Buying a bra online takes a bit of an act of faith; this process becomes increasingly difficult when purchasing sports bras: the sizing, fit, and texture are all highly dependent on several variables that are unique and subjective to each consumer. Jockey wanted to tap into their experience of successfully guiding customers in selecting the best underwear for themselves, but with bras now. This involves multiple data dimensions and could be tricky to navigate through tables and multiple questions.
We built this AI-powered interactive app on our low-code development platform, Interplay®. The flow diagram is shown above. To build this app, we dragged-and-dropped those nodes together, configured each one, and then hit the ‘deploy’ button. Yeah, that quick. Among the nodes used were the following:
To address this challenge, Iterate designed an AI-based natural language FAQ: customers can ask a question in normal conversational English as if they were speaking to a sales clerk in the store. The AI returns a recommended product based on the best fit to address the customer’s question. Note: many common recommendation engines will send the ‘most popular’ or ‘best selling’ product, which is exactly what Jockey wanted to avoid.
To set up this AI-powered FAQ, our team did the following:
Retail, Apparel, Jockey
Eliminate confusion related to bra sizing