Combining machine learning, variable population density, historical sales data, and weather forecasts to predict future sales in hospitality and retail.

Achievements

Team
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Prototype
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Users
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Partners
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Revenue
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Investors
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What we offer

Sales forecasting, advertising ROI, employee productivity analysis, daily sales optimization.

Target group

Hospitality and retail businesses from single venues to large enterprises.

Challenges

Gain funding to reach a global market.

Our Story

While working as a systems administrator, for a new restaurant franchise in New Zealand, I discovered the best metrics for predicting future sales revenue were variable population density, based on hotel/Airbnb occupancy rates, combined with historical sales data, and weather forecast models. Using statistical analysis I ran regression models to find the correlation, from there I set out to automate the system and build on the model.

Headquarters