Retail sector: AI for data insight

An international property organisation wanted to understand why footfall was declining at one of its UK shopping centres, and which of the interventions it had tried were working (and which weren’t).

Using data.engine we were able to identify key drivers of increased activity, including which advertising campaigns and platforms were most effective. This has led to more focused advertising spend, but perhaps more importantly, a review of the data being collected, and the format and structure of that data to enable future analysis.

data.engine can test every possible correlation within vast datasets and facilitate deeper exploration of queries. Unlike relying on hard-pressed analytical teams who often need to prioritise data analysis based on existing assumptions or hypotheses, data.engine can uncover previously undiscovered insights your analysts can then explore further. The AI also democratises access to complex data through a user-friendly interface, making advanced data analysis accessible to a broader audience.

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