Your Repair Network Costs Vary Wildly and Your Data Won't Say Why

A large share of an insurer's claims spend never goes to the customer as cash. It goes to a supply chain: repairers, contractors, medical providers, hire companies, loss adjusters, restoration firms. The same type of claim, handled by two different suppliers, can differ substantially in cost, cycle time, and how satisfied the customer is at the end. Most insurers know this in the abstract. Far fewer can say which suppliers are genuinely better once you account for the fact that they don't all get the same work.

Why supplier performance is hard to see

Comparing suppliers naively is misleading, because the work isn't randomly distributed. One repairer gets the complex jobs, another gets the straightforward ones; a contractor in a high-cost region will look expensive regardless of how well it performs. A fair comparison needs claim characteristics, supplier assignment, cost, cycle time and outcome joined together — and that data usually lives across claims, procurement and finance systems that were never designed to be analysed as one. So supplier management runs on relationships, invoices, and anecdote.

Where it breaks down

  • No like-for-like comparison. Costs aren't adjusted for claim complexity or region, so the rankings reflect the work mix, not performance.
  • Outcomes aren't captured. Rework, complaints, and customer satisfaction rarely make it back into supplier data.
  • Invoices without detail. You know what was billed, not consistently what was done, so line-level patterns are invisible.
  • Allocation isn't data-driven. Work is routed by habit and availability rather than by measured performance.

Why it's a data-foundation problem

Getting value from a claims supply chain means being able to answer a simple question honestly: adjusting for what they were actually given, which suppliers deliver better outcomes at lower cost? That requires joining claim characteristics, assignment, detailed cost, cycle time and outcome into one analysable view — and then feeding the answer back into how work is allocated. It's the same join-and-feedback foundation behind premium leakage and total-loss valuation, applied to the largest controllable component of claims spend.

What good looks like

  1. Complexity-adjusted comparison so suppliers are judged on like-for-like work.
  2. Outcomes captured — rework, complaints and satisfaction linked back to the supplier.
  3. Line-level cost detail rather than opaque invoice totals.
  4. Data-driven allocation that routes work to measured performance and keeps learning.

The claims supply chain is one of the biggest levers an insurer has over its own costs and its customers' experience, and it's typically managed with less data than the underwriting book. Building the view that makes supplier performance measurable is exactly the kind of work we do with insurers at IntelliBooks.

You can't negotiate well, or allocate well, on suppliers you can only compare by anecdote.

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