Executive Summary
AM Retail Group, a multi-brand retail operator managing hundreds of apparel stores, needed accurate and tamper-resistant foot traffic data to measure store performance. They implemented SMS Storetraffic’s retail traffic intelligence solution, including 3D people counters, to standardize traffic measurement across locations. As a result, they improved the reliability of reported traffic data and enabled consistent performance evaluation across their store network.
Key results
- Improved accuracy of foot traffic data across hundreds of stores by reducing manipulation and miscounts
- Enabled consistent reporting of traffic metrics used for internal and external business reporting
- Strengthened conversion rate measurement by aligning traffic data with sales performance
- Reduced risk of inflated or deflated store metrics caused by manual or inconsistent counting methods
Customer profile
- Company: AM Retail Group
- Industry: Fashion apparel retail
- Region: North America and international operations
- Store footprint: Hundreds of multi-brand retail locations
- Brands operated: DKNY, Karl Lagerfeld Paris, Wilsons Leather, G.H. Bass & Co, Calvin Klein Performance
What challenge did the customer face?
AM Retail Group needed a reliable way to measure foot traffic across its store network without risk of inaccurate or manipulated data.
Foot traffic is a core metric used to evaluate store performance and calculate conversion rates, making data accuracy critical for both internal decision-making and external reporting.
Why was the previous method insufficient?
Previous traffic measurement methods allowed inconsistencies and potential manipulation, which led to unreliable performance metrics.
When traffic data was inaccurate or missing, store performance appeared artificially inflated or deflated. This made it difficult to compare locations, assess results, and confidently report on business outcomes.
What did SMS Storetraffic implement?
SMS Storetraffic deployed a retail traffic intelligence solution using 3D people counting technology (SCOPE II LC) to standardize traffic measurement across stores.
The solution was selected based on its ability to provide consistent, automated, and tamper-resistant traffic counts, ensuring that all locations were measured using the same methodology.
How was the rollout handled?
The rollout focused on equipping stores with consistent counting technology and integrating traffic data into performance reporting processes.
Store-level traffic data was used as a core input for evaluating conversion rates and store performance, aligning operational metrics across the organization.
What changed after deployment?
After implementing SMS Storetraffic’s solution, AM Retail Group gained more consistent and reliable foot traffic data across its store network.
This improved data quality enabled:
- More accurate reporting of store performance
- Better alignment between traffic and conversion metrics
- Increased confidence in externally reported business data
- Reduced risk of data discrepancies between locations
What can similar retailers learn from this?
Retailers that rely on foot traffic as a performance metric need standardized, tamper-resistant measurement systems to ensure data integrity.
Without accurate traffic data, conversion rates and store comparisons become unreliable. Implementing consistent people counting technology across locations helps create a trustworthy foundation for performance management and reporting.
