The problem
The losses live in the seams , where no single report can see them.

Each system is correct on its own. Between them, value leaks quarter after quarter. The scale, from published research:

~65%
of advanced planning programs miss their expected return; poor data management is a top-five reason
McKinsey, April 2026 (n = 80)
80%
of organizations report data is not accessible across teams to support AI use cases
Microsoft Agent Readiness Survey, September 2025 (n = 500)
10%
of inventory value a year to carry it, the median in APQC's benchmark (n = 6,468)
APQC Open Standards Benchmarking
↑↑↑
demand variance amplifies upstream , the bullwhip effect
Lee et al. / MIT Sloan

The evidence exists. It is split across systems , so nobody owns the number.

The solution
On top of your systems. Never in the way.

AssetShop reads what your systems already hold , no migration, nothing written back without approval , normalizes it to one canonical view, and surfaces leakage and variance by category.

01Read first, act on approval. Nothing is written back without a named approval; systems of record stay authoritative.
02Lineage on every figure. Trace any number to the source record and verify it.
03No rip-and-replace. The intelligence layer, on top , not middleware.
ERP · WMS · TMS · MES procurement · planning AssetShop , intelligence layer reads up
reads upward · writes down only on approval
The benefit
Industry scale → your number.

The figures above size the problem. AssetShop quantifies your share of it , on your data, with the source record behind every number.

01 / cash

In this part

Free up trapped cash

Excess and mismatched inventory freezes working capital and costs 10% of its value a year (APQC's median). AssetShop surfaces both.

Cash freed: [ from your assessment ]
02 / spend

Recover off-contract spend

Every purchase with no contract behind it , plus likely duplicates , flagged with source records attached.

Recoverable: [ from your assessment ]
03 / planning

Damp the bullwhip

Forecast bias and plan-vs-actual variance surfaced across systems, so you fix the signal before it whips upstream.

Variance exposed: [ from your assessment ]
04 / logistics

Cut premium freight

Expedited and premium-mode shipments flagged against your baseline, shipment by shipment.

Identified: [ from your assessment ]
05 / people

Give your team back time

The hours analysts burn reconciling systems by hand , done continuously, so your team works findings instead of assembling them.

No headcount cuts , time returned to your people.
06 / analytics

Ground your AI & analytics

One clean, lineage-backed canonical layer, so the tools you already run answer from real records.

Governed, not an AI product , trustworthy ground truth.

The proof is your own data. Every figure is observed and traceable , never a modeled guess , quantified in a fixed-fee, ~two-week, read-only assessment, with the fee credited to a pilot if you proceed.

See the number your systems can't.

A fixed-fee, two-week, read-only Leakage & Variance Assessment on an extract of one or two of your systems. We quantify what's recoverable , with the receipts.

Request an assessment