Project
AI based Smart Ordering System(SOS) & Machine-learning SW Platform.
Project Summary
Our Smart Ordering System (SOS) supports the interactive-platforms (kiosk) by gathering customers' emotional & behavioral signals that’s quantifiable and measurable. This allows businesses to make data-driven decisions and improve customer service.
Roborus SOS captures facial expressions and vocal sounds to identify customers and understand their current emotions, intentions and state-of-mind. The analytics presented by the EI algorithms predict KPIs that are relevant and suggest marketing solutions.
Businesses can achieve highest rate of advertising return & customer retention by customizing their ‘untact’ marketing tools for effective communication with the targeted audiences.
In short, every customer will be treated like VIPs. They will get tailored service, personalized engagement and consistent quality.
Business Model
Roborus provides Ai machine-learning software to Food & Beverage franchises specifically to solve communication and engagement problems that they were facing with self-serve ordering kiosks.
Our target customers are big franchises with strong brand names, who are searching for innovative ways to improve their business. They include Mcdonalds, Subway, Starbucks, Burger King etc.
We will be charging $7000 per SOS terminal with $100 maintenance & upgrade fees per month. Our sales projection for the next 5 years are:
2018 $550k
2019 $2000k
2020 $9000k
2021 $40000k
2022 $95000k
Marketing Channels will be mainly through local partners in U.S. and exhibitions tours. We plan to expand quickly to different industries like hotels and airports once we capture enough market share in F&B franchise businesses.
Main Achievements
Follow-up Investment: $300K (New Paradigm Investment, '18. 2)
Team size: 8 (as of '18. 1)
Sales and marketing: 2
Software engineering: 3
Hardware design: 1
Robotics: 1
Finance: 1
IP Status: Korea - 8 Patents applied & 1 registered
U.S. - 1 Patent applied
Other Achievements:
Grand Prix at IR Award of K-Startup 2017 by CCEI
Best Startup Award approved by KISED