Case Studies How A Digitally Native Brand Drives Conversion In Its Physical Stores With RetailNext

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	How A Digitally Native Brand Drives Conversion In Its Physical Stores With RetailNext

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	UNTUCKit established accurate baseline metrics for traffic, helping to identify and forecast peak periods. This allowed store managers to plan tasks during off-peak hours and optimize staff schedules.
Impact #2	The platform provided recommendations on staffing, enabling UNTUCKit to add or remove staff based on traffic data, thus maintaining stable conversion rates.
Impact #3	UNTUCKit adjusted store hours based on traffic data, extending hours in some locations to capture late sales and reducing labor hours in others to realize cost savings.

Impact #1

UNTUCKit established accurate baseline metrics for traffic, helping to identify and forecast peak periods. This allowed store managers to plan tasks during off-peak hours and optimize staff schedules.

Impact #2

The platform provided recommendations on staffing, enabling UNTUCKit to add or remove staff based on traffic data, thus maintaining stable conversion rates.

Impact #3

UNTUCKit adjusted store hours based on traffic data, extending hours in some locations to capture late sales and reducing labor hours in others to realize cost savings.

Benefit #1	UNTUCKit opened 86 stores since its first brick-and-mortar location in 2015.
Benefit #2	The RetailNext platform detects people ten times each second for maximum tracking accuracy.
Benefit #3	UNTUCKit realized significant cost savings by adjusting labor hours based on traffic data.

Benefit #1

UNTUCKit opened 86 stores since its first brick-and-mortar location in 2015.

Benefit #2

The RetailNext platform detects people ten times each second for maximum tracking accuracy.

Benefit #3

UNTUCKit realized significant cost savings by adjusting labor hours based on traffic data.

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Overview

How A Digitally Native Brand Drives Conversion In Its Physical Stores With RetailNext

Operational Impact

Quantitative Benefit