Case Study: Burlington scales hiring with Paradox

Burlington scales hiring to 2,000 stores with Paradox

Burlington, an off-price retailer with around 1,000 stores, faced a challenge in scaling its hiring process to support a planned national expansion to 2,000 locations. Their existing manual interview scheduling created bottlenecks, requiring multiple steps for store leaders and lacking the flexibility needed for different market nuances. The company partnered with vendor Paradox to find an AI-powered solution that would make their talent acquisition process a business driver rather than a cost center.

The solution implemented was Paradox's AI scheduling platform. This allowed Burlington to automate and streamline their hiring, getting the best candidates through the process more efficiently. Although overall candidate volume decreased, the quality of candidates improved significantly as the system prioritized the most appropriate applicants upfront. This optimization saved leaders time and was transformational for the business, providing a scalable hiring model for future growth.

Burlington