QualifyWithin 30 Days

Automated Cost Optimization Redesign

ID: 2119896-30

Potential Value

$500,000

Deal Value

$0

Stated Probability

25%

Days in Pipeline

215

Client & Account

Client

Apex Consulting

City

New York

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Consulting

Field of Play

Organization & People

Opportunity Sub-SL

Organization & People

Competency

Organization & Workforce Transformation

Global Service Code

Environmental Compliance - Compliance (54455)

People & Dates

Partner

Ward Wei

Pursuit Leader

Cruz Raj

Open Date

Oct 10, 2025

Anticipated Win Date

Apr 30, 2026

Close Date

N/A

Details

Description

Automated Cost Optimization Redesign

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

42.9%

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

$70,350

Key Triage Drivers

Work type
+0.607
Deal size
-0.372
Service sub-line track record
-0.331

Win Probability Models

P(Pursue)

42.9%

Model A: Planning

32.8%

Model B: Early Signal

9.2%

Stated Probability

25%

Model A: Planning

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

Win Probability

32.8%

Key Drivers

Service sub-line track record
-1.393
Brand new pursuit (vs renewal)
-1.052
Lead sales credit %
-0.775

Plain English

The model a: planning estimates a low probability of winning (33%). Factors working against: service sub-line track record, brand new pursuit (vs renewal), lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

9.2%

Key Drivers

Service sub-line track record
-1.059
Deal size
-0.651
Brand new pursuit (vs renewal)
-0.637

Plain English

The model b: early signal estimates a low probability of winning (9%). Factors working against: service sub-line track record, deal size, brand new pursuit (vs renewal).