Implement a data collection system (body shape, age, gender) to deliver personalized fashion recommendations, enhancing user trust and retention.
solution:
about the project
be it the wishlisting app or a precise ai fashion assistant app, ask alle was a constant. ask alle is an ai chatbot which used NLP to give results based on your saved body type info (saved links/images earlier), a conversational bot with many related actions. some key pain points which resulted as the interface was not particular to ai chatbot and fashion.
why solve this?
drop offs at idea feed
drop offs without saving results
low number of follow up questions
driving initial adoption
how to solve this?
show infinite visual feed upfront - to max accuracy of finding right ideas & increasing save frequency
distinct visual results for each suggestion by alle
communicate different use cases of ask alle (we are solving for max first time users)
make users use the most of nlp
what other problems arise?
(hover to read more)
navigation between questions
solving for infinite chat within a chat interface
space optimisation to show 8-9 touch points
solving for latency
example problem shown here:
the final solution consisted of:
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