How Much MRO Inventory Is Actually Excess?

Original research · Maintained analysis

How Much MRO Inventory Is Actually Excess?

The short answer

Industry benchmarks put excess and obsolete MRO inventory at 15–25% of stock, and it costs the typical distributor about 25% of its value per year to hold. The deeper problem is visibility: in an anonymized analysis of ~11,000 surplus line items, roughly four in five had no price comparable at all, and only a fraction of truly idle stock had been formally flagged. You cannot reduce what you cannot see.

Maintained analysis · Updated July 2026 · Figures are de-identified aggregates.

15–25%
of MRO inventory is typically excess or obsolete (industry benchmark)
~25% / yr
cost to hold excess inventory, all-in
~79%
of surplus items had no invoice or market comparable to value them
~90%
of items carried only a low-confidence, modeled value
~3%
of items were flagged for data-quality issues blocking automation
20–30%
inventory reduction AI can achieve while holding service levels

The benchmark: 15–25% excess, costing ~25% a year

Across industrial and MRO operations, 15–25% of inventory is commonly excess or obsolete — the product of service-level buffers, one-time project buys, and reorder points set once and never revisited.

It isn't cheap to ignore. Holding excess costs roughly 20–30% of its value per year, and the all-in cost of obsolete stock is often put near 25% annually once storage, shrinkage, and cost of capital are counted.

Why it's so hard to see

The reason excess persists isn't apathy — it's blindness. In the anonymized pool, about four in five surplus items had no invoice or market comparable, and around 90% carried only a low-confidence, modeled value. When the system can't say what an item is worth or whether it still moves, no one can confidently decide to clear it.

How surplus items could be valued

BasisShare of itemsWhat it means
Invoice-comparable (high confidence)~9%A recent transaction anchors the value
Market-comparable~11%External market pricing found for make/model
Modeled (low confidence)~79%No comparable; value predicted from features

Shares are de-identified aggregates.

Flagged vs. actually idle

Formal 'mark for depletion' flags covered only a tiny share of the pool, while the low-confidence, slow-moving tail was far larger. The gap between what's officially flagged and what's actually idle is where excess quietly compounds.

The opportunity

AI-driven optimization can cut inventory 20–30% while holding service levels — but only once the excess is visible and valued. Detection is the unlock; valuation and disposition are the payoff.

Key takeaways

  • Assume 15–25% of MRO stock is excess or obsolete until proven otherwise.
  • The barrier is visibility: most surplus has no price and no movement signal attached.
  • Formal depletion flags understate the real idle tail — look past them.
  • Value and classify first; the 20–30% reduction follows detection.

Methodology

Figures are de-identified aggregates from a Maintained analysis of a multi-site industrial and MRO surplus pool — roughly 11,000 line items across six facilities. Each item was valued on a three-tier basis: invoice-comparable, market-comparable, and modeled. Results are reported as ranges and shares to protect the source; no client, facility, or item-level data is disclosed. Category discounts reflect standard fair-market-value practice for surplus industrial equipment.

Frequently asked questions

What percentage of MRO inventory is excess or obsolete?

Industry benchmarks put excess and obsolete MRO inventory at 15–25% of stock, driven by service-level buffers, one-time buys, and stale reorder points.

Why is excess MRO inventory so hard to reduce?

Because it's hard to see. In an anonymized analysis of ~11,000 surplus items, about four in five had no price comparable and ~90% carried only a low-confidence modeled value — so no one could confidently decide what to clear.

How much can AI reduce excess inventory?

AI-driven optimization can cut inventory 20–30% while holding service levels, once the excess is made visible and valued and the routine disposition decisions are automated with human approval.

Want this analysis on your own inventory?

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