Predictive Analytics for EPOS Platforms| Drive Transactional Revenue
How does TUBR add value to your EPOS Platform?
How does TUBR add value to your EPOS Platform?
Now you can add highly accurate predictive analytics to your EPOS platform adding value to your customers and differentiating your offering without having to develop and implement it yourself.
TUBR’s unique and proprietary technology, our physics-based methodology, significantly improves the accuracy of predictions of key metrics such as:
This enables management to consistently anticipate changing trends in demand and adjust key levers such as bookings, stock, staffing and promotions to drive revenue and prevent wastage.
One quick service restaurant chain utilised our technology to optimise bookings which enabled them to realise a 7% increase in bookings during quiet times driving additional revenue.
We’re your tech partner who is easy to work with, understands your requirements and can offer a virtually ‘out of the box’ experience, so we can integrate quickly, simply and seamlessly within days or weeks not months.
What does this mean to you?
Our proposition provides an upsell/cross sell opportunity improving your recurring subscription revenue.
We provide something new, exciting and innovative for you to promote to engage new customers and retain existing ones.
“We’ve achieved accuracy in predicting product sales per hour in quick service restaurants in excess of 83% accuracy”
CEO of a leading EPOS Platform
“With TUBR’s predictions we were able to optimise our bookings to drive a 7% increase in booking during quieter periods leading to an £11,000 increase in monthly revenue”
Owner of a small group of quick service restaurants
Statistical Machine Learning typically requires large amounts of data to identify patterns that have occurred in the past in order to understand when the same trends are going to occur again, this doesn’t take into account ‘real-world’ events or behaviours which could affect the reoccurrence of the trend.
Assumes available data to be the only variables to represent what is happening in an area. Data quantity and quality will have a disproportional impact of the quality of predictions.
Does not account for chaos in an area, this effectively prevents accuracy being achieved.
Requires the full and complete data to make accurate predictions, this is often unavailable or not timely enough to provide the granularity customers demand.
Physics-based methodologies uses information about the dynamics of the area in which it’s predicting to inform the model as to what’s happening enabling the machine learning to identify a changing trend even before it’s been seen, enabling timely and informed operational decisions to be made.
TUBR understands all the elements that occur in an area and brings understanding from the available data, enabling correlation/causation patterns to be identified and tie those to impact factors.
Accounts for chaos in an area by understanding what the chaos means on the remaining datasets, an example could be a missing days data due to say a bank holiday closure.
Accepts sparse or partial inputs so the data you have is enough to still create prediction feeds that are meaningful and useful.
Our advanced algorithm is accurate with complete or incomplete data
No “in-house” manual data crunching or data science capabilities is required
In less than 21 days you can get your highly accurate predictions and insights
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How does TUBR add value to your EPOS Platform?