Warpspd AI Marketing

Transcript

1. HEY PHYSICAL, MEET DIGITAL AI powered consumer engagement & personalized recommendation solution for brick & mortar retail 1 SPEED IS LIFE
2. Lack of digitization is hurting Retail - POOR SALES DUE TO LACK OF IN-STORE PERSONALIZATION - LOW MARGINS AND POOR PROFITABILITY Minimal Customer Engagement and Retention Ineffective Store Inventory Management Inadequate customer engagement and lack luster in-store experience No visibility into visitor preferences and buying behavior Lack of granular product metadata at store level - slow moving, bestseller, liquidation, discontinued Retailers cannot control high cost of slow-mover inventory or maximize margins on bestsellers at store level 2
3. Meet WarpSpd AI powered Omni- channel Campaigns Smart Personalized Engagement AI powered Profiling and Recommendations We tackle poor customer conversions and ineffective inventory management via a three- pronged approach: AI powered consumer engagement, personalized recommendation & inventory optimization solution for Brick and Mortar Stores 3 1 2 3
4. Smart Personalized Engagement In Store experiences Draw Visitor Attention GAMIFICATION DEAL OF THE DAY CONTESTS FEEDBACK PRODUCT INFO Experiences Offered via 3 channels 1. IN STORE KIOSK 2. STORE ASSOCIATE ASSISTANCE TABLETS 3. QR CODE SCAN ENABLED EXPERIENCE ON SMARTPHONE - In-store experiences inform the user of relevant merchandise and deals - AI based personalized experiences for repeat customers - Experiences draw visitor attention making consumer engage with retailer / brand - Adequate human and technology driven engagement improves probability of sale - Visitor profile created and enriched over subsequent visits and purchases 4 1
5. Near & In-Store Interactive Experiences • Convert window shoppers with games • Increase walk-in’s with in-mall promotions & coupons • Create excitement with digital offers • Collect valuable insights for retargeting and conversion • Time based deals creates urgency • Quickly liquidates the EOL / aging stock • Helps manage store level promotions • Digital option to announce the current in-store promotions • Increased sale of slow moving products by 25% GAMIFICATION DEAL OF THE DAY 5
6. In-store Product Browsing • Creates Next-Gen store experience • Eliminates loss of sale, due to non availability of a product in-store • Detailed product information for informed shopping 6
7. Feedback & Contest Interactive Customer Experiences CAPTURE FEEDBACK • Improve product and services • Improve customer retention • Evaluate performance of store associates • Plan product mix based on customer preferences Reduce customer issues by 15% 7 RUN CONTESTS • Create excitement in and around stores for specific events • Collect customer information • Engage customers in the mall/outside the store during slow periods Engage with 67% of walk-ins
8. Our Proprietary AI solution brings e-commerce like personalized recommendation capabilities to brick and mortar retail stores improving in-store conversions and store inventory management WarpSpd creates AI powered Multidimensional Profiles And matches the Right Product SKU with the Right Customer AI Powered Profiling and Recommendations CUSTOMER PROFILE Lifetime Value Behavior Preferences Engagement Patterns PRODUCT PROFILE Best selling Slow movers New arrivals Brands Categories Classification 8 2
9. AI Powered Omni-Channel Campaigns Channels used to Deliver Product & Promotions Recommendations How AI powers Omni-channel Campaigns Choice of Channel Omnichannel Campaign Optimization For Existing Customers For New Customers - Consumer's previous engagement patterns - Channels where consumer shows higher proclivity to buy - Engagement patterns of existing similar customers - Dimensions of Similarity: Lifetime value, behavior, preferences, engagement patterns and demographics 9 3 - Content, frequency and timing of messages optimized by AI SEO, Re- targeting Online Online
10. AI driven personalization provides visibility into consumer purchasing patterns, recommends the right product SKU to right customer, improves in-store inventory management and drives omni-channel campaigns to increase conversions and sales. How the 3 pieces tie together: An Illustrative use Case 10
11. Overall Architecture AI driven quadrant analysis, campaigns, customer segmentation, personalization and action recommendations Retailers Systems Integrations - POS System - Email & SMS - Omni Channel WarpSpd Retailer Apps available on Mobile and Desktop WarpSpd Customer Apps available on Kiosk, Mobile and Web Proprietary AI & ML Algorithms Content Management Backend Configuration Data Stores AI & ML Product Profiles Analytics AI & ML Consumer Profiles User Management Manual Marketing Tools 11
12. WarpSpd Technology Stack Powering scalable real-time & data- driven applications SKACK Stack Users Events - Spark - Kafka - Akka - Cassandra - Kubernetes Data Processing & Analytics NoSQL DB Born at Facebook, adopted by Google Toolkit to build Reactive Apps WarpSpd AI Engine Container orchestration Used by Google Endpoints Publish- Subscribe messaging system for Feeds Users Enabling dynamic web applications LAMP Stack - Linux - Apache (Web server) - MySQL - PHP Web server Relational DB FirstHandle Application Operating System Scripting 12
13. Traction in Asia with global retailers validates market opportunity in retail 13
14. Figures are for 120 stores across approx. 100,000 customers between April 1 2018 and Mar 31 2019 HIGHER CONSUMER ENGAGEMENT HIGHER IN-STORE CONVERSION RECOVERING LOST CUSTOMERS RESULTS IN HIGHHER STORE SALES …walk-in consumers interacted …of those who did not make a purchase returned and purchased …of lost consumers from last 3 years bought again …average increase in overall stores sales 45% 26% 6% 6% = + + WarpSpd usage is driving improvement in store KPIs 14
15. Live in over 200 global retail outlets 15
16. Proven results in Asia with global retailers 16 GAP @ DLF Mall of Noida, India Lawrence & Mayo, Pune Firefox, Pune LG @ GIP, Noida
17. Apple Stores – Case Study 5.02% 2.1X 1.31X 0.8X Revenue Contribution New user acquisition Repeat Walk-ins Acquisition Cost 1.2X 1X 17
18. Thank you 18