Harnessing the Power of Big Data to Run Data Driven eCommerce Company
BLIBLI.COM Was founded in July 25 th , 2011
Our Product Categories
Our Business Models
Our Members & Fans 788,000++ likes 334,000++ followers 2,200,000++ Members 29,000++ followers 1,500,000++ Subscribers *) Data per Apr 2016. Source: Blibli.com Internal Data
Merchants & Products 640,000++ 9,300++ 8,800++ *) Data per Apr 2016. Source: Blibli.com Internal Data
Our Payment Methods ATM Debit / Convenience Credit Store Card Transfer Electronic Method Money Internet COD Banking Payment
Wide Distribution Network
Our Shipping FREE Shipping NO ALL KINDS ALL OVER MINIMUM OF INDONESIA PAYMENT* PRODUCT* * *) Except products that need special treatment **) Except diapers & milk product, min. IDR 350k
Traffic Growth 272 x Traffic Growth Mar 2016 vs May 2011 650.000 ++ Users / Day* 900.000 ++ Sessions / Day* 3.300.000 ++ Pageviews / Day* 4.35x YoY Growth (Q1 2016 vs Q1 2015) 2011 2012 2015 2016 2013 2014 *) Data per May 2016. Source: Blibli.com Google Analytics
Sales Growth 240 x Sales Growth FY 2011 vs 2015 5x YoY Growth (2015 vs 2014) 2011 2012 2013 2014 2015 *) Data per Apr 2016. Source: Blibli.com Internal Data
Data Ingestion Store Front Events Back Office Events • Transactions • Order validation • Cart, Wishlist • Payment • Page views, sessions • Fulfilment • Banner impression & click • Product upload, approval • Product search • Inventory movement • Social media sharing • Customer service interaction Current ingestion rate of 10M+ records daily
System Architecture
Sample Use Cases Recommendation Search Analysis Fraud Detection Logistics Selection Customer Segmentation Merchant Analysis
Recommendation • Customers who viewed X also viewed Y • Customers who bought X also bought Y Product • Customers who viewed X eventually bought Y Recommendations • Similar products • Frequently bought together • Top searched items Search • Search box auto-complete Recommendations • Related searches • Personalized content Newsletter • Personalized promotional offer Personalization • Personalized products
Recommendation • Product view • Wishlist • Promo view • Cart • Banner clicks • Order Clickstream Transactions Product User Profile • Attributes • Gender • Category • Age • Price • Location
Search Analysis Searched text 40% of all searches return 0 results WHY? Search • Typo in search results • Product not available • Search improvements Search result clicks
Fraud Detection System
Logistics Partner Selection Price {From, To, Weight} Capa- city Logistics Performance
Customer Segmentation
Merchant Analysis • Out of stock • Returned product • SKU uploaded • Late delivery • SKU published • Sales • Product review
THANK YOU
Recommend
More recommend
