Choosing the Right Asset Tracking System: A Buyer’s Checklist

How to Implement an Asset Tracking System in 6 StepsImplementing an asset tracking system helps organizations reduce loss, improve utilization, simplify maintenance, and make smarter purchasing decisions. Below is a practical, step-by-step guide to plan, select, deploy, and optimize an asset tracking system so it delivers measurable business value.


Step 1 — Define goals, scope, and success metrics

Before selecting technology, decide what you need the system to achieve.

  • Identify primary objectives: reduce theft, speed physical audits, improve preventive maintenance, comply with regulations, or optimize utilization.
  • Determine asset scope: fixed assets (machinery, vehicles), IT equipment (laptops, servers), consumables, high-value tools, or all of the above.
  • Choose locations and teams to include in the initial rollout (one facility vs. company-wide).
  • Set measurable KPIs: reduction in annual loss (%), time to audit (hours), asset utilization rate, mean time between failures (MTBF), maintenance overdue incidents.
  • Define budget and timeline constraints.

Success looks different for each organization. Example target: reduce asset loss by 30% and cut audit time from 48 to 8 hours within 12 months.


Step 2 — Map asset lifecycle and business processes

Understand how assets move and are used across the organization.

  • Create an asset lifecycle map: procurement → deployment → maintenance → transfer → disposal.
  • Document roles and responsibilities: asset owners, custodians, procurement, finance, IT, and maintenance teams.
  • Note handoffs and authorization points where data should be captured (receiving, check-in/check-out, repairs).
  • Identify integration points with existing systems: ERP, CMMS, finance, procurement, helpdesk, identity/access systems.
  • Define data fields to track for each asset type: serial number, model, location, status, purchase date, warranty, custodian, maintenance history, depreciation code.

Concrete output: a process diagram and a canonical asset data schema that will guide system configuration.


Step 3 — Choose the right technology and identifiers

Pick tracking methods and software that match your assets, environment, and budget.

  • Identifiers and tagging options:
    • Barcodes (1D/2D): low cost, human-readable, good for line-of-sight scans (inventory, storage).
    • RFID (passive/active): hands-free, fast scanning, suitable for moving inventory, vehicles, or crowded warehouses.
    • BLE/LoRa/GPS trackers: for real-time location of vehicles, trailers, or high-value mobile assets.
    • QR codes: low-cost, smartphone-friendly for field teams and check-in/out.
    • NFC: close-proximity, useful for secure interactions and smartphones.
  • Software options:
    • Turnkey asset management SaaS with mobile apps — fast to deploy, minimal maintenance.
    • On-premise systems — needed if data residency or offline operation is critical.
    • CMMS or ERP modules — integrate asset tracking with maintenance and finance workflows.
    • Custom solutions — for unique workflows or specialized hardware integration.
  • Consider key features: mobile scanning apps, offline mode, GIS mapping, real-time alerts, maintenance scheduling, audit trails, role-based access, reporting, API integrations.
  • Evaluate security and compliance: encryption, authentication, role-based permissions, audit logs, and regulatory controls (e.g., SOX, HIPAA if applicable).

Quick rule: choose barcodes for low-cost inventory/office assets; RFID or BLE/GPS for high-value or mobile assets requiring real-time or bulk scanning.


Step 4 — Plan pilot deployment and tagging strategy

Start small with a pilot to validate assumptions and refine processes.

  • Pilot scope: pick one site, one asset class, and a small cross-functional team.
  • Tagging plan:
    • Tag every asset consistently using the chosen identifier.
    • Include human-readable label plus machine-readable code.
    • Protect tags against wear (laminate, rugged tags for outdoors).
  • Data migration:
    • Clean and deduplicate existing records before import.
    • Map old fields to the canonical schema.
  • Mobile/scan workflow:
    • Define simple, repeatable steps for scanning on

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