Situation
The client operates in a highly competitive e-commerce landscape, partnering with multiple brands and affiliates to deliver promotions and discounts to customers. Their platform receives numerous offers in different text formats, some are well-structured, while others lack critical details or come in multiple languages. As a result, determining which offers merited attention was a time-consuming task.
Because the volume of incoming offers was so high, the client’s internal teams often struggled to keep up. They spent a lot of time manually reviewing each offer to ensure it met specific standards. Inconsistent formats and missing details led to slow turnaround times, sometimes causing promising opportunities to be delayed or overlooked.
The client’s primary goal was to speed up and improve the accuracy of this process. They wanted an automated system that could parse incoming text, identify key pieces of information, and rank offers based on quality and relevance. By doing so, they hoped to reduce manual work, minimize errors, and free up resources for more strategic tasks.
