Case Study · 03 / 10

Market & Pricing Intelligence

Delivered per-market pricing policies, improved bid success rate, and gave sales and marketing a shared real-time view.

Prescriptive AIManufacturing & Energy

Multi-region

Markets

Up

Bid success

Real-time

Alignment

Challenge

Global pricing strategies failed to adapt to local regulatory and competitive conditions, sales and marketing operated on separate CRMs, and margin was eroding on multi-region tenders.

Solution

Trained regional demand forecasts (XGBoost + Prophet), wrapped an OR-Tools MILP optimizer for price/discount recommendations under margin and regulatory constraints, and exposed outputs directly inside Salesforce via a custom Lightning component.

Impact

Delivered per-market pricing policies, improved bid success rate, and gave sales and marketing a shared real-time view.

Tech stack

XGBoostProphetOR-ToolsSalesforceAirflowPython

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