FLIPPOS.LLC

FLiP revolutionizes restaurant management by leveraging advanced data analytics and AI to provide actionable insights that drive consistency, profitability, and growth.

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In development stage since 2019, FLiP identifies and addresses more than 50 business processes critical to success.  We have designed the point of intelligent sales platform for the industry. FLip sits embedded in a world class enterprise point of sales software. Investment is in both Ip's.  provides an entirely new dimension of intuitiveness, and logic which empower restaurants to make the best decisions possible, faster. 

Solution:
FLiP is more than just another piece of tech for restaurants; it’s a game-changer. While most point-of-sale systems handle one issue at a time—maybe improving order management or boosting customer loyalty—FLiP takes a completely different approach. We’re tackling the entire spectrum of challenges that restaurants face—from unpredictable costs and shrinkage to staffing and customer experience—all at once.

Imagine a restaurant that’s pulling in $2 million a year. With FLiP, that same restaurant could see an extra $660,000 in their pocket, just by running more efficiently and cutting out waste. And the best part? It’s all thanks to the latest in AI, machine learning, and IoT—technologies that aren’t just buzzwords but real tools making a tangible difference in day-to-day operations.

We’re seeking a $3 million investment, which will be used for further development, adding the appropriate staff, and scaling into the market. The restaurant tech market is expected to grow by $8 billion over the next four years, with a CAGR of 18%. FLiP is uniquely positioned to capture a significant share of this market by addressing the critical pain points that existing solutions overlook.

Unlike other POS systems that focus on one aspect, FLiP’s integration of AI, ML, and IoT across all operational areas allows for unprecedented efficiency and cost savings. In the next five years, we envision FLiP becoming the go-to platform for restaurants worldwide, setting new standards for efficiency and profitability in the industry.

This isn’t just an investment in another app or gadget—it’s a chance to be part of something that could redefine an entire industry. I’d love to dive into more details with you and see how we can make this happen together. Let’s turn FLiP into the next big success story.

The platform in which Hospitality operates is ineffective, and provides less than optimal results. 2-5% net, $40.00/day average income, an 80% failure rate in less than 5 years. There should be no more reason needed to understand WHY there needs to be a different approach. Current solutions do not focus on the financial health of a restaurant, they focus on ordering or customer engagement, and seem to target symptoms of a single problem, never really putting it to bay. FliP focuses on the core issues, and multiple aspects of the business. Simply put, our competition is constantly solving issues FLiP has already prevented. 

Our platform integrates AI and data analytics to deliver unmatched, measurable suggestions that enhance decision-making, leading to widespread profitability and operational efficiency.
  • Data-Driven Decisions: FLiP uses real-time data and predictive analytics to optimize inventory, staffing, and customer engagement, ensuring decisions are informed and effective.
  • Comprehensive Integration of outside data: By aggregating data from various sources, including local and global trends, weather patterns, and economic indicators, FLiP provides relevant insights without requiring additional operator experience or manual data gathering.
Real Time and forecasted reporting: Addressing the issue of after-the-fact reporting is crucial for any restaurant management system aiming to provide proactive solutions. FLiP incorporates real-time analytics and predictive tools to enable proactive decision-making.

We Implement real-time reporting features that allow restaurant owners and managers to monitor key metrics as they happen. This includes sales data, inventory levels, and labor costs. With this information at their fingertips, decision-makers can identify potential issues before they escalate.

Predictive Analytics:
We Integrate predictive analytics to forecast trends based on historical data. This can help in anticipating fluctuations in customer demand, optimizing inventory levels, and adjusting staffing requirements. .

Alerts and Notifications:
We utilize  an alert system that notifies management when predefined thresholds are reached or when anomalies are detected. For example, if inventory levels drop below a certain point, or if there's a sudden decline in reservations, the system can send immediate alerts, allowing for quick intervention.

Cost Simulation:
We include  a feature that allows users to simulate changes in menu pricing, staff schedules, or other variables to assess their impact on overall profitability. This proactive approach enables restaurant owners to make informed decisions about potential adjustments before implementing them.

Dynamic Menu Optimization:
Our platform has a  dynamic menu optimization tool that suggests changes based on sales performance, customer feedback, and current trends. This could involve promoting high-margin items or adjusting prices to match demand, ensuring that the menu remains profitable.

Staff Performance Insights:
Provide insights into staff performance, including sales per employee, customer satisfaction scores, and productivity metrics. Identifying underperforming staff or recognizing high performers in real-time allows for timely coaching or acknowledgment, positively impacting the bottom line.

Integration with External Data Sources:
E
xernal data sources, such as weather forecasts or local events calendars. This enables the system to anticipate changes in customer behavior based on external factors, allowing for proactive adjustments in marketing strategies or inventory levels.

Continuous Machine Learning: Implement machine learning algorithms that continuously learn from new data. As the system processes more information over time, it becomes better at predicting future trends and potential areas of concern, offering increasingly accurate insights.


Company:

Jason Lehman Founder/CEO- I am known as a strategist, a make it happen man, a visionary thinker who has realistic expectations of outcomes and finds a way improve on them.  Our team has depth in bringing products to market and the domain, and the product side has 80+ years of experience in the domain. 
Nick Mysore/Founding Partner-Advisor General Management, Strategy, Brand management and Insights experience at multi-national corporations, private equity and venture capital backed companies and start-ups in consumer packaged goods and renewable energy. Has brought multiple companies into billion dollar brands. Thought leader.
Andrew Bourne CTO has brought over 50 SaaS products to market, as an interim CTO for challenging startups. 
Rakumar Palanna -SMC Certified Scrum Master, is regarded as one of the country's most highly esteemed business efficiency consultant.


The Model- 
  • B2B with a Value Added Reseller channel with multiple already contractually signed. Initial focus is QSR/Fast Casual SMB Market in U.S
  • No setup fee
  • Monthly Agreements
  • Software LTV 9216.00
  • CAC LOW 
  • Rev growth 5%/mo.
  • TAM 80B
  • 3 Year contract
  • Days to market <60
  • Trademarks 4
  • IOS Based initially - fork to Android to compete a fast follow to take competitions market without a large cost to the restaurant to migrate. 

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