1 / 15

BloomReach

BloomReach. IBM Service and Support Enablement. Curt Brown Director of Solution Consulting. Personalizing Discovery is A data problem. hover. queries. social. browsing. landing page. clicks. purchases. history. frequency. device. you have thousands of products. m illions of

nani
Download Presentation

BloomReach

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. BloomReach IBM Service and Support Enablement Curt Brown Director of Solution Consulting

  2. Personalizing Discovery is A data problem hover queries social browsing landing page clicks purchases history frequency device you have thousands of products millions of potential consumers all expressing intent in billions of ways

  3. Manual methods: NOT SELF-LEARNING & CHALLENGING TO MANAGE AT SCALE you sell shoes you manually categorize these shoes you build rules to match shoes with consumers running red Shoppers who are browsing from state laced matching cushioned AND are of gender male shoes OR who visited this page 100,000 static, generic rules 10,000 categories using your data & people And 1,000 other products

  4. Problems with the Manual approach • This is a “mud knife” • HomeDepot.comSEO’s for “mud knife” • Their site search does not understand “mud knife” HomeDepot.com carries 61 mud knives

  5. SEARCH FOR “SLEEVELESS TURQUOISE DRESS” Only two results returned, based on “turquoise” keyword match in product name Despite many relevant products in the catalog today

  6. SNAP is Solr (plus much more) Machine Learning Algorithms Data Solr

  7. Demo

  8. Thinking outside of the box leverage big data, outside of your box, to deliver relevance and results site data content product catalog architecture user data queries actions metrics web data millions of URL’s billions of user interactions trillions of intent signals BR SNAP relevant user experiences across devices that match content with demand

  9. Capabilities Overview: bloomreach snap data-driven tools and controls… to deliver the most personal, relevant experiences cross-device personalization and discovery dynamic, personalized experiences across all devices tailored to intent, preferences and past behavior boost or bury products with data use performance data and metrics to promote products prioritize facets and personalize search use intent and behavior datato analyze and control facets and choose the ranking algorithm dynamic navigation and search results relevant auto suggest and personalized navigation and search results for each individual user merchant/marketer tools consumer experience trending and more like this visual navigation and related product recommendations based on preferences and social pipeline data optimize with reporting and tools detailed real-time metrics on performance and tools to make adjustments and track their impact

  10. Installation & set-up • BR Team • Create merchant-specific accounts & configs in BR CMS systems • Set up merchant-specific FTP accounts on BR FTP servers • Provide merchant with merchant-specific on-boarding packet (containing items #1 and #2 above along with other info on how to get started) • Merchant • Follow the steps in the on-boarding packet to setup & configure BR services via the Search Connector • Download and install BR installation files (jar, batch scripts, etc.) • Run batch scripts to generate feeds & upload to BR servers • Update WCS config files to point at BR services • Modify additional config files within WCS • Restart server

  11. Installation & set-up

  12. Architecture

  13. Features Comparison

  14. Troubleshooting • Issue routing • Client will potentially contact either BloomReach or IBM for search related issues • Recommend if using SNAP, client starts with BloomReach • If client starts with IBM, initial triage by IBM • Re-route to BloomReach for Component specific issues: • BR API call related issues • BR Plugin related issues • Content and Data issues related to SNAP. • Examples: Search results, targeting rules, missing products, out of stock, inventory, UI issues in BR widgets • SLAs for support • Critical Support SLA (TBD) • 24x7 Call Service: 888-263-3917 • Urgent Support email: snap-urgent@bloomreach.com • Typical SNAP SLA Response Time (1 Hour) • Non Critical Support (TBD) • Support email: support@bloomreach.com • Typical SNAP SLA Response Time (1 Business Day)

  15. Partnering process • IBM and BloomReach co-sell the joint solution offering • IBM WebSphere Commerce Search Connector • IBM or an IBM Business Partner sells this part of the joint offering • Requires WSC Enterprise Edition V7.0, Feature Pack 7.0 and APAR JR50163 • BloomReach SNAP (Search, Navigation and Personalization) • BloomReach sells this part of the joint offering (subscription based) • When you have identified a prospect, contact BloomReach to identify a peer sales representative & to qualify the opportunity • Email: ibm_sales_support@bloomreach.com • Partner Enablement Contacts • IBM: • Amy Brechin, Business Development Representative, Ecosystem Development • 214-335-3663; abrechi@us.ibm.com • BloomReach: • Chris Gardner, Strategic Partnerships • 415-609-3924, chris.gardner@bloomreach.com

More Related