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What is Arrive.by? §  Arrive.by solves the problem of not knowing when a delivery

or service provider is going to arrive. §  It uses a scalable cloud-based solution that tracks and

predicts the arrival time of a vehicle, delivery or person to a location, with up to 95% accuracy and a 2 minute window.

§  Notifications can be sent to keep people updated as to the arrival time, eliminating the anxiety and hassle associated with not knowing when something or someone will arrive.

§  Any GPS enabled device can be used - phone, tablet or black box GPS unit.

§  The application of this technology works in both the B2B and B2C customer segments.

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People hate waiting §  Time spent waiting can be lost time §  People want to better manage this “idle” time §  In the UK, the average person waits 2 years §  CNN Money report estimated $38B wasted in US

in 2011 “waiting” §  This applies to transit, deliveries, people…

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Limited arrival visibility §  No updates on arrival - where is it? §  Limited and inaccurate arrival estimations §  Often only AM/PM timeslot options given §  People want to track progress

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Business suffers too… §  People not home §  Signature required or expensive goods §  Redelivery is costly:

§  La Poste up to 3 times §  AUSPost won’t do it §  Laminex redelivers 5-7%

§  Manual processes to book, schedule, route §  What makes for a good customer experience?

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This will help…

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Solution 1/2 §  Real time tracking of a “job” §  Arrival prediction

§  2 minute window for fixed route §  20-30 minutes for variable route 8 hours in advance

§  Historical data §  Can be used to enhance arrival predictions

§  Automated alert notifications §  SMS, Email, Tweet, Web §  Automated telephone* §  When to leave “here” to get “home”*

*next iteration

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Solution 2/2 §  Routing

§  Shortest or fastest routes §  Traffic, traffic lights, stop signs*

§  Scheduling §  Basic based on time slots §  Optimised for capacity and time window*

§  Optimisation* §  Location of nearest asset at time in future §  Over/under utilised resources §  Manage risk in completing current work

*next iteration

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Market §  Applies to any situation where

there is a “wait”; §  And company or organisation

wants to provide more clarity around delivery or arrival

§  Main verticals: §  Ecommerce, 3PL §  Trades/Repair/Service §  Food §  Medical/Pharma §  Scheduling/Routing

§  TAM in 2015 (est): $50B §  SAM = $2.5B §  Target market = $250M

§  Country focus: §  AU/NZ, SG, CN, US, UK, CA, IN, BR §  Other SE Asian, European,

Americas

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Medical Food 3PL/Courier Trades Scheduling

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Competitors §  Near identical space:

§  Arrival-control (single journey, C2C focus) §  TOA Technologies (field service management) §  3PL/Logistic companies (proprietary systems)

§  In a similar space: §  Glympse (shared single journey) §  Routific (route calculation)

§  Others: §  Google, Apple (geocoding, basic traffic, single journey) §  Inrix (traffic data analysis - Arrive.by can use this)

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Competitor Matrix

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Real Time Tracking X X X X X

Arrival Prediction X X

Multiple Journey Concept X X X

Historical Data Feedback X X X X

Vehicle Routing X X X X GOOGLE X X

Job Scheduling Optimisation X X X X

Customer Notification X X X X X

Traffic Prediction Analysis X INRIX

API/3rd Party Integration X X X X X

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The Team Dave Hepworth - Managing Director

§  Defence, Transport, State Govt, Telecoms §  CMU MSIT

Cyrus Allen - Advisor §  Strativity, Telstra, ANZ, Ericsson

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To Date Trials §  2011 - ACC Adelaide City Council 2 buses, 2 minute, 95% accuracy, fixed routes

§  2012 - ATS Access Television Services 2 vehicles, tech service, variable routes

Commercial §  2012: ACC §  2012/13: Adelaide

Festival Fringe Tour of the Unexpected, variable timings, 2 buses

§  2014: Your Pantry Multiple vehicles, routing and messages

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Finance Pricing §  $1 basic prediction and notification §  $3-5 premium, dependent on value of service §  $20/mo for routing/scheduling §  $10/mo detailed business intelligence

Cost to serve (cost per unit scale) §  Raw “job” cost ≈ $0.03/job §  SMS from 2c to 10c (global)

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Fund Allocation §  Offering $500k for 20% §  Business Development

§  AU and US markets (ASAP) §  Prospective in US - EducationSupply.com §  Prospective in SG - Reebonz.sg

§  Product Development §  Increase prediction accuracy §  Add extra functionality beyond prototype §  Aim for 10 minute window, 8 hours in advance

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Exits §  Trade sale

§  Sell to logistics, ecommerce, other

§  Global presence §  Grow base into AU, US, SG, JP and UK

§  Acquhire §  Buy the company, buy the talent

§  Series A share buy out §  Buy out some early stage investors

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investor Deck | OCT 2014