Predicting Retail KPIs using Magento & Machine Learning

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Post on 11-Aug-2014



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Presentation by Dhruv Boruah at Magento Live UK


<ul><li> machine learning Magento &amp; </li> <li> About me </li> <li> Dhruv Boruah Co Founder, </li> <li> Agenda </li> <li> Agenda Your KPIs Session Goal Interesting Magento Data Magento Case Tools/How? Demo Q&amp;A </li> <li> Your KPIs Are you asking the right questions? How much do you know about your customers? AOV/LTV/GPM Sales/Returns/Shippin g Churn Rate Abandonment Rate External Factors Weather/ Forex/ Holiday/Newsletters Census (birth/death/age) </li> <li> Machine Learning A branch of artificial intelligence, concerns the construction and study of systems that can learn from data. Source: </li> <li> Session Goal </li> <li> How to predict customer behavior using machine learning? </li> <li> Interesting Magento Data </li> <li> 1. log_visitor_online (visitor_id, type, ip, customer_id, last_url ) 2. log_visitor (visitor_id, session_id, first &amp; last visit, last_url, store) </li> <li> 3. Viewed product (visitor_id, customer_id, product_id, store) 4. Aggregated viewed products(view_num, price, name, store) </li> <li> 5. Quote tables </li> <li> Magento Case </li> <li> Case Retailer A trades in: Clothing/ Toys/Shoes/Home etc. Goal: Predict checkout intent of online customers Deliver personalize promotion to prevent cart abandonment </li> <li> Tools </li> <li> How? </li> <li> How? Listens for events Does delta sync Processes responses Magento Extension Scalable Infrastructure Slave Database NoSQL Google/Amazon </li> <li> How? YES/ NO Slave Database Flatten Magento Tables NoSql database Data Warehouse Transaction History Merchandising Operational Marketing Modeling Preparation Training Predict Predict </li> <li> Training Model Successful Checkouts Created date/time Remote IP Base subtotal Items Customer is guest Category Location Training Model Unsuccessful Checkouts </li> <li> Demo </li> <li> Questions/Comments? @dhruvboruah abandonment-detection-and-prevention.html </li> </ul>