chart: Real-time utilization rate vs. target (e.g., 85% target).
  • Heat Map: Location-based asset status matrix showing which depots have idle or under-maintained assets.

This Excel template seamlessly blends Logistics Planning, enabling real-time operational visibility, with robust Asset Tracking, and delivers a strategic Financial View critical for managing capital-intensive logistics operations efficiently. With customizable formulas, visual dashboards, and structured data entry, it is a powerful decision-support tool designed to reduce overheads, improve asset uptime, and maximize financial returns.

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