Machine Learning in Services Procurement:

It's a Game Changer

Brightfield

Jason EzrattyPresident

Allegis Global Solutions

Bruce MortonHead of Strategy

MACHINE LEARNING

IN SERVICES

PROCUREMENT

IT’S A GAME CHANGER

Bruce MortonHEAD OF STRATEGY

Jason EzrattyPRESIDENT

Founded in 2006, Brightfield is a

workforce analytics and consulting

company that helps the Global

2000 design their workforce

precisely right. We couple deep

expertise gained from 11 years of

consulting with the world's most

advanced, AI-driven analytics

platform - a one-two punch that

uniquely delivers actionable

recommendations and proven

outcomes.

MACHINE LEARNING IS AN APPLICATION OF

ARTIFICIAL INTELLIGENCE (AI) THAT PROVIDES

SYSTEMS THE ABILITY TO AUTOMATICALLY LEARN AND

IMPROVE FROM EXPERIENCE WITHOUT BEING

EXPLICITLY PROGRAMMED.

ARTIFICIAL INTELLIGENCE DETERMINES

MATHEMATICAL EQUATIONS THAT APPROXIMATE

REALITY BY FITTING TO AVAILABLE DATA…

IN OTHER WORDS...

GOING FROM

THIS

TO THIS

SO, WHERE DO YOU

BEGIN?

DECONSTRUCT

THE WORK

JOURNEY MAPS AND PERSONAS”Need to take lots of information and make sense of it.”

“Influence leaders spending the money on projects.”

“Get beaten up by the boss and the business all day.”

“The paper chase is the most pervasive task.”

“When managers have questions or issues I need

to research where contracts are and track them

down, read through the contract, research

invoices, call the supplier, etc.”

IMAGINE A World Where You Could…

Extract and

Summarize

Usable Data

From Sentences

in Contract

Documents like

SOWs

Determine the

Likelihood SOW

Work

Assignments are

Misclassified

Calculate

Potential

Savings

Opportunity if

Sourced Via

Staff Aug Supply

Chain

Summarize

Savings

Potential and

Show Potential

Impacts to

Secondary

Metrics

SOW ANALYZERSTATEMENT OF WORK

TEXT

SIMILAR SOWS CONTAINED

THESE PHRASES

DAYS

STATED COMPLETIONTODAY

EXPECTED DAYS

TO SOW COMPLETION

The Bill Rate for App Developers is 14% lower in Nashville

The bill rate for technicians is 2.5% lower in Raleigh

The time to hire for a business analyst is predicted to be 40 days. Consider starting now

DAYS

ALERTS

Talent Services Analytics AI Stack

TAXONOMY &

CLASSIFICATION

(Apples to Apples)

BENCHMARKS &

COMPARISONS

(What is Normal)

CORRELATIONS &

FORECASTS

(What’s Coming and Going)

DETERMINATIONS &

CONCLUSIONS

(Get Creative)

Which programming skills

are on the rise in Financial

Services?

How do my talent clusters

differ from others in my labor

market or industry?

Which SOW-based worker

assignments are most likely

misclassified?

PATH TO TALENT DECISION AUTOMATION RELIES ON FULL DATA INFRASTRUCTURE STACK

What should I expect to pay

for DBA in NYC?

Do <90 day assignments fill

faster than >90 day

assignments?

Which skills are seen in the

high end of the market vs.

low for DBAs?

Is our job aging performance

improving?

What will happen to my

time-to-fill metric if I were to

cut rates by 5%?

What should I expect to be

paying a DBA in NYC six

months from now?

What target and max rate card

values are ideal for my rate

card?

What savings will my rate card

and sourcing strategy

potentially yield?

How do our workforce planning

scenarios compare?

Elements and characteristics

Conformity and differentiation

Time-based and outcomes-

based

Central tendencies and variances

Multi-dimensional and predictive

Highly contextual and relevant

Trending/time series analysis

”What-if” and “why” modeling

Multi-dimensional forecasting

Transactional decisioning

Aggregate impact decisioning

Scenario-building comparison

READ SOWs• Structure Data• Improve VMS structured

data• Compare to VMS• Audit

• Standardize and categorize SOW data

ANALYZE SOW DATA• Read MSAs and match

SOWs• Compare to AP data• Identify cost savings

opportunities• Categorize and

analyze contract clauses

PREDICT RESOURCE COST• Predict roles needed for

a delivered work product

• Confidence scores for the roles required

• Estimate resources needed for work product

PREDICT PROJECT COST• Estimate effort for work

product• Recommend approach

for type of SOW (milestone, fixed price, time and materials)

• Estimate cost for work effort up to one year

THE JOURNEY

Multi-Dimensional

Forecasting

Example

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Machine Learning in Services

Procurement: It's a Game Changer

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