Ecommerce search is broken. If a problem cannot be solved, enlarge - PowerPoint PPT Presentation

Ecommerce search is broken.

If a problem cannot be solved, enlarge it -Dwight D. Eisenhower, 34th President of US

1 Understanding users is too slow and too complicated

2 The cost of experimenta:on is too high and too manual

3 Why are you buying your own data back from your vendors?

4 The AI gap is widening

Lucidworks powers retail and consumer search Based in San Francisco Offices in Bangalore, Bangkok, New York City, Raleigh, London Over 300 customers across the Fortune 1000 Fusion, a Solr-powered plaOorm for search-driven apps

Next-Gen Results. No PhD Required.

• Cogni&ve: machine learning to automa<cally tune relevancy and drive recommenda<ons out of the box. • Rules when you need them: 
 Point-and-click query pipeline configura<on and rules module allow fine-grained control of results. • Science, not guessing: Experiment management and bandits do the heavy liEing of systema<cally tes<ng new ideas

Simplified App Dev

• Over 50 connectors and a robust parsing framework to seamlessly ingest all your data • Powerful pipeline stages: Customize fields, stages, synonyms, boosts, facets, and dozens of other powerful search stages. • Point and click Indexing configura&on and itera<ve simula<on of results for full control over your ETL process • Your security model enforced end-to-end from ingest to search across your different datasources

Trusted Technologies SQL

• Built on the most widely deployed search engine on the planet Trusted Technologies • Enhanced with scalable machine learning and analyRcs SQL • Well understood and documented APIs and client support designed to work with industry standard tools like SQL and Tableau • Enriched with deep experRse and partners and a large community

UI should be beau&ful

UI should be beau&ful • Modular library of UI components to create prototypes in hours, not weeks. • Stateless architecture so apps are robust, easy to deploy, and highly scalable. • Supports over 25 data plaIorms including Solr, SharePoint, Elas<csearch, Cloudera, ANvio, FAST, MongoDB, and many more - and of course Lucidworks Fusion. • Full library of visualiza&on components for charts, pivots, graphs and more. • Pre-tested re-usable modules include pagina<on, face<ng, geospa<al mapping, rich snippets, heatmaps, topic pages, and more.

Retail Highlights “Have a good weekend” — Head of search at top 5 US Retailer on Black Friday to our support team

Mee'ng the Ecommerce Challenge Conversion & Revenue Personalization Recommendations Head/Tail Landers/Boost/Block Business Support Query Simulations Category Management Analytics Business Rules UI Intelligence Signal Processing Machine Learning Query Intent Smart Suggest Open & Scalable Proven Search Extensible Simplified DevOps Real Time

Signals: the Key to Retail Success • Fusion has naRve support for capturing and processing a wide variety of user feedback data, including: • Clicks, Add To Cart, Conversions • Easily integrates with 3rd party analyRcs systems like Omniture/SiteCatalyst and Hadoop systems • We ship with ready to go models for clickstream boosRng and recommendaRons built on signals • Deploy and access just like any other Fusion content!

Rules, Modernized The Fusion Rules Module extends Fusion with: • Support for: • Keyword, Tags, start/end date matching • Boost/block, filters, promoRons/landers/ redirects, arbitrary request parameters • UI • Query Pipeline integraRon • Extensible • AudiRng and security built-in

If the Machines Ain’t Learning, You Ain’t Earning • CapabiliRes include: • Clickstream auto-tuning relevance and analyRcs • Query Intent and Document ClassificaRon • RecommendaRon and PersonalizaRon • Synonym Discovery and Expansion via Word2Vec, Cluster Labeling, Topic DetecRon • A/B/MulRvariate TesRng (MulR-arm bandit experimentaRon) • Learning to rank • Custom algorithms • Fully integrated into Fusion index and query pipelines

BI Ready • Out of the box search reports and dashboards • Full SQL 2003 compliant interface • Seamless integraRon with any SQL-based Business Intelligence tool (e.g. Tableau) • Numerous pre-defined jobs for common tasks • Want to do your own math? Scala, Java and Pyspark all supported • Data Science Notebook support (Zeppelin, Jupyter)

Fusion Architecture Core Services Apache Spark ETL and Query Pipelines Cluster Worker Worker Manager Fusion App Studio Recommenders/Signals Web App REST API | SQL NLP Apache Solr Machine Learning Shards Shards Client HDFS (Optional) Scheduling APIs/SQL MOBILE Alerting and Messaging Apache Zookeeper SQL and Catalog ZK N ZK 1 LB • • • Shared Config Search Devs Leader Election Connectors/Federation Management ANALYTICS Admin UI ElasticSearch SECURITY BUILT-IN LOGS FILE WEB DATABASE CLOUD 3rd Party APIs

Demo

Demo Details • Ecommerce Data Set - Product Catalog: ~1.3M - Signals: 1 month of query, document logs • Fusion 3.1 Preview showcasing: • User-Item, Item-Item, Query-Query RecommendaRons • Clickstream boosRng • Query Intent classificaRon + Learn to Rank • Rules Module • Lucidworks App Studio UI (aka Twigkit)

Resources • hnps:/ /lucidworks.com/online-retail/ • hnps:/ /lucidworks.com/fusion/ (3.1 very soon!) • hnp:/ /lucidworks.com

Thank You