Investor Presentation March 2017 Disclaimer This document has been - - PowerPoint PPT Presentation
Investor Presentation March 2017 Disclaimer This document has been - - PowerPoint PPT Presentation
Investor Presentation March 2017 Disclaimer This document has been prepared by Dragontail Systems Limited ( DTS ) to provide selected parties with a preliminary understanding of DTS. It is provided on a confidential basis, and may not be
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This document has been prepared by Dragontail Systems Limited (DTS) to provide selected parties with a preliminary understanding of DTS. It is provided on a confidential basis, and may not be reproduced in whole or in part, nor may any of its contents be disclosed to any other person, without DTS’s prior written consent. This document is provided by DTS for general information purposes only, without taking into account any potential investors’ personal objectives, financial situation or needs. It should not be relied upon by the recipient in considering the merits of any particular transaction. It is not an offer to buy or sell, or a solicitation to invest in or refrain from investing in, any securities or other investment product. Nothing in this document constitutes investment, legal, tax, accounting, financial product or other advice. The recipient should consider its own financial situation,
- bjectives and needs, and conduct its own independent investigation and assessment of the contents of this document,
including obtaining investment, legal, tax, accounting and such other advice as it considers necessary or appropriate. This document has been prepared on the basis of publicly available information and certain confidential information. DTS has relied upon and assumed, without independent verification, the accuracy and completeness of all such information, including
- forecasts. It contains selected information and does not purport to be all inclusive or to contain all of the information that may be
relevant to the document. The recipient acknowledges that circumstances may change and that this document may become
- utdated as a result. DTS is under no obligation to update or correct this document. DTS its related bodies corporate and other
affiliates, and their respective directors, employees, consultants and agents make no representation or warranty as to the accuracy, completeness, timeliness or reliability of the contents of this document. To the maximum extent permitted by law, no member of DTS accepts any liability (including, without limitation, any liability arising from fault or negligence on the part of any of them) for any loss whatsoever arising from the use of this document or its contents or otherwise arising in connection with it. Any requests for information in connection with this document should be addressed directly to DTS and to no other party. This document contains forward-looking statements which are identified by words such as "believes", "estimates", "expects', "targets", "intends", "may", "will", "would", "could", or "should" and other similar words that involve risks and uncertainties. These statements are based on an assessment of present economic and operating conditions, and on a number of assumptions regarding future events and actions that, as at the date of this Prospectus, are expected to take place. Such forward-looking statements are not guarantees of future performance and involve known and unknown risks, uncertainties, assumptions and other important factors, many of which are beyond the control of DTS, the Directors and management of DTS. DTS has no intention to update or revise forward-looking statements, or to publish prospective financial information in the future, regardless of whether new information, future events or any other factors affect the information contained in this Prospectus, except where required by
- law. DTS cannot and does not give assurances that the results, performance or achievements expressed or implied in the forward-
looking statements contained in this document will actually occur and investors are cautioned not to place undue reliance on these forward-looking statements.
Disclaimer
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3 Capital Structure ASX Code DTS Market Cap* $52m Share Price [at 3 March 2017] $0.30 Cash-on-Hand [at 31 Dec 2016] $5.8m Ordinary Issued Shares3 173.5m Performance Shares1 25m Incentive Options2 1.5m Top 20 Holdings 74.4%
Corporate Snapshot
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Dragontail share price performance since listing
* To 24 February, 2017. Source: Google Finance
Board of Directors
- Paul Steele (NED Chairman)
– Senior executive based in Melbourne with experience in software technology, management consulting and not for profit and healthcare organizations.
- Ido Levanon (CEO)
– over 20 years experience in CEO and turnaround management roles of various international companies. MBA San Diego University (1989, Magna cum laude), B.Sc. Maths & Computer Science Tel Aviv University (1986, Dean’s List).
- Adam Sierakowski (NED) – Over 20 experience in corporate law
and advisory services both in Australia and internationally and has vast experience as both chairman and director of multiple ASX listed entities.
- Yehuda Shamai (NED) – has established and managed large
Israeli entities with international brands such as Pizza Hut, KFC and Domino’s. He has vast knowledge in management software tools and ePayments technology.
- Ron Zuckerman (NED) – Has been an active tech entrepreneur for
nearly 25 years. He was one of the founders of Sapiens International, a software company he took public on the NASDAQ in 1990 and which is currently trading with a market cap of over US$700m.
- 1. Issued on achieving annual earnings of $US5.5m by end of 2019
2. Options exercise price of $0.25 and expiring 31 Dec 2018. 3. Approximately 115,000,000 shares escrow for at least 12 months
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The Algo technology completely revolutionises restaurant operations and management in the Fast Food/QSR industry.
The food preparation, delivery, marketing operations and Customer Relationship Management (“CRM”) are integrated into a single GPS-based algorithm and management software, which
- ptimises, manages and controls the entire operations chain - completely streamlining the
entire process. The Algo dispatching system starts the optimisation process before the orders are even shown to the cook for preparation. It chooses the best sequence so orders are grouped at the kitchen in the most optimal way and all orders are prepared just in time for the driver to pick up. It takes into consideration many key factors in order to achieve this, such as driver availability,
- rder time, number of items in the order, hour of the day, planned staffing and weather.
The Algo – How it works
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Dispatch Station Kitchen Station Driver Unit Customer Tracking
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The Algo can be integrated with any POS (Point of Sale) system. The only additional hardware needed are driver mobile units which are provided with the system. The Algo system uses a proxy server outside the store that handles all the communication between the drivers, the store, the customers (who can track the order and driver status), and management (that can review online reports and alerts).
The Algo (continued)
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Our second product is a unique and innovative quality control camera and additional wireless sensors that ensures our QSR (Quick Service Restaurant) customers produce the best food and the end-consumer receives their exact order.
Camera Cut Station Unit (CCSU)
- A revolutionary marketing and operations tool
- Takes a picture of the pizza when it comes out
- f the oven and sends it to the end consumer
- Checks the temperature of the pizza and if
correct toppings have been added
- Checks the quality of the pizza ingredients (the
crust and the cheese)
- Has wireless sensors in place that constantly
monitor the temperatures of the restaurant fridge and oven
- Uses the most advanced machine learning
technology where the system keeps improving its diagnostics over time, and a texture synthesize mechanism to ensure the product image sent to the customer will always look great
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- Presents the next dish to be prepared by
the chef
- Intelligent synchronisation tool between
parallel Kitchens
- Automatically makes sure all meal
components (entree, main course, dessert) are ready at the perfect time to be served to customer
Smart KDS
Our third product is an version of the Algo dedicated to the optimization of kitchens and non delivery restaurants
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- Successfully listing on the ASX with a $6m IPO (December 2016)
- Strategic alliance with AT&T (December 2016)
- Launches world’s first quality control camera and sensor system for the pizza
industry (December 2016)
- Commercial roll out of Pizza Hut stores in Quebec commenced (January 2017)
- Official strong endorsement form YUM Canada management to all franchisees
listing all the great benefits of the system after a year of operation.
- Agreement with Revel Systems, leading POS (Point of Sale) provider (January
2017)
- Gaining strong traction across QSR industry with growing new installations and
sticky revenues since listing, in existing and new markets
- Maintaining first mover advantage as the only system in the world that fully
automates kitchen optimisation, flow, despatch and delivery.
Commercial Updates
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While the roll out of the Algo in the QSR sector is a continuing the application of this unique automated optimizer can benefit many other sectors:
- The Algo system can be utilized in a number of sectors other than QSR such as:
̶ Hotel room service ̶ Airline catering ̶ Supermarket deliveries ̶ Same day couriers ̶ Technicians despatch
Algo more than just QSR
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1QCY17
2QCY17 3QCY17
Milestones
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- Complete roll-out
- f Algo to all
major customer Corporate Stores in Canada
- Sign First customer
in Australia
- First commercial
implementation
- f CCSU
4QCY17
- Start
implementation
- f Algo to major
customer franchisees in the USA
- Sign first customer
in Asia
- Start
implementation
- f Algo in non
QSR sector
- Start
implementation
- f Algo to major
customer franchisees in Canada
- First monthly
revenues >US$25/mth
- Achieve over 150
installations
- Achieve over 225
installations
- Achieve monthly
revenues
- f>US$60k/mth
- Algo operating in
more than 6 countries and pipeline of more than 1,000 stores
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The Algo Dispatching System is sold via three methods:
Marketing strategy
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Partnerships with leading POS (Point of Sale) companies we integrate with. (By partnering, Dragontail gets access to the POS customers and the POS company can offer enhanced capabilities and get revenue from shared customers) Direct sales to key large QSR customers Partnership with leading players such as AT&T, (Using its existing salesforce and connections to reach
- ut to more potential
customers)
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Commercial model
The business model for the Algo Dispatching & QA Camera and Sensors Systems are composed of two components: Monthly Service & Support fee
- Mitigating customer concern
about high costs and confirming ongoing income to Dragontail
Initial fee
- Setup fee including integration
with existing QSR POS system
- Training for QSR IT group to
implement at stores
- Help with first store’s installation
and training
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- The Algo has already been commercially deployed in Pizza Hut stores in Israel, Canada and
USA with significant immediate operational improvements for the restaurants and increased customer satisfaction for end users.
- Anticipated strong demand for near term roll-out across a large number of Pizza Hut stores in
these countries and also other priority countries.
- Dragontail is in various stages of discussion and implementation with other QSR franchises and
not just restricted to pizza (including an international chicken franchise, international burger franchise, international noodle franchise, international Mexican franchise and more).
Revenue case study: Algo Pipeline
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XXX XX XX
Brand Country Estimated Stores Algo Installation Algo Price / month QA camera & sensors installation QA camera & sensors installation price / month Pizza Hut Canada 300+ 1 $1,000 $170 $2,000 $30 Pizza Hut USA 7,000+ 1 $1,000 $170 $2,000 $30 Yum Brands World 43,500 3 $1,000 $170 $2,000 $30 QSR USA 200,000+ 4 $1,000 $170 $2,000 $30 Total 250,800 All prices $USD
1 https://www.pizzahut.ca/#!/page/6 2 http://www.statista.com/statistics/256828/pizza-hut-restaurants-worldwide/ 3 https://www.yum.com. 4 https://www.ibisworld.com Aug 2016
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Operations case study: Pizza Hut Israel
XXX XXX XX
First pilot store – Dec 2013 Rollout to corporate stores – commenced Feb 2014 Rollout to franchisees – commenced Jan 2015 Algo stores experienced a
reduction in labour cost (as % of
sales) Algo stores experienced
same store sales increase, mainly
due to an increase in repeat customers orders.
2.8% 9.8%
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100%
Increase in on-time deliveries Increase in repeat customers
20%
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Competitive analysis
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Delivery Command Foodora Uber Eats The Algo Driver tracking ✔ ✔ ✔ ✔ Customer tracking ✔ ✗ ✔ ✔ Fully automated dispatching decisions ✗ ✗ ✗ ✔ Fully automated kitchen flow ✗ ✗ ✗ ✔ Meals always arriving hot and fresh ✗ ✗ ✗ ✔ Reduced labour costs ✗ ✗ ✗ ✔ Single software system ✗ ✗ ✗ ✔
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Investment highlights
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5. 4. 6. 2. 1. 3.
Unique, first-mover technology
The Algo is the only system in the world that fully automates the kitchen flow, the driver dispatch and delivery process. Current technologies only focus on driver dispatch and tracking.
Significant competitive advantage
The Algo is a unique, patent pending system that uses a very sophisticated algorithm and years
- f on-site operation experience
that creates high barriers for entry for potential Dragontail competitors.
Established and growing revenue base and commercial pipeline
The Algo is already installed in Israel, Canada and the US and generating revenue from monthly licensing fees. Further growth in existing and new markets is expected.
Strong validation from leading QSRs
Our QSR customers are reporting additional monthly revenues of ~10% and monthly labour cost savings of ~3%, while also reporting significant improvements in customer satisfaction and a reduction in customer complaints.
Significant market opportunity
Fast food/QSR/delivery market size
- f over $400 billion globally with
- ver $250 billion in North America
- alone. Potential to expand into
additional markets such as supermarket deliveries, airline/other catering, and non- food same day deliveries.
High-calibre management team
Management have significant expertise across technology, systems management and business development.
Products Videos
The Story of Marry and Jamie (Algo 101)
http://www.dragontailsystems.com/algo101
The Algo Dispatching System
http://www.dragontailsystems.com/watch-a-video
The Camera Unit
http://www.dragontailsystems.com/ccsu
Contact
Ido Levanon Chief Executive Officer BSR1 Tower Ben Gurion 2, Ramat Gan, Israel T: +972546567661 E: www.dragontailsystems.com