Quotation Intelligence and Margin Control

Client context

The client operated in fashion production, where quotation quality directly affected procurement approval, commercial confidence, and margin control.

Original workflow

Project leads were managing pricing through personal spreadsheets, inconsistent formats, and loosely shared assumptions. Cost visibility was fragmented, and pricing decisions often relied on memory and experience rather than a structured reference system.

Friction and constraints

• Inconsistent quotation structures across projects.
• Weak visibility into real internal cost and margin.
• Difficult comparison across past projects.
• Procurement friction caused by format inconsistency.
• Limited ability to turn pricing knowledge into a reusable operating system.

Strategic objective

Build a quotation process that was more standardized, more explainable, and more commercially controlled, without slowing down the pace of project response.

What we designed

• Standardized quotation logic and templates.
• Structured historical project reference data.
• AI-supported pricing guidance linked to comparable jobs.
• Rule-based checks for scope, level, and pricing mismatch.
• Margin guardrails and exception alerts.

Implementation

We combined workflow standardization, data structuring, and decision support so that quotation moved from isolated spreadsheet craftsmanship to a shared commercial system the team could operate with more consistency.

Outcome

• Clearer quotation standards.
• Lower friction in procurement-facing output.
• Better visibility into project margin.
• More disciplined pricing decisions over time.