IdentifyOver 90 Days

Dynamic Procurement Optimization

ID: 4027599-10

Potential Value

$77,868

Deal Value

$0

Stated Probability

10%

Days in Pipeline

1821

Client & Account

Client

Apex Telecommunications Industries

City

San Francisco

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

Tax

Field of Play

Tax

Opportunity Sub-SL

BTS

Competency

BTS - BTA

Global Service Code

Internal Controls (50733)

People & Dates

Partner

Young Akira

Pursuit Leader

Long Pablo

Open Date

May 18, 2021

Anticipated Win Date

Dec 31, 2026

Close Date

N/A

Details

Description

Dynamic Procurement Optimization

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

88.0%

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

$60,034

Key Triage Drivers

Work type
+0.704
Service sub-line track record
+0.446
Opportunity business unit
+0.414

Win Probability Models

P(Pursue)

88.0%

Model A: Planning

87.6%

Model B: Early Signal

79.7%

Stated Probability

10%

Model A: Planning

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

Win Probability

87.6%

Key Drivers

Time in current pipeline stage
-0.977
Brand new pursuit (vs renewal)
+0.948
Deal age (days since open)
-0.799

Plain English

The model a: planning estimates a high probability of winning (88%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: time in current pipeline stage, deal age (days since open).

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

79.7%

Key Drivers

Brand new pursuit (vs renewal)
+0.748
Market segment
-0.550
Account business unit
-0.474

Plain English

The model b: early signal estimates a high probability of winning (80%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: market segment, account business unit.