Meeting with Seena Ganesh

Meeting with Seena Ganesh

Notes from our meeting with Seena Ganesh, formerly VP of E-Commerce Technology at Nike

Notes

• Feedback
  • Search – can be better
  • How we search is super verbose, people are not providing actual information
  • One place where AI could help
  • One way to search for shoes in one way, in another way
  • What exactly is the user thinking about?
  • AirMax, trendy, – both are searching for AirMax
  • Understand the feelings of the people
  • Most time users don’t get what they’re really looking for
  • Ask more clarifying questions – not how much you can do that, they’ll lose interest
  • Can recommend products, in addition to search
• Ask more clarifying questions
  • You give new results – not causing
  • Give results, refine the results
  • Black dress – refining the engine
  • Black velvet dress – ocould be better strapless, etc.
  • Providing search help
  • Give results, help you refine answer questions
• Recommendation is pretty strong – people with similar terms bought AirMax, similar terms, etc.
  • Have to give initial results no matter what!
  • Do something additional to make them
• Multimodality
  • More e-commerce sites will see those patterns – bundling
  • Some people like it, some people will be particular
  • What is the budget, I don’t want the shoes, etc.
  • If you can provide it as an additional function, more aware about fashion
  • May not get immediate results
  • There’s not a lot of interest – traditional bundling might not be the right thing
  • Find me the right fashion outfit for a basketball game, casual outing, picnic
  • Will use it as an auxiliary function just to know what it’s providing
• Search is a very interesting field
  • No patience
  • ChatGPT would provide me as an input
  • Combine with recommendations based on industry and market trends