Clean Data, Lean Logistics

• Data sanity, defined: Accurate, consistent data across the order journey, from customer and order details to vehicles, vendors, and costs, so decisions, promises, and ETAs are grounded in truth.

• Execution-time capture: Replace spreadsheet estimates with in-moment capture of service, waiting, and billing times via driver or client apps; verify locations as they’re used.

• Location accuracy: Correct and lock customer locations; quantify drift and prevent wrong-door waste with advanced geocoding and continuous learning.

• Plan-vs-actual learning: Track and store mismatch as drift; feed insights back into the next plan so tomorrow’s routes inherit a better truth.

• Governance that scales: Surface exceptions in real time with control-tower alerts (email/WhatsApp/Slack), and roll up into living dashboards for weekly and quarterly reviews.

• Proven Results:

  • 12.5% higher driver productivity from accurate service-time capture.
  • 25% higher on-time delivery with precise customer windows.
  • 72% reduction in average geocode drift (2.25 km → 0.62 km), driving ~15% lower fuel spend and 10% fewer non-compliance fines.
  • 20% shorter delivery times fleet-wide and 25% higher utilisation; typical payback in 6-12 months (median: 9).

Transform Your Logistics with Locus

Locus implements a five-layer data framework: Identify, Capture, Learn, Standardise, Govern, so ERP, TMS, and analytics work as a single nervous system instead of loosely coupled limbs. Execution-time capture grounds masters in reality; uniform schemas keep data flowing without custom patching; and control towers convert exceptions into action. Most enterprises see measurable gains quickly, with implementation typically recovering costs within six to twelve months.

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