pears systems
TRANSCRIPT
PEARS
About PEARS
We are a team of Engineers, researchers and product managers.
PEARS “Personalization and Recommendation System”
40%Snapdeal orders
5%Sales boost after
launching Personalized Products
25 MillionUsers are recommended products
50K+Sellers
3M+Daily users
We generate
100TB+Data per day
PEARS 360 degree analysis
360°
USER PRODUCT
Purchase Data Search Data Click/View Data Wish-list Data Cart Data
Social SignalsCustomer Care
dataUser DemographicReviewsGeolocation
Recommended Products
Category Affinity Brand Affinity Filter Affinity
Real-time Purchase Probability
User categorizationReal-time promos/
discounts
USER
Product Explicit data
Price history Seller details Sale history Product visits data Offer/Promo
FeedbackAdwords dataSocial dataOutside dataTags
User AffinityGeo-location based
TargetingSale prediction
Product QualitySeller QualityProduct
categorization
PRODUCT
PEARS Architecture
PEARS Architecture
PEARS Data Ingestion Layer
Consumer layerQueuing layer
WEB
LOGS
DATABASE
NOSQL
EXTERNAL
Data Ingestion Layer
gulpR
Data Sources Persistence layer
CAMUS
PEARS Data Science Engine
Data Science Engine
• Machine Learning• Data Mining• Text Mining• Statistical Analysis
Technologies
PEARS Data Products
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Data Analytics & Business Intelligence
Data
Sources
Analytics
Cloud
Data
Aggregation
Data
Insights
Transaction Data
Orders
Supply Chain
Financial
Customer Care
Etc
Data Cluster Scalable to
Peta Bytes
Non Txn Data
Web Logs
MongoDB
User Profile
Catalog Data
Browsing Data
External Data
Omniture
Social
Columnar Database
Data Warehouse
Snapdeal API
Business Intelligence
Reports
Adhoc & Periodic
API Client
Internal & External
Data Analytics & Business Intelligence
Online Data Processing
Online Data Processing
• High Speed Product Updates 2 million per hour
• High Speed Search Indexing 1 million per hour
• Seller Ranking 1 million per hour
• Optimized Courier Allocation 26 million rule combinations
• Flash Sale 100K orders per minute
• Rich Product Listing 200K per second
Challenges
Challenges
• Real-time Analytics– Personalization– Business Intelligence
• Large Scale Data Processing within minimal time with least resources
• On-line Data Processing– Growing Catalog – Growing Seller Base– Extremely High read-write Systems
Thank You!