Static search left shoppers hunting for trends. An AI assistant now converses to curate personalized outfits in real time.
A UK-based fashion destination for twenty-somethings manages a vast catalog spanning nearly 900 brand partners and its own private labels.
Standard search and browsing tools lacked the interactivity needed to guide customers through rapidly changing fashion trends. The retailer wanted to...
“Without Azure AI prompt flow, we would have been forced to invest in quite significant custom engineering to deliver a solution. Instead, we were able to achieve great speed by easily integrating our existing microservices into the prompt flow solution, and easily publishing to our managed endpoints.”
Online fashion and beauty retailer for young adults.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Complex variables like lighting froze buyers. A GenAI assistant now advises on color and quantity, adding items directly to carts.
Complex queries forced human intervention, slowing sales. AI now resolves intricate questions autonomously to close the sale.
Generic advice limited the assistant to four markets. Now, it handles nuanced style queries across 25 countries.
Manual fixes slowed order processing to 2.5 hours. AI code optimization cut that to 30 minutes and reduced incidents by 50%.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.