PursuePast Due

Intelligent Cost Optimization Framework - Pilot

ID: 5527851-20

Potential Value

$0

Deal Value

$0

Stated Probability

70%

Days in Pipeline

197

Client & Account

Client

Cardinal Insurance Logistics

City

San Francisco

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Consulting

Field of Play

Organization & People

Opportunity Sub-SL

Organization & People

Competency

People Experience

Global Service Code

Market Analysis (82042)

People & Dates

Partner

Bailey Feng

Pursuit Leader

Johansen Magnus

Open Date

Oct 28, 2025

Anticipated Win Date

Mar 16, 2026

Close Date

N/A

Details

Description

Intelligent Cost Optimization Framework - Pilot

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

47.3%

Expected Value (EV = P(Pursue) × P(Win) × Value)

$0

Key Triage Drivers

Work type
+0.671
Deal size
+0.339
Opportunity business unit
+0.282

Win Probability Models

P(Pursue)

47.3%

Model A: Planning

79.3%

Model B: Early Signal

30.3%

Stated Probability

70%

Model A: Planning

Includes deal age and timeline factors. Best for active pipeline management.

Win Probability

79.3%

Key Drivers

Brand new pursuit (vs renewal)
+1.276
Service sub-line track record
-1.250
Deal age (days since open)
-0.863

Plain English

The model a: planning estimates a high probability of winning (79%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: service sub-line track record, deal age (days since open).

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

30.3%

Key Drivers

Service sub-line track record
-1.154
Brand new pursuit (vs renewal)
+0.627
Market segment
-0.374

Plain English

The model b: early signal estimates a low probability of winning (30%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: service sub-line track record, market segment.