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01Forged parts, moving prices 02One part, several brands 03Hidden talent, revealed pool 04At-risk parts, anticipated failures 05Securing the supply chain
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Procurement · Bill of materials

Consolidation out of reach: how a fragmented BoM strips away your negotiating leverage

October 14, 2026 Graphicient 9 min read
One part, two part numbers, two prices: €12.00 at brand A, €14.50 at brand B

A procurement department knows how much it spends with each supplier. What it knows far less well is what it buys twice, under two different part numbers, in two plants, at two different prices.

This gap between the spend you see and the volumes you could actually pool explains why so many spend consolidation plans stall halfway in manufacturing.

The problem lies in the bill of materials.

01

What is spend consolidation?

Consolidation means pooling purchase volumes on a smaller number of suppliers to obtain better commercial terms. Nicolas Ruban describes it in Économie Matin (June 2025): concentrate volumes, rationalize the supplier panel, then negotiate with the company's real weight rather than that of each site or project.

Every procurement department knows the expected gains:

PRICEConsolidated volumeA lower unit price and better terms: lead times, penalties, safety stock carried by the supplier.
PANELA tighter panelFewer contracts to manage, fewer quality audits, fewer supplier qualifications to maintain.
RELATIONSHIPA committed supplierCarrying real weight in its revenue encourages it to invest: co-development, capacity commitments.

In manufacturing, procurement has to consolidate for a simple reason: it is the only way to bring the company's size to bear against suppliers who, for their part, see very clearly the total of what they sell you. A buyer negotiating site by site shows up as a small customer, even within a large group.

To pool volumes, you first have to know they can be pooled.

In services, this knowledge is accessible. In manufacturing, it is buried in the BoM.

02

Why consolidation runs into industrial reality

In manufacturing, spend takes the form of a bill of materials, the BoM, which describes each product as a tree of sub-assemblies, parts and materials. The same sensor can appear in fifteen products, under different codes, bought by three entities. Three obstacles make consolidating it difficult.

2.1The supply chain imposes its own constraints

Consolidating on a single supplier increases dependency. Supply chain teams, meanwhile, have spent recent years doing the opposite: opening a second source, regionalizing, securing, to meet their main objective: delivering the product on time, without risk.

74% of CPOs cite maintaining active alternative sources as a risk-reduction strategy, according to Deloitte's 2025 Chief Procurement Officer Survey.

The two goals can be reconciled, provided trade-offs are made with a part-by-part view: which part numbers are single-source, which are critical, which can be pooled without creating a point of failure. Without that view, the trade-off is made blind, or not at all.

2.2Material sourcing complicates equivalence

Two parts that perform the same function are not always interchangeable. The alloy, the country of melt, the forger's certification and the applicable customs regime all change the real price and the risk. US Section 232 tariffs on aluminum and steel, whose rates and scope have changed several times since 2025, are a concrete example: a forged steel part and an equivalent titanium part have neither the same tariff exposure nor the same origin exposure.

To consolidate a part family, the buyer must therefore compare part numbers whose functional equivalence is known to engineering, while purchase terms are known to procurement, and material constraints to quality.

ENGINEERINGFunctional equivalence
PROCUREMENTPurchase terms
QUALITYMaterial constraints

Three departments, three systems. In real life, none of them talk to each other.

2.3Supplier consolidation hits a data wall

This is the most common sticking point. The PLM thinks in platforms and functions. The ERP thinks in part numbers and orders. The contract system thinks in suppliers and terms. No automatic bridge connects the three.

The same part bought under two codes, by two brands of the same group, from two suppliers, stays invisible until someone does the extraction, the join and the cleanup by hand. Deloitte measures the cost of this siloing: 57% of CPOs cite siloed ways of working as the top internal barrier to value creation.

The result is consolidation that goes no further than what an analyst could piece together in a few weeks in a spreadsheet. The analysis is obsolete the day it is published, because the BoM has changed in the meantime. And the next question ("what about plastic parts?") starts from scratch.

Spend consolidation: overcoming the fragmented BoM. 57% of CPOs cite siloed ways of working; +20% price gap on the same part; 74% of CPOs maintain active alternative sources; unify the BoM in a knowledge graph.
03

How Graphicient makes the BoM readable for procurement

Graphicient has built a knowledge graph platform for manufacturing that addresses exactly this problem. The principle: connect scattered data (PLM, ERP, contracts, quality, suppliers) into a single graph, then traverse it the way you traverse a BoM.

BrandModelPlatformPartContractSupplier

3.1Agnostic to the data source

The graph replaces none of the systems in place. It is built on top of them, through import (ETL, CSV, connection to existing data lakes) and an ontology defined without code: the company's business concepts and the relationships between them. A part "contains" components, is "bought via" a contract, "negotiated with" a supplier.

A functional equivalence relationship links two parts with different codes that perform the same function. It is the relationship every ERP lacks, and the one that makes consolidation possible.

The model belongs to the customer: it can be exported, versioned and enriched without breaking what exists. For procurement, this means the question "which parts in my scope are equivalent and bought at different prices?" becomes a graph traversal, no longer a six-week data project.

3.2Trace back to the source and follow the AI's reasoning

This is what sets the approach apart from a simple chat assistant plugged into documents. Every answer shows the path followed through the graph: the concepts traversed, the relationships used, the objects retained. A banner reads "traced answer" along with the number of paths. Users can zoom in on the affected objects, check every link, challenge the result and document it in a decision.

“The answer isn't generated from memory: it's read from your data.”

“What the graph doesn't contain, the assistant doesn't invent: it says so.”

Graphicient · Query page →

For a buyer about to put a figure in front of a supplier or an executive committee, this traceability changes everything. An equivalence price pulled from a spreadsheet is open to debate. An equivalence price whose path can be traced back to the contract line holds up.

3.3Save time by asking a question in natural language

The use case Graphicient publishes on cross-brand commonality shows the order of magnitude, for a multi-brand automotive group. A single question asked in natural language reveals:

+20%a sensor bought at €12.00 by one brand and €14.50 by another
€162kin potential savings on a €21.20 door handle, 60,000 units a year
240,000cumulative units on a contract already shared by two brands

That last point shows that consolidation sometimes already exists, without being replicated elsewhere.

The same exercise without a graph takes several weeks, a data analyst, extractions from three systems and prior agreement between departments on what an "equivalent part" is. With the graph, the question is asked, the answer is quantified, and the next question builds on the previous one. A recurring question is saved as a query the whole team can reuse, its result updating with every new piece of data. The figures come from the graph, no longer from a spreadsheet.

The second published case, on an aircraft manufacturer's exposure to forged parts, shows the same mechanism applied to risk:

530parts analyzed
5 QUESTIONS
15priority parts

The scope narrows by crossing customs regime, single-sourcing, material traceability and the forger's financial health. For procurement, this is exactly the consolidation-versus-security trade-off described above, made workable.

04

What it changes for procurement

Spend consolidation in manufacturing depends first on how readable the BoM is. A bill of materials split across PLM, ERP and contracts hides poolable volumes, functional equivalents and contracts already shared. The negotiating leverage exists. It is simply invisible.

A knowledge graph that traverses the BoM, stays independent of source systems and exposes the reasoning behind every answer makes this leverage visible, quantified and defensible. Graphicient offers to model a sample of your product and procurement data to answer your own questions on your own scope.

How many parts does your group buy today under two part numbers at two prices? Ask Graphicient.

Sources
  1. 01Nicolas Ruban, “Stratégie de massification des achats : bonne ou mauvaise idée ?”, Économie Matin, June 21, 2025 (in French) — economiematin.fr
  2. 02Deloitte, 2025 Global Chief Procurement Officer Survey, press release, August 19, 2025 — deloitte.com
  3. 03Graphicient, “Query” — graphicient.io/interroger-en
  4. 04Graphicient, use case “One part, several brands” — graphicient.io/cas-02-une-piece-plusieurs-marques-en
  5. 05Graphicient, use case “Forged parts, moving prices” — graphicient.io/cas-01-pieces-forgees-tarifs-mouvants-en

Your negotiating leverage, finally visible

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