Request for research: Identifying purchasing behaviour

December 7th, 2009

Can someone please build a framework for store assistants to be able to quickly diagnose a customers intent?

Things like:

  • Customer entered the store casually wandered around equates to casual shopping.
  • Customer walked directly to a specific section and is browsing.
  • Customer has one hand in pocket, or clasping handbag

I don’t know the specifics but a model so that store assistants can recognise the behaviour for a certain outcome then adjust their service accordingly. A win/win for both parties.

Wouldn’t be too hard, grab some security footage for a day, monitor what happens, classify users into purchasing behaviours, link to commonalities.  Test again with new footage.

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