SlideShare une entreprise Scribd logo
1  sur  2
Télécharger pour lire hors ligne
Business Situation:
Our Client - a leading Fortune 100 firm & one of the largest PC manufacturers in the world - wanted to extend its Lead Velocity by leveraging
Customers online behavior.
The Task:
Develop a framework and related predictive strategy to identify individual Customers buying propensity by leveraging their online activity
along with their firmographics and historical purchase behavior.
Framework:
Mapped web log files to extract unique Businesses visiting specific product-related landing pages on website. This information was then
synthesized with Business firmographics and historical purchase behavior. Predictive models were built to target a specific Customer with a
specific Offer at the right time. It was proven that a specific pattern exists between online visits and subsequent purchase behavior.
Analytics in Action
Leveraging Web Analytics to Increase Lead Velocity
The Result:
• Reconnected with high-value customers most likely to respond by refining targeting continuously throughout the customer life cycle.
• Identified high priority leads with Company/Account name & and products interested in.
• Maximized targeting efficiency of campaigns for better sales enablement; gained incremental revenues/margins from campaigns.
• Extended reach to target accounts at right time when they are most likely to buy.
Client: A Top-3 PC Manufacturer
Content
Categorization
Causality Analysis &
Target Generation
Customer Targeting
Leveraged text mapping
algorithm to identify accounts
associated with domain names
and IP address
Applied content tagging
techniques to categorize the
intent of visitor based on
content consumption
Predictive model built to predict
propensity of Customer to
purchase products in the near
future
Prioritized targets based on
likelihood index or visit index
Customer Mapping
YOUR PARTNER FOR
DATA ANALYTICS SERVICES
MANAGEMENT TEAM
GLOBAL EXPERIENCE.
PROVEN RESULTS.
Roy K. Cherian
CEO
Roy has over 20 years of rich experience in marketing, advertising and media
in organizations like Nestle India, United Breweries, FCB and Feedback
Ventures. He holds an MBA from IIM Ahmedabad.
Anunay Gupta, PhD
COO & Head of Analytics
Anunay has over 15 years of experience, with a significant portion focused
on Analytics in Consumer Finance. In his last assignment at Citigroup, he was
responsible for all Decision Management functions for the US Cards
portfolio of Citigroup, covering approx $150B in assets. Anunay holds an
MBA in Finance from NYU Stern School of Business.
Greg Ferdinand
EVP, Business Development
Greg has over 20 years of experience in global marketing, strategic planning,
business development and analytics at Dell, Capital One and AT&T. He has
successfully developed and embedded analytic-driven programs into a
variety of go-to-market, customer and operational functions. Greg holds an
MBA from NYU Stern School of Business
Kakul Paul
Business Head, CPG & Retail
Kakul has over 8 years of experience within the CPG industry. She was
previously part of the Analytics practice as WNS, leading analytic initiatives
for top Fortune 50 clients globally. She has extensive experience in what
drives Consumer purchase behavior, market mix modeling, pricing &
promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad.
ADVANCED ANALYTICAL SOLUTIONS
MARKETELLIGENT, INC.
80 Broad Street, 5th Floor, New York, NY 10004
1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com
CONTACT www.marketelligent.com
Industry Business Focus Tools and Techniques
Consumer Finance Investment Optimization SAS, SPSS, R, VBA
Credit Cards Revenue Maximization Cluster analysis
Loans and Mortgages Cost and Process Efficiencies Factor analysis
Retail Banking & Insurance Forecasting Conjoint analysis
Wealth Management Predictive Modeling Perceptual maps
Consumer Goods and Retail Risk Management Neural Networks
CPG & Retail Pricing Optimization Chaid / CART
Consumer Durables Customer Segmentation Genetic Algorithms
Manufacturing and Supply Chain Supply Chain Management Support Vector Machines
High Tech OEM’s Sentiment Analysis
Automotive
Logistics & Distribution

Contenu connexe

Plus de Marketelligent

Analytics in action - How Marketelligent helped an Online Remittance firm ide...
Analytics in action - How Marketelligent helped an Online Remittance firm ide...Analytics in action - How Marketelligent helped an Online Remittance firm ide...
Analytics in action - How Marketelligent helped an Online Remittance firm ide...Marketelligent
 
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...Marketelligent
 
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...Marketelligent
 
Retail Banking Analytics_Marketelligent
Retail Banking Analytics_MarketelligentRetail Banking Analytics_Marketelligent
Retail Banking Analytics_MarketelligentMarketelligent
 
Retail Analytics_Marketelligent
Retail Analytics_MarketelligentRetail Analytics_Marketelligent
Retail Analytics_MarketelligentMarketelligent
 
Application of Decision Sciences to Solve Business Problems in the Consumer P...
Application of Decision Sciences to Solve Business Problems in the Consumer P...Application of Decision Sciences to Solve Business Problems in the Consumer P...
Application of Decision Sciences to Solve Business Problems in the Consumer P...Marketelligent
 
Analytics in action - how marketelligent helped a retailer rationalize sku's
Analytics in action - how marketelligent helped a retailer rationalize sku'sAnalytics in action - how marketelligent helped a retailer rationalize sku's
Analytics in action - how marketelligent helped a retailer rationalize sku'sMarketelligent
 
Trade promotion optimization - marketelligent
Trade promotion optimization - marketelligentTrade promotion optimization - marketelligent
Trade promotion optimization - marketelligentMarketelligent
 
Analytics in action how marketelligent helped an auto oem identify 'hot' leads
Analytics in action   how marketelligent helped an auto oem identify 'hot' leadsAnalytics in action   how marketelligent helped an auto oem identify 'hot' leads
Analytics in action how marketelligent helped an auto oem identify 'hot' leadsMarketelligent
 
Unlocking value in merchandise returns marketelligent
Unlocking value in merchandise returns   marketelligentUnlocking value in merchandise returns   marketelligent
Unlocking value in merchandise returns marketelligentMarketelligent
 
Analytics in action how marketelligent helped a card issuer combat transact...
Analytics in action   how marketelligent helped a card issuer combat transact...Analytics in action   how marketelligent helped a card issuer combat transact...
Analytics in action how marketelligent helped a card issuer combat transact...Marketelligent
 
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...Marketelligent
 
CRM Analytics - Marketelligent
CRM Analytics - MarketelligentCRM Analytics - Marketelligent
CRM Analytics - MarketelligentMarketelligent
 
Analytics For Retail Banking - Marketelligent
Analytics For Retail Banking - MarketelligentAnalytics For Retail Banking - Marketelligent
Analytics For Retail Banking - MarketelligentMarketelligent
 
Analytics For Cash Advance Industry - Marketelligent
Analytics For Cash Advance Industry - MarketelligentAnalytics For Cash Advance Industry - Marketelligent
Analytics For Cash Advance Industry - MarketelligentMarketelligent
 

Plus de Marketelligent (15)

Analytics in action - How Marketelligent helped an Online Remittance firm ide...
Analytics in action - How Marketelligent helped an Online Remittance firm ide...Analytics in action - How Marketelligent helped an Online Remittance firm ide...
Analytics in action - How Marketelligent helped an Online Remittance firm ide...
 
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...
Analytics in Action - How Marketelligent helped a Beverage Manufacturer bette...
 
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...
Analytics in Action - How Marketelligent helped a Bank validate a Predictive ...
 
Retail Banking Analytics_Marketelligent
Retail Banking Analytics_MarketelligentRetail Banking Analytics_Marketelligent
Retail Banking Analytics_Marketelligent
 
Retail Analytics_Marketelligent
Retail Analytics_MarketelligentRetail Analytics_Marketelligent
Retail Analytics_Marketelligent
 
Application of Decision Sciences to Solve Business Problems in the Consumer P...
Application of Decision Sciences to Solve Business Problems in the Consumer P...Application of Decision Sciences to Solve Business Problems in the Consumer P...
Application of Decision Sciences to Solve Business Problems in the Consumer P...
 
Analytics in action - how marketelligent helped a retailer rationalize sku's
Analytics in action - how marketelligent helped a retailer rationalize sku'sAnalytics in action - how marketelligent helped a retailer rationalize sku's
Analytics in action - how marketelligent helped a retailer rationalize sku's
 
Trade promotion optimization - marketelligent
Trade promotion optimization - marketelligentTrade promotion optimization - marketelligent
Trade promotion optimization - marketelligent
 
Analytics in action how marketelligent helped an auto oem identify 'hot' leads
Analytics in action   how marketelligent helped an auto oem identify 'hot' leadsAnalytics in action   how marketelligent helped an auto oem identify 'hot' leads
Analytics in action how marketelligent helped an auto oem identify 'hot' leads
 
Unlocking value in merchandise returns marketelligent
Unlocking value in merchandise returns   marketelligentUnlocking value in merchandise returns   marketelligent
Unlocking value in merchandise returns marketelligent
 
Analytics in action how marketelligent helped a card issuer combat transact...
Analytics in action   how marketelligent helped a card issuer combat transact...Analytics in action   how marketelligent helped a card issuer combat transact...
Analytics in action how marketelligent helped a card issuer combat transact...
 
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...
Analytics In Action - How Marketelligent Helped A Bank Retain Its Profitable ...
 
CRM Analytics - Marketelligent
CRM Analytics - MarketelligentCRM Analytics - Marketelligent
CRM Analytics - Marketelligent
 
Analytics For Retail Banking - Marketelligent
Analytics For Retail Banking - MarketelligentAnalytics For Retail Banking - Marketelligent
Analytics For Retail Banking - Marketelligent
 
Analytics For Cash Advance Industry - Marketelligent
Analytics For Cash Advance Industry - MarketelligentAnalytics For Cash Advance Industry - Marketelligent
Analytics For Cash Advance Industry - Marketelligent
 

Dernier

How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our WorldEduminds Learning
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Seán Kennedy
 
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxBoston Institute of Analytics
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSINGmarianagonzalez07
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in collegessuser7a7cd61
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 

Dernier (20)

How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
Learn How Data Science Changes Our World
Learn How Data Science Changes Our WorldLearn How Data Science Changes Our World
Learn How Data Science Changes Our World
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...Student profile product demonstration on grades, ability, well-being and mind...
Student profile product demonstration on grades, ability, well-being and mind...
 
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in college
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 

Analytics in Action - How Marketelligent helped a B2B Retailer Increase its Lead Velocity

  • 1. Business Situation: Our Client - a leading Fortune 100 firm & one of the largest PC manufacturers in the world - wanted to extend its Lead Velocity by leveraging Customers online behavior. The Task: Develop a framework and related predictive strategy to identify individual Customers buying propensity by leveraging their online activity along with their firmographics and historical purchase behavior. Framework: Mapped web log files to extract unique Businesses visiting specific product-related landing pages on website. This information was then synthesized with Business firmographics and historical purchase behavior. Predictive models were built to target a specific Customer with a specific Offer at the right time. It was proven that a specific pattern exists between online visits and subsequent purchase behavior. Analytics in Action Leveraging Web Analytics to Increase Lead Velocity The Result: • Reconnected with high-value customers most likely to respond by refining targeting continuously throughout the customer life cycle. • Identified high priority leads with Company/Account name & and products interested in. • Maximized targeting efficiency of campaigns for better sales enablement; gained incremental revenues/margins from campaigns. • Extended reach to target accounts at right time when they are most likely to buy. Client: A Top-3 PC Manufacturer Content Categorization Causality Analysis & Target Generation Customer Targeting Leveraged text mapping algorithm to identify accounts associated with domain names and IP address Applied content tagging techniques to categorize the intent of visitor based on content consumption Predictive model built to predict propensity of Customer to purchase products in the near future Prioritized targets based on likelihood index or visit index Customer Mapping
  • 2. YOUR PARTNER FOR DATA ANALYTICS SERVICES MANAGEMENT TEAM GLOBAL EXPERIENCE. PROVEN RESULTS. Roy K. Cherian CEO Roy has over 20 years of rich experience in marketing, advertising and media in organizations like Nestle India, United Breweries, FCB and Feedback Ventures. He holds an MBA from IIM Ahmedabad. Anunay Gupta, PhD COO & Head of Analytics Anunay has over 15 years of experience, with a significant portion focused on Analytics in Consumer Finance. In his last assignment at Citigroup, he was responsible for all Decision Management functions for the US Cards portfolio of Citigroup, covering approx $150B in assets. Anunay holds an MBA in Finance from NYU Stern School of Business. Greg Ferdinand EVP, Business Development Greg has over 20 years of experience in global marketing, strategic planning, business development and analytics at Dell, Capital One and AT&T. He has successfully developed and embedded analytic-driven programs into a variety of go-to-market, customer and operational functions. Greg holds an MBA from NYU Stern School of Business Kakul Paul Business Head, CPG & Retail Kakul has over 8 years of experience within the CPG industry. She was previously part of the Analytics practice as WNS, leading analytic initiatives for top Fortune 50 clients globally. She has extensive experience in what drives Consumer purchase behavior, market mix modeling, pricing & promotion analytics, etc. Kakul has an MBA from IIM Ahmedabad. ADVANCED ANALYTICAL SOLUTIONS MARKETELLIGENT, INC. 80 Broad Street, 5th Floor, New York, NY 10004 1.212.837.7827 (o) 1.208.439.5551 (fax) info@marketelligent.com CONTACT www.marketelligent.com Industry Business Focus Tools and Techniques Consumer Finance Investment Optimization SAS, SPSS, R, VBA Credit Cards Revenue Maximization Cluster analysis Loans and Mortgages Cost and Process Efficiencies Factor analysis Retail Banking & Insurance Forecasting Conjoint analysis Wealth Management Predictive Modeling Perceptual maps Consumer Goods and Retail Risk Management Neural Networks CPG & Retail Pricing Optimization Chaid / CART Consumer Durables Customer Segmentation Genetic Algorithms Manufacturing and Supply Chain Supply Chain Management Support Vector Machines High Tech OEM’s Sentiment Analysis Automotive Logistics & Distribution