Data Science for Gas Stations

1. DATA SCIENCE FOR BUSINESS OUTCOMES
By Novel Analytics
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Contact Info
Ramgopal Prajapat
Ex- Senior Manager Accenture Applied Intelligence
ramgopal@novel-analytics.com
https://novel-analytics.com/
NOVEL CONSULTING
GROUP 3 GERMAY DR,
UNIT 4 WILMINGTON, DE 19804
PHONE: +1 855 334 4665

2. Outcomes
Insights
Efficiencies
Deep Learning & AI Based
Products
Chatbots for enhanced
customer experience
Develop & Deploy ML Models on
Cloud (AWS, Azure)
Use Cases Identification
Data to Actionable Insights
AI enabled Process Automation
Visualization for Decision Makers
Report Consolidation
WE DELIVER
Business Story Telling from Insights
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3. WHAT ARE WE SKILLED AT
DOMAIN
TECHTOOLS
Customer | Credit Card | Wealth Management |
Home Loans | Auto Finance | Digital marketing |
Risk & Compliance | etc.
RF | GBM | SVM | ANN | CNN | RNN |
LSTM | NLP / NLU | BERT,etc.
Python | R | SAS | SQL | AWS |
Oracle | Spark | Django | etc.
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4. DATA SCIENCE & AI DELIVERY EXPERIENCE
Reporting &
Visualizations 4
Marketing
Analytics
ML, DL & AI
Risk & Fraud
Analytics
Customer Analytics
Data
Predicable and Trusted Partner for
Visualization, BI , Data Science, & AI Delivery

5. ML, DL and AI for your business needs
We keep your business ahead of competitors by partnering with you for Machine Learning, Deep Learning & AI Capabilities
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AI Based Invoice Data Extraction
Leverage AI and Deep Learning algorithm and well defined framework to help you
manage invoice data extraction process automation
Sentiment Analysis
Extract information from comprehensive set of sources – social media, reviews,
internal and external data to develop Sentiment Index and detailed actionable
insights
Engagement Bot
24X7 Engagement Bots for your clients, prospective buyers, employees and
vendors to engage them with rights set of information

6. 6
Business Performance Monitoring & Visualization
Novel Analytics partners with the organizations to support regular needs of creating reports, automating the processes and
communicating insights with great visualizations
Visualization
Business Intelligence &
Reporting
• Design, develop and deploy
reporting needs of all the
key stakeholders
• Reporting standardization
and automation
• Migrating excel based
reporting or ad-hoc data
needs to self serve BI
services
• Enable better ROI of your data and
technology assets with focus on
visualizations and insights
• Agile Delivery Approach and faster
requirement to
production/consumption of
visualization
• Visualization Delivery Framework –
Requirement Sessions, Data
Discussion, Wireframe Design –with
focus on storytelling, Dev Design
Delivery, Testing & Final Delivery,
Production Setup

7. Data Services
We help you harness value of your asset – Data – for creating value –both increasing revenue and managing cost
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Data
Augmentation
Data
Management
Data Quality
Engineering
• Manage diverse streams of structured
and unstructured data
• Extract and transform data to enable
business insights and predictive
models
• MDM services
• Metadata Management
• Data quality review services
• Machine Learning based Data Quality
review processes
• Monitoring, profiling and fixing data
Quality issues
• Augmenting internal data sources with
external data e.g. industry trends,
user reviews, competitor data, social
media data
• Sourcing, cleaning, transforming and
managing the external data

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Customer Experience and Marketing Analytics
We @ Novel Analytics help organizations improving customer experience using Science for Data & Decisions –Data Science,
Machine Learning, Deep Learning and AI
Leads Identification
Leads Profiling & Prioritizations
Leads Qualifications and Value Estimation
Campaign Performance Reporting & Visualizations
Campaign Optimization & Reward Analytics
Campaign Response Modeling
Customer Value Modeling & Engagement Strategies
Customer Journey Mapping & Analytics
Needs identifications & Recommendation Modeling
Customer Complaints Analytics, Topic Modeling and Re-engagement Analytics
Retention Modeling
Machine Learning based Predictive
Models to identify the credit card
customers who needs PL, Credit Line
Increase, Spend or BT Offer
Needs Identification Model
Tracking cross-sell campaigns to
calculate ROI and Performance
Metrics, create visualizations and
prepare insights story
Campaign Insights

9. 9
Quantitative Methods for Risk & Fraud Management
Using Data Science, Machine Learning and Deep Learning based Quantitative Methods for Risk, Governance and
Compliance
Data Reporting Modelling
• Credit Risk Analytics: Scorecard Development, Model Validation & Monitoring
• Proactive, Predictive and Preventive Process Compliance Analytics
• Fraud and Anomaly Detection: Transactional & Application Fraud Modeling
• Financial Crime Analytics and AML: Rules-based analytics and network linkage
Developed a comprehensive model
monitoring framework – which include
model stability. Model performance and
model alignment analysis & visualization
Credit Risk Model Monitoring
Leveraging Machine Learning, Network
Analysis and Functional Peer Group
Analysis to identify Anomalies in the data
– for identifying fraud, compliance misses,
etc
Anomaly Detection

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MarketingVendor & Sourcing
Planning &
Inventory
Customer Analytics
• Vendor invoice & pricing
analytics
• Vendor Lead time analytics
• Supply chain analytics
• Route Optimization
• Demand Forecasting &
Planning
• Assortment Planning
• Category Management
• Mark Down Optimization
• Market Basket Analysis
• Market Mix Optimization
• Marketing Effectiveness
• Respond Modeling
• Store Promotion Analytics
• Attribution Modeling
• Customer Segmentation &
Need Identification
• Loyalty Analytics
• CLTV Modeling & Strategy
• Customer Retention
Modeling & Insights
Data Science for CPG and Retail

11. OUR IDEAS FOR GAS STATIONS
Scan QR Code Select the Products and Add
it to the cart
Pay (Auto Deduct) &
Check-Out
1 2 3
Digitize Customer
Experience
Auto & Personalized Cart for
a customer with ML
Preventive Maintenance
using Predictive Models
Smart Reordering using Deep
Learning Models
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