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How A Digitally Native Brand Drives Conversion In Its Physical Stores With RetailNext
Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Retail Store Automation
Services
- Data Science Services
- System Integration
The Challenge
Originally a direct-to-consumer brand, UNTUCKit faced challenges in obtaining comprehensive data for its physical stores. The data points were anecdotal and based on store managers' experiences, lacking baseline metrics to measure traffic and conversion accurately. This made it difficult to verify traffic and conversion rates reported by store managers, who often counted multiple groups of shoppers as one.
About The Customer
UNTUCKit is a men's retail brand founded by Chris Riccobono and Aaron Sanandres. The brand is known for its perfectly fitting untucked shirts that cater to all shapes and sizes. Initially starting as an e-commerce business, UNTUCKit expanded to physical stores due to high customer demand. Since opening its first store in SoHo, New York, in 2015, the brand has grown to 86 stores and plans to expand further. UNTUCKit is a data-driven company that values accurate and actionable insights to drive its business decisions.
The Solution
UNTUCKit implemented the RetailNext platform to address its data challenges. RetailNext offers industry-leading accuracy in traffic data through its Aurora IoT sensor, which detects people ten times each second. The platform provides real-time data accessible via user interfaces and APIs, enabling store associates to make immediate decisions. RetailNext's actionable data allows users to access multiple dashboards for visibility into KPIs, leveraging AI for predicted traffic trends and automatic recommendations. The platform also offers high-resolution recorded video for independent audits and integrates seamlessly with existing systems like POS data and Workforce Management Systems.
Operational Impact
Quantitative Benefit
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