Sales forecasting

How can I optimise resourcing?

What can my team do to improve sales?

How can we use data to stay ahead of the curve?

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Increase visibility over sales potential with location insights

New ways to estimate demand

Tap into new opportunities and estimate the demand for specific products or services in different areas with foot traffic patterns and customer behaviour insights.

Stay ahead of economic trends

Identify potential risk factors that could impact property performance or market demand by overlaying mobility data with relevant economic indicators such as GDP growth, unemployment rates, or consumer sentiment.

Optimise staffing and resourcing

Optimise staffing schedules to ensure adequate customer service during high-demand periods with catered foot traffic trends.

Identify methods to increase sales

Leverage trends to understand the levers that need to be pulled to increase sales and beat out the competition.

Maximise campaign impact

Create campaigns that coincide with peak visit times for maximum reach and engagement.

Empower predictive modelling

Leverage predictive models on historical mobility data to forecast changes in foot traffic and customer behaviour for proactive risk management.

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Annual sales

This data enables us to gain insight into a crucial aspect of our business that would otherwise not be possible. Using it enables us to anticipate demand and create more robust planning

Reuben Ayley, Head of Food Service Finance (International)

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