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How Bosch Power Tools leverages
User Data and AI to listen to the Voice
of the Consumers
Pooja Bhatia Lead Data Scientist
Nina Rsumovic Data Engineer
DSC EUROPE 22
1
2
3
4
5
Agenda
2
Voice of the Consumer
Introduction
Machine Learning
Aspect Based Sentiment Analysis
Visualization of Insights
Frontend Dashboard
Topic Detection
Unsupervised AI
Machine Learning Infrastructure
Technologies and frameworks
1
2
3
4
5
Voice of the Consumer
Did you know?
93% of consumers read online reviews
before making a purchase.
94% of consumers have avoided a
company because of its negative
reviews.
*https://trustmary.com/reviews/online-reviews-statistics-that-will-blow-your-mind/
3
Leverage user feedback
Voice of the Consumer
4
Customer Care Service and
Repair centers
Marketing Product Quality Business
decisions
Builds emotional
connection with
customer
Responds fast and
efficient
Directs the flow of
products and services
to the consumer
Meets the need of the
consumer
Enhances profitability
5
Listening to the Voice of our Users.
Value Stream
1101 1010 1010 Data Flow
AI Algorithms
Products/Services
Supervised and unsupervised
NLP machine learning
approaches to gain insights.
Most important data
sources:
• User Reviews
• Surveys
• Service Tickets
• Social Media
Products and
services matching
user requirements
Faster ideation and concept
phases in development process.
Insights bundled and available in
knowledge base.
Unknown
User
Well-known
Bosch User
6
Bosch Power Tool leverages Data & AI to listen to
the Voice of our Consumers
Value
Creation
AI Models
Data Preprocessing
(Data Cleaning + EDA Methods)
User Reviews
BERT Language Models
User Insights
Target Label Prediction
Text Classifier
+ +
Document Annotation
Listening to the consumer voices on the internet, analyze it with the state-of-the-art AI models to understand the
needs and to translate them into internal action.
AI
7
Supervised AI: The AI Automatically Detects
consumer topic & consumer satisfaction
• Global Classification Standard for 161+
Aspects​
• Combined set of training data of 160k+
documents and growing​
• Internal call center to generate training
data​
Loudness
Performance
Bought this item
few months back.
While I am
satisfied with the
performance, it is
quite loud, given
its high power and
output.
8
ML Pipeline for Aspect Based Sentiment Analysis
Benefits of In housing AI Capabilities
9
With one global ENGLISH AI,
all languages are covered
The accuracy of the AI
is at least 80%
75% more AI models, due to scalable
state of the art algorithms
100% 80% 75%
Language Coverage Accuracy of AI Scalable AI Models
Visualization of Insights
10
Unsupervised NLP Usecase & Business Potential
11
Business Potential
Scalable Insight Generation
From review data to any text data
source e.g. Customer Email, NPS
Stay Competitive & Enable
Disruptive Innovation
Trend Analysis & Market
Intelligence Automation
0 1000 2000 3000
can´t find registeration page
email address incorrect/wrong
forgotten my password
wrong website
won´t accept model number
account creation problem
trying to register
warranty/ guarantee extension
Can´t find any 10 digit model…
Key issues found in product registration process
Pilot on Unsupervised AI
Pain points confimed by Unsupervised NLP Technique
Problem Statement:
HG realized overproportional number of tickets in UK call center,
wondering why?
Orbital sander, a little
weak but okay working,
what disturbs is that the
filter is quickly full
Topic Representation:
Machine is efficient, not too messy. The
negative point is that the sanding sheet is
removed from the scratch pad when it is
used. Orbital sander, little weak but okay
working, what disturbs is that the filter is
quickly full, Handy vibrating sander.
Topic Summary:
Efficient not too messy. Negative point is
that sanding sheet is removed from
scratch pad when it is used .
Topic Detection using Unsupervised NLP
Review, Surveys,
Email etc.
Anonymize personal
information
Optional for Emails
Topic Representation
& Summarization
Classify documents
as Positive, Neutral
Negative
Clustering: Generic,
particular Aspect,
particular Product
Catergory
Topic Detection using Unsupervised NLP
Review, Surveys,
Email etc.
Anonymize personal
information
Optional for Emails
Topic Representation
& Summarization
Classify documents
as Positive, Neutral
Negative
Clustering: Generic,
particular Aspect,
particular Product
Catergory
In Production
Supervised Machine Learning Architecture
14
MVP
Unsupervised Machine Learning Architecture
15
16
Technologies and frameworks
Azure Data Lake Gen2 Azure SQL Database
Azure Data Factory
Azure Web App Azure Translation Service
Azure ML Studio
Azure Active Directory
Q&A
CODE#LikeABosch
We code the future
Join Us:
www.bosch.com/careers

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[DSC Europe 22] How Bosch Power Tools leverages User Data and AI to listen to the Voice of the Consumers - Pooja Bhatia & Nina Rsumovic

  • 1. How Bosch Power Tools leverages User Data and AI to listen to the Voice of the Consumers Pooja Bhatia Lead Data Scientist Nina Rsumovic Data Engineer DSC EUROPE 22
  • 2. 1 2 3 4 5 Agenda 2 Voice of the Consumer Introduction Machine Learning Aspect Based Sentiment Analysis Visualization of Insights Frontend Dashboard Topic Detection Unsupervised AI Machine Learning Infrastructure Technologies and frameworks 1 2 3 4 5
  • 3. Voice of the Consumer Did you know? 93% of consumers read online reviews before making a purchase. 94% of consumers have avoided a company because of its negative reviews. *https://trustmary.com/reviews/online-reviews-statistics-that-will-blow-your-mind/ 3
  • 4. Leverage user feedback Voice of the Consumer 4 Customer Care Service and Repair centers Marketing Product Quality Business decisions Builds emotional connection with customer Responds fast and efficient Directs the flow of products and services to the consumer Meets the need of the consumer Enhances profitability
  • 5. 5 Listening to the Voice of our Users. Value Stream 1101 1010 1010 Data Flow AI Algorithms Products/Services Supervised and unsupervised NLP machine learning approaches to gain insights. Most important data sources: • User Reviews • Surveys • Service Tickets • Social Media Products and services matching user requirements Faster ideation and concept phases in development process. Insights bundled and available in knowledge base. Unknown User Well-known Bosch User
  • 6. 6 Bosch Power Tool leverages Data & AI to listen to the Voice of our Consumers Value Creation AI Models Data Preprocessing (Data Cleaning + EDA Methods) User Reviews BERT Language Models User Insights Target Label Prediction Text Classifier + + Document Annotation Listening to the consumer voices on the internet, analyze it with the state-of-the-art AI models to understand the needs and to translate them into internal action. AI
  • 7. 7 Supervised AI: The AI Automatically Detects consumer topic & consumer satisfaction • Global Classification Standard for 161+ Aspects​ • Combined set of training data of 160k+ documents and growing​ • Internal call center to generate training data​ Loudness Performance Bought this item few months back. While I am satisfied with the performance, it is quite loud, given its high power and output.
  • 8. 8 ML Pipeline for Aspect Based Sentiment Analysis
  • 9. Benefits of In housing AI Capabilities 9 With one global ENGLISH AI, all languages are covered The accuracy of the AI is at least 80% 75% more AI models, due to scalable state of the art algorithms 100% 80% 75% Language Coverage Accuracy of AI Scalable AI Models
  • 11. Unsupervised NLP Usecase & Business Potential 11 Business Potential Scalable Insight Generation From review data to any text data source e.g. Customer Email, NPS Stay Competitive & Enable Disruptive Innovation Trend Analysis & Market Intelligence Automation 0 1000 2000 3000 can´t find registeration page email address incorrect/wrong forgotten my password wrong website won´t accept model number account creation problem trying to register warranty/ guarantee extension Can´t find any 10 digit model… Key issues found in product registration process Pilot on Unsupervised AI Pain points confimed by Unsupervised NLP Technique Problem Statement: HG realized overproportional number of tickets in UK call center, wondering why?
  • 12. Orbital sander, a little weak but okay working, what disturbs is that the filter is quickly full Topic Representation: Machine is efficient, not too messy. The negative point is that the sanding sheet is removed from the scratch pad when it is used. Orbital sander, little weak but okay working, what disturbs is that the filter is quickly full, Handy vibrating sander. Topic Summary: Efficient not too messy. Negative point is that sanding sheet is removed from scratch pad when it is used . Topic Detection using Unsupervised NLP Review, Surveys, Email etc. Anonymize personal information Optional for Emails Topic Representation & Summarization Classify documents as Positive, Neutral Negative Clustering: Generic, particular Aspect, particular Product Catergory
  • 13. Topic Detection using Unsupervised NLP Review, Surveys, Email etc. Anonymize personal information Optional for Emails Topic Representation & Summarization Classify documents as Positive, Neutral Negative Clustering: Generic, particular Aspect, particular Product Catergory
  • 14. In Production Supervised Machine Learning Architecture 14
  • 16. 16 Technologies and frameworks Azure Data Lake Gen2 Azure SQL Database Azure Data Factory Azure Web App Azure Translation Service Azure ML Studio Azure Active Directory
  • 17. Q&A
  • 18. CODE#LikeABosch We code the future Join Us: www.bosch.com/careers