What is direct material and merchandise optimization?

It focuses on the cost of goods that define competitiveness for manufacturers, product companies, and retailers — combining should-cost science, negotiation leverage, and supplier innovation.

How does should-cost modeling help negotiations?

Should-cost and tear-down analysis expose true cost drivers and supplier margin structures, so teams negotiate from evidence rather than assumption — with AI accelerating the analytical lift.

Do you work on both engineered components and retail merchandise?

Yes. Engagements span complex manufactured goods and high-volume merchandise categories, with senior practitioners reviewing AI input and driving supplier execution.

Service offering

Direct Material & Merchandise Optimization

For manufacturers, product-driven businesses, and retailers, direct material and merchandise costs define competitiveness. Our Direct Material & Merchandise Optimization practice brings together senior practitioners who have negotiated and optimized direct spend at the world's largest industrial, consumer, technology, and retail companies - combining that hard-won expertise with ProcureSense as an AI accelerator that automates cost analysis so experts can review every input and spend more time on negotiation buy-in and supplier execution.

Key messages

Direct cost performance defines market competitiveness.
Should-cost science strengthens negotiation leverage.
Supplier innovation and working capital move together.

Perspective

Negotiate from insight — not assumption.

Our strategic negotiations capability is accelerated by AI-driven should-cost models and market intelligence — developed by practitioners who have sat both in industry and advisory roles at Fortune 500 companies, major retailers, and top-tier advisory firms. ProcureSense automates the analytical lift; senior experts review every recommendation and focus on securing negotiation buy-in from a position of genuine insight rather than assumption.

Perspective

Expose true cost drivers with surgical precision.

Cost modeling and tear-down takes this further - physically and digitally deconstructing components, assemblies, and merchandise cost structures using methodologies pioneered at global blue-chip firms, exposing true cost drivers, design-to-cost opportunities and supplier margin structures with surgical precision.

Perspective

Move beyond transactions. Co-create with suppliers.

We then activate supplier innovation programs grounded in best practices drawn from the world's most sophisticated supply chains and merchandising organizations - moving beyond transactional relationships to co-create value through joint product development and other supplier enabled innovations. This is a discipline our team has practiced at the highest levels of global enterprise, across both complex manufactured goods and high-volume merchandise categories.

Perspective

Align direct spend with cash-flow goals.

Our working capital optimization capability ensures that direct and merchandise procurement actively contributes to cash flow goals - aligning payment terms, inventory strategies and supply chain financing with the financial rigor our team developed advising Fortune 100 boardrooms and finance functions.

The bottom line

The bottom line: Whether you're optimizing engineered components or high-volume merchandise categories, our clients get the negotiating intelligence, cost science, and supplier relationship expertise of the world's best procurement practitioners - delivered faster because ProcureSense automates the analysis, while senior experts stay in the loop to review AI input and drive buy-in.

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Frequently asked questions

What is direct material and merchandise optimization?: It focuses on the cost of goods that define competitiveness for manufacturers, product companies, and retailers — combining should-cost science, negotiation leverage, and supplier innovation.
How does should-cost modeling help negotiations?: Should-cost and tear-down analysis expose true cost drivers and supplier margin structures, so teams negotiate from evidence rather than assumption — with AI accelerating the analytical lift.
Do you work on both engineered components and retail merchandise?: Yes. Engagements span complex manufactured goods and high-volume merchandise categories, with senior practitioners reviewing AI input and driving supplier execution.