Sapient Shopping Company Slide Share

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Introducing Faramarz Farhoodi Founder and CEO (formerly Amazon, IAC, Auction.com) Re-inventing the Online Shopping Experience Personalized Shopping Technology for Specialty Retail - Powered by Proprietary Artificial Intelligence

Transcript of Sapient Shopping Company Slide Share

Page 1: Sapient Shopping Company Slide Share

Introducing

Faramarz FarhoodiFounder and CEO

(formerly Amazon, IAC, Auction.com)

Re-inventing the Online Shopping ExperiencePersonalized Shopping Technology for Specialty Retail - Powered by Proprietary Artificial Intelligence

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The Opportunity

has won the battle for product search

is the dominant general search engine

is creating the Ultimate Shopping Experience

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WE ARE ENTHUSIASTSFrustrated with the current state of online shopping for our interests

WE MAKE IT PERSONALWe make online shopping personalized, conversational, fun and guided

WE HAVE A CONCIOUS BUSINESS MODELCommitted to promoting sustainability, youth education, and the protection of the environment

WE ARE RESULTS ORIENTEDGoing to market with own marketplace in Action Water Sports to demonstrate the benefits of our technology

CREATING A GAME CHANGING SOLUTIONBuilding an AI engine that will re-invent the online shopping experience for specialty products

WE ARE EXPERTS!We have decades of experience in AI, Ecommerce, consumer retail, and action sports

OurStory

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Why Specialty Products?

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LESS PRICE SENSITIVE

HIGHER MARGINS

GREATER LIFE TIME VALUE (LTV)

ENTHUSIASTIC CONSUMERS

EASILY TARGETED AUDIENCE

USER EXPERIECE ONLINE INFERIOR TO IN-STORE

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The ProblemOn average only 2 out of every 100 web site visits results in a sale

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ImpersonalOnline shopping sites have a cookie-cutter approach to users, are mechanical and lack understanding of people and products

Time ConsumingDespite the larger selection and lower prices, it is too time consuming to research and buy high ticket and specialized products online –on average 5 days

Lack Guidance Poor SearchDirect-nav and search-based discovery getting (even) harder due to increasing product selection

of consumers want a more personalized assisted shopping experience

74%of companies say they don’t understand how to carry out website personalization

72%

The current state is bad for both consumers and online shopping sites

Current site search and recommendation solutions are disjointed, weak and devoid of ‘intelligence’/’understanding’

75%of product searches start online but only 8% of sales occur online

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Starts with a Conversation

OFFLINE SHOPPING ONLINE SHOPPING

Starts with Search

vs.

Where should I start?What factors are relevant?

What are my options?Why is this important?

What are the tradeoffs?

Which companies carry it?Which brands are best?Why should I buy this?

Who in my network has advice?

Who has the best deal?• Price• Return Policy• Warranty• Customer Service

The Consumer’s Dilemma

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+ A sales person finds out what you need - On average 5 days of research

+ Provides personalized advice

+ Helps you make decisions about products

+ Limited selection and higher prices

- Back and forth across multiple sites

+/-Online chat useful but inefficient

+ But larger selection and lower prices

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Re-inventing the Online Shopping Experience

ADVISEMake online shopping conversational –automated personal shopping assistance calibrated to each user

UNIFYCombine the best of in-store and online shopping

HUMANIZEIncrease the intelligence of online shopping tools –augment search and recommendations with human expertise and reasoning

PERSONALIZERelevance is key –personalize everything! Each user must feel like the shopping site was designed for his/her needs

CONNECTSupport Omnichannel shopping – same shopping experience on any device, online, or through call center

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01. Poor Search ResultsAmazon – like other web sites – has no understanding of product types , relationships, or budget, and produces results that do not match users’ intents

02. Driven/Biased by SellersAmazon’s search engine indexes keywords in product titles and descriptions as sent by sellers – has no information beyond these like expertise

03. Literal & MechanicalAmazon’s search engine cannot handle qualitative search requests – no understanding of terms like best, cheapest or budget

04. Unreliable & Time Consuming SearchForces users to sift through reviews to self-educate and then make a choice. Many fake reviews cause time wasting and mislead users

Searching for the Best Regulator for Diving under $700

Results should look similar to this:

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Example of Actual SearchAmazon.com

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01. High Quality Search Results DiveThings.com considers multiple factors based on human expertise to score and sort sellers – not just Keywords

04. Saving Time for ConsumersProduct educational content, Amazon and local pricing and review, expert comparisons, as well as DiveThings.com expert reviews will save time and help consumer in making purchase decisions

03. Natural Language UnderstandingDiveThings.com can intelligently handle qualitative user queries – interactive product concierge replicating in-store shopping in Dev.

02. Unbiased Search ResultsDiveThings.com uses crowd sourced knowledge – from instructors and experienced divers - to match products with user queries – ignores seller keyword packing

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Example of Search using Sapient Shopping’s Semantic Search and Amazon’s Data (used on previous page)

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Our Product Roadmap

Sapient ShoppingAI Engine (SaaS)

Software as a Service Plug-In to boost conversion on

Ecommerce Websites

Beta Release: 2016

Cloud BasedPoint-of-Sale

Market Launch: 2018

Turn Key Marketplace

Platform (SaaS)

SaaS Marketplace Software for 3rd Parties

Market Launch: 2017

Water SportMarketplace

Go-to-Market Strategy (Our own direct-to-

consumer marketplace to showcase our Tech and

generate revenue)

MVP 2016

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Competitive Landscape

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Full Shopping ExperienceSearch, Recommendations, Personalization, Content & Interactive Advice

Full Spectrum AIStrong AI (Semantics) + Machine

Learning

Pure TechnologyE.g. Search or Recommendations Only

Pure Machine Learning

* At Target State – End 2018

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Investment Opportunity

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Exit Strategy: IPO or Acquisition by a Major E-Commerce Company

Bridge funding to Series A

$500kTHE ASK

FUNDING TO DATE$400K – Cash Investment

$400K – Equity funded

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Why Invest in Sapient Shopping?

Novel TechnologyA unique and proprietary combo of Artificial Intelligence and E-Commerce technologies tailored for vertical consumers.

Experienced LeadershipWith a proven track record of innovation and rapid growth in Ecommerce and the target markets.

Solid and DiverseOur revenue generation model is solid and diverse through direct to consumer marketplaces and technology offering to online retailers. This is a real business expected to be EBITDA + in 12 months from market launch.

Growth and Exit OptionsAggressive customer acquisition and revenue targets - to build to IPO or targeting exit through acquisition by a top retailer: Amazon (we already integrate with Amazon.com), Alibaba, eBay, and Google (Shopping) are likely candidates.

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§ Our executive team are passionate about and actively involved in adventure sports and in protecting the environment in which we do those sports

§ Protecting the environment and following a conscious and sustainable business model underpin our path to business success, as highlighted in our corporate social responsibility policy

§ We have a Ph.D. and educator in Environmental Science in our advisory board – formulating specific ecological and education programs that are consistent with our revenue growth and sustainability objectives

§ Dissemination of information about environmental initiatives and agencies, sponsorships of ecological projects –especially for the young - and financial assistance will be central to our strategies for launching direct to consumer marketplaces

§ Examples of planned sponsorships for our water sports business unit include: Reef Check (http://www.reefcheck.org/), Waves for Water (http://www.wavesforwater.org/), Plastic Oceans (http://www.plasticoceans.net/) and One Percent for the Planet (http://onepercentfortheplanet.org/). Each of these organizations carry out incredible work to protect our environment

§ Please refer to our CSR policy for further details

Giving Back is Core to Our Strategy

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Use of Capital

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Engineering• To create the MVP of

core technology platform and launch of our own marketplace for action water sports

Operations• Rental of Office Space • Infrastructure for

Customer Support and Operations

• Hiring of 2 Full-Time Staff

Product & Comparison Content

• Dedicated team of 2 specialists plus consultants to curate and encode manufacturer product data

• Creation of educational animation and videos

Marketing• Social Media Marketing• Search Engine

Optimization (SEO)• Content Development:

Educational / How-To Videos

• Highly Targeted, Limited Search Engine Marketing

• Affiliate Marketing• Business Travel

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§ Faramarz Farhoodi – Founder and CEO: Amazon/Target.com, Motosport (Sequoia company), IAC, Auction.com, Nationstar, Logica (CGI), Perot Systems (Dell), Haley Systems (Oracle)

§ Laird Hamilton – President of surfing: Surfing icon, inventor, entrepreneur§ Michael Eisenberg - EVP Commerce: Disney Direct, Sara Lee, Sears, Musicians Friend, Motosport§ Eldo Cherian - CTO: Infosys, Amazon, Aloha Airlines, Cisco Systems, Auction.com, Coolsoft (our tech partner)§ Paul Lalley – CPO: 2011 Red Dot Design Award, Gruppo Pozzi, Founder of K-Line Adventures § Ollie Graham – GM for Asia Pacific: Morgan Stanley, HSBC§ Rohit Apte – Chief Science Officer: 15 years building trading systems and pricing models, HSBC§ Olivier Brengues – GM for Europe: Entrepreneur (B2B software, ecommerce, mobile apps), investor and advisor

Advisors§ Mario Rosati – Advisor: Partner @ Wilson, Sonsini, Goodrich & Rosati (our law firm)§ Bob Hollis – Advisor: Founder and CEO of American Underwater Products (Steve Jobs of Diving!)§ Sam Solakyan – Advisor: CEO of Global Holdings, Inc. § Drew Lieberman – Advisor: CEO of Glyde, former eBay Executive§ Louis Castle – Advisor: Chairman of Metric Gaming§ Kevin Strawbridge – Advisor: President of Retail, Motorcycle Retail Group§ Michael Andersen – Advisor: Ph.D. in Environmental Science – Associate Professor @ North Texas University§ Jason Kravitz – Advisor: Angel Investor

Executive Team

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SummaryVALUE PROPOSITION: Fastest way for consumers to find and buy products and services

BIG OPPORTUNITYCreating a Category Killer in next generation personalized shopping

EXPERIENCED TEAMMultidisciplinary Mgt. team (market, technology, execution)

INNOVATIVE BUSINESS MODELBoth B2C and B2B revenue opportunity

SCALABLE REVENUE MODEL10% of transactions in our B2C marketplaces & B2B licensing of tech stack

INNOVATIVE TECHNOLOGYProprietary AI creates an in-store personalized shopping experience online

HIGH MARGIN BUSINESSEst. $104M in top line in five years from launch @ 59% margin – no inventory risk

DIVERSIFICATION OPPORTUNITIESIn other enthusiast markets & horizontal Ecommerce

SEEKING 500K POST-SEEDto complete Alpha to MVP and Series A

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Join Us to Create the Future of Online Shopping