QualifyWithin 30 Days

End-to-End Cost Optimization Automation

ID: 5748089-40

Potential Value

$1,000,000

Deal Value

$0

Stated Probability

50%

Days in Pipeline

622

Client & Account

Client

Crimson Corporation

City

Dallas

Region

USLI

Sub-Sector

FED

Service Classification

Service Line

Consulting

Field of Play

Risk

Opportunity Sub-SL

Risk´

Competency

Internal Audit Transformation

Global Service Code

Environmental Compliance - Operations (63233)

People & Dates

Partner

Schäfer Amit

Pursuit Leader

Davis Marcel

Open Date

Aug 29, 2024

Anticipated Win Date

Apr 15, 2026

Close Date

N/A

Details

Description

End-to-End Cost Optimization Automation

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

20.5%

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

$183,175

Key Triage Drivers

Work type
+0.536
Service sub-line track record
-0.501
Non-recurring work
-0.249

Win Probability Models

P(Pursue)

20.5%

Model A: Planning

89.3%

Model B: Early Signal

55.8%

Stated Probability

50%

Model A: Planning

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

Win Probability

89.3%

Key Drivers

Brand new pursuit (vs renewal)
+1.356
Time in current pipeline stage
-1.136
Lead sales credit %
-0.705

Plain English

The model a: planning estimates a high probability of winning (89%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: time in current pipeline stage, lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

55.8%

Key Drivers

Brand new pursuit (vs renewal)
+1.098
Deal size vs service line median
-0.423
Market segment
-0.418

Plain English

The model b: early signal estimates a moderate probability of winning (56%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: deal size vs service line median, market segment.