Xelpmoc Design And Tech Ltd · NSE:XELPMOC

Xelpmoc Design And Tech — Q3 FY20 Earnings Presentation

23 slides from Xelpmoc Design And Tech's earnings presentation, Feb 5, 2020

  1. Slide 1: Cover letter to BSE and NSE

    {xelp} February 05, 2020 To BSE Limited National Stock Exchange of India Department of Corporate Services Limited Listing Department Listing Department P J Towers, Exchange Plaza Dalal Street, Plot no. C/1, G Block, Mumbai - 400001 Bandra-Kurla Complex, Scrip Code: 542367 Bandra (E), Mumbai - 400051

  2. Slide 2: Investor Presentation Q3 FY20: AI & ML Capabilities

    Xelpmoc Design & Tech Ltd. INVESTOR PRESENTATION 5th February 2020 Q3 FY20 Artificial Intelligence & Machine Learning Capabilities

  3. Slide 3: Table of Contents

    Table of Contents Company Profile 03 Team Strength 04 What we do? 05 How we do it? 06 Approach to building AI & ML Tools 07 Xelp Product: DocuX 08 ‐ 09 Xelp Product: xERP 10 ‐ 11 Concepts in the Making 12 Start‐up Tech Deployment 13 ‐ 17 Value of Portfolio 18 Financial Performance – Q3 FY20 19 Conso

  4. Slide 4: About Xelpmoc Design and Tech

    About Xelpmoc Design and Tech • Incorporated in September 2015, by Sandipan Chattopadhyay, Xelpmoc is engaged in providing professional and technical consulting services with focus on product development, data science and analytics • Caters to e‐commerce, transportation & logistics, recruitment, fin

  5. Slide 5: Team Strength

    Team Strength Sandipan Chattopadhyay Srinivas Koora Jaison Jose MD & Founder CEO CFO & Founder Whole Time Director Ajay Pandey Naushad Vali Suhas Dattatreya Sambit Mukherjee Jagpreet Pabla VP Technology Senior TechAdvisor Senior Technologist VP Data Science VP Data Science Leads & DeliveryTeam 13 04

  6. Slide 6: What we do?

    What we do? Focused on building the next generation of technology in Artificial Intelligence & Machine Learning Space, with a keen interest in Natural Language Processing & Data Analytics. We work with governments, businesses, individuals & startups and help them take advantage of their data as Tech

  7. Slide 7: How we do it?

    How we do it? Understanding intention of what is to be built & problem recognition. Comprehensive study on the data being utilised to recognise statistical patterns Highlight points of data collection, quality & type of data to then derive the Machine Learning Model 6

  8. Slide 8: Approach to building AI & ML Tools

    Approach to building 1 Understanding intention to be built with the systems & applications AI & ML Tools Comprehensive study on the existing system to Learning about the framework, 2 study data being utilised system & processes Highlight points of data collection, quality & type 3 of data Build a pr

  9. Slide 9: Xelp Products

    Xelp Products • An AI engine powered by Natural Language Processing • Uses OCR (Optical Character Recognition) to convert documents into machine readable formats • Initial rules based on existing playbook inputted into the engine, followed by extensive training on contextual matching and reinforced

  10. Slide 10: Intelligent Document Management System

    Intelligent Document Management System ONBOARD DATA CREATE USERS WORKFLOW ONBOARD CLIENTS MULTILEVEL QUALITY BULK ASSIGNMENTS AUTO PULL FROM HIERARCHY EXTRACTION QUEUE SINGLE LEVEL NATURAL LANG. PROCESSING MULTI LEVEL PARSING DASHBOARD STARTEGIC & ANALYTICAL CUSTOMIZE WIDGETS DATA MODEL CREATE YOUR

  11. Slide 11: Xelp Products

    Xelp Products • A state of the art and modular ERP system for restaurants currently being piloted with the largest listed restaurant organization. It is aimed at:  Stakeholders: Identifying, evaluating, informing, and influencing individuals and groups affected by or influencing the project  Busin

  12. Slide 12: What can an ERP do?

    What can an ERP do? Enterprise‐wide integration: Business processes are integrated end to end across departments and business units. For example, a new order automatically initiates a credit check, queries product availability, and updates the distribution and delivery schedule. Real time operations

  13. Slide 13: Concepts in the Making

    Concepts in the Making FAQs to Chatbot Conversational Commerce Experimental concept to turn FAQs of a product or a service to an interactive Chatbot. A chatbot that handles customer queries and learns user preferences to help sell and promote the business through customer interaction and feedback Se

  14. Slide 14: Start Up Tech Deployment

    Start Up Tech Deployment Freight exchange facilitator for the trucking ecosystem in India. AI‐based Personal assistance. Sector: Transportation Sector: Voice Technology 4TIGO is a common technology platform that has something for every Mihup is an artificial intelligence powered mobile assistant for

  15. Slide 15: Start Up Tech Deployment

    Start Up Tech Deployment snaphunt Woovly is a solution offering ‘Networking with Leadstart Publishing is a leading publishing house from India Talent acquisition ‐ engaged and simplified. Reason’ site. It helps a user identify the bucket with a focus on both creative and progressive. The PENCIL list

  16. Slide 16: Start Up Tech Deployment

    Start Up Tech Deployment A digital platform to manage their business directly The Star in me is a Networking, Branding and Guidance India’s first children’s lifestyle website from their smartphone. platform for Women of today. Kids Stop Press (KSP) is India’s first and best Sector: Digital Classifie

  17. Slide 17: Start Up Tech Deployment

    Start Up Tech Deployment Slate has a long term vision to enable SMEs maximize their free cash flows AgeBold is a fitness experience customized for users. Users can avail through real‐time, actionable AI inputs to improve capital efficiency by extracting this health guidance digitally, from the comfo

  18. Slide 18: Start Up Tech Deployment

    Start Up Tech Deployment Traydstream offers fast, comprehensive automated document processing for global Taxitop Media has brought about the next evolution of Digital outdoor trade finance advertising through innovative on‐vehicle advertising. Traydstream digitises Documentary Trade (LCs & Collectio

  19. Slide 19: Value of Portfolio

    Value of Portfolio Xelpmoc's investment (₹) Company name Fair value as at Fair value as at Cost of investment March 31, 2019 Dec 31, 2019 Investments fair valued Fortigo Network Logistic Private Limited 11,112 16,40,35,344 16,52,80,888 Mihup Communication Private Limited 60,80,823 4,36,67,110 4,98,2

  20. Slide 20: Financial Highlights – Q3FY20

    Financial Highlights – Q3FY20 Revenues for Q3FY20 was Rs 21.3 million as compared to Rs 15.1 million in Q2FY20, an increase of 41.0% QoQ EBITDA was Rs (4.0) million as compared to Rs (13.2) million in Q2FY20 Net loss for the quarter was Rs 1.6 million as compared to net loss of Rs 10.9 million in Q2

  21. Slide 21: Consolidated Financials

    Consolidated Financials (₹ in ‘000) Q3'20 Q2'20 QoQ % 9MFY20 FY19 Revenue from Operations 21,316.5 15,112.8 41.0% 48,520.1 60,887.0 EBITDA* (4,010.1) (13,181.9) 69.6% (32,589.3) (49,817.9) % margin NA NA NA NA Add: Other non‐operating income 3,072.5 3,767.4 10,151.2 2,059.7 Add: Share of net profit

  22. Slide 22: Investment Rationale

    Investment Rationale Differentiated technology services Ability to identify unique business Focused on driving value to play with high focus on Data models and partner with the shareholders than a consistent Science, AI and ML entrepreneurs to bring their idea to traditional growth story fruition Ke

  23. Slide 23: Thank you!

    Innovation Thank you! For more information, Please contact: Mr. Srinivas Koora Mr. Diwakar Pingle CFO, Xelpmoc Design & Tech Ltd. Christensen IR P: +91 93239 26889 P: +91 22 4215 0210 E: srinivas@xelpmoc.in E: dpingle@christensenir.com

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