AI-Enabled Should-Cost Modeling AI-Enabled Should-Cost Modeling

Agentic Should Cost

Under 5 

Minutes per model

100,000+

Indices refreshed weekly

5,000+

Models delivered

95%

Accuracy

Scalable

SME-reviewed, not SME-dependent

Procurement Expertise Plus Agentic AI

Built on specialized cost data, category knowledge and more than 25 years of procurement expertise, GEP Agentic Should Cost delivers defensible cost intelligence that general-purpose AI tools cannot replicate.

Domain-Trained, Not Generic

Twenty-five years of category and manufacturing know-how is codified into the agents. The result is virtual, on-demand cost-modeling expertise that teams can apply when and where they need it.

A Living Cost Position

Models remain linked to market indices that refresh weekly, so the cost position stays current as materials, labor and energy move. Traditional static models require manual updates as conditions change.

Agentic AI Built for Cost Decisions

Powered by GEP Quantum Intelligence, Agentic Should Cost combines AI agents with GEP’s procurement and cost-modeling expertise. It turns structured and unstructured inputs into a transparent cost model, with every input visible and editable.

Traditional Should Cost vs. GEP

Traditional Should CostGEP Agentic Should Cost
Models are typically built one SKU, region and machine at a time.A model for a commodity type can scale across regional and material variations.
Each category depends on specialist availability.Codified category and manufacturing knowledge provides an expert starting point.
Model development and data capture can take weeks.A new model can be built in under five minutes, with scenario analysis on the spot.
Models require manual updates as market conditions change.Models remain linked to market indices refreshed weekly.
Outputs often require specialist interpretation.Inputs are visible and editable, supporting buyer-led decisions and negotiations.

How It Works

Step 1

Initiate the Model

Upload a drawing, specification, BOM or rate card, or enter a prompt. The agent structures the information and presents it for confirmation.

Step 2

Build the Model

Review a granular breakdown of materials, labor, machinery, overhead and other cost drivers. Every input is visible and editable.

Step 3

Run Scenario Analysis

Compare locations, volumes and other cost scenarios on the spot. Scale one model across related parts and the wider category spend base.

Step 4

Apply and Refresh

Use the model in sourcing, negotiation or planning decisions. Live indices keep the cost position current as market conditions change.

Make Better Cost Decisions Across the Product Lifecycle

New Product Development/R&D

Catch cost before it is locked in. At the concept and NPI stage, run a rapid feature-based model from an early drawing or spec, compare your design against competitor teardowns, and see which features are worth what they cost while the design can still change.

Find the negotiation levers, not just the number. Build a bottom-up model for any item in the current spend base, with detail across materials, processes and overhead, so teams can identify the specific cost drivers to challenge. Any buyer can build a defensible cost position before sitting down with a supplier.

Take out the structural cost, not just the piece price. Model full landed cost across manufacturing locations, test footprint and volume scenarios, and quantify what it costs to consolidate or move production before capital is committed.

Turn Should-Cost Intelligence Into a Repeatable Business Capability

GEP helps organizations apply should-cost intelligence beyond one-off negotiations, embedding it across product development, sourcing and supply chain decisions.

  • Prioritize the right opportunities: Focus on the categories, products and decisions with the greatest value potential. 
  • Embed it into the workflow: Apply cost intelligence in design reviews, sourcing events, supplier negotiations and network decisions. 
  • Scale the capability: Establish repeatable processes, governance and expertise across teams and categories.

Meet the Should-Cost Experts

Gauranga De

Gauranga De

Vice President, Consulting

Sriram Natarajan

Sriram Natarajan

Senior Director, Consulting

AJ Rohan

AJ Rohan

Senior Director, Business Development and Solution Design

See How Agentic Should Cost Works

Request a demo and a GEP should-cost expert will walk you through the approach in a category you care about. If it looks like a fit, we can follow with a tailored session focused on your spend.