Retail Case Studies & Customer Stories | RetailNext
WHY RETAILNEXT
Customer Stories
600+ retailers across 100+ countries trust RetailNext to power their most critical in-store decisions. From global luxury brands to regional specialty chains, our customers don't just implement technology — they achieve measurable outcomes. Better conversion rates. Smarter labor scheduling. Stronger loss prevention. Store designs that actually work for shoppers.
These are their stories.
Trusted by 600+ Retailers in 100+ Countries
Real Retailers. REAL RESULTS.
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Shopper yield increase
Boggi Milano
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Additional sales in 7 months
The Vitamin Shoppe
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Conversion rate improvement
Camper
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Locations with improved forecasting accuracy
Dave & Busters
Balsam Brands
Balsam Brands, a digitally native retailer known for Balsam Hill artificial Christmas trees, is expanding into immersive physical retail.
**Challenge:**As a digitally native brand entering physical retail with no traffic benchmarks, Balsam Brands needed real-time data to validate store performance, understand the shopper journey, and staff efficiently.
**Solution:**Balsam Brands launched its stores with RetailNext Traffic Analytics from day one, using passby and entry data to test merchandising, align labor with demand, and measure marketing impact.
**Results:**Merchandising tests lifted entry rates 8-10% year over year and traffic-based scheduling cut labor costs 31%, while traffic data helped invalidate ineffective marketing and redirect spend.](/content/resources/case-studies/balsam-brands-building-brick-and-mortar-with-data-from-day-one?hsLang=en/index.html)
Dave & Buster's
Dave & Buster's is America's premier entertainment-dining chain, pairing restaurant food with arcades across 177 large U.S. venues.
**Challenge:**Manual counting and arcade card swipes left Dave & Buster's without accurate foot-traffic visibility, hampering labor optimization, guest segmentation, layout decisions, and forecasting.
**Solution:**Dave & Buster's deployed RetailNext Traffic Analytics across all 177 stores, sensing every entrance and feeding real-time visitor, occupancy, and flow data to dashboards, mobile apps, and BI tools.
**Results:**Managers gained instant phone-based occupancy visibility, fed true foot-traffic data into staffing and AI/ML forecasting, and enabled benchmarking and best-practice sharing across all stores.](/content/resources/case-studies/case-study-dave-and-busters-2025?hsLang=en/index.html)
Boggi Milano
Boggi Milano is an Italian menswear brand with 235 stores across 61+ countries, built on innovation, sustainability, and high-quality materials.
**Challenge:**Since 2018, Boggi Milano couldn't streamline labor, identify high-traffic low-conversion stores, or track shoppers handled per labor hour, so it sought an analytics partner.
**Solution:**Boggi Milano partnered with RetailNext, using its Aurora® IoT sensor and predictive traffic model to analyze visit duration and shoppers-per-labor-hour store by store, setting the right staffing for each location.
**Results:**By fine-tuning labor allocation, Boggi Milano cut headcount 15% since 2018 while growing shopper yield ~40%, conversion ~5 points, and average ticket ~15%.](/content/resources/case-studies/case-study-boggi-milano-2025?hsLang=en/index.html)
Sharaf DG
Since 2005, Sharaf DG has grown into a leading multi-brand electronics retailer with 30 stores across four Middle Eastern countries.
**Challenge:**Sharaf DG wanted to precisely measure each brandbox's performance but, after two years with competing vendors, was dissatisfied with inaccurate traffic counts, conversion rates, and shopper-journey insights.
**Solution:**Sharaf DG selected RetailNext for its accuracy and staff-exclusion capability, deploying Traffic and shopper-journey analytics via Aurora® sensors, piped into its BI environment alongside stock, demand, and staffing data.
**Results:**Accurate, layered data gave Sharaf DG a reliable full-funnel view of shopper, product, and staff interactions, providing the foundation to optimize brand performance and build data-driven partner programs.](/content/resources/case-studies/case-study-sharaf-dg-retailnext-2023?hsLang=en/index.html)
Every outcome starts here.
The RetailNext Intelligence Platform gives retailers the data, tools, and insight to make smarter decisions — in every store, every day.
[**Traffic Analytics**
Accurate people counting and conversion measurement — the foundation of every in-store performance decision.
Explore Traffic Analytics →](/content/platform/traffic-analytics?hsLang=en/index.html)
[**Insights**
Deep shopper behavior analytics — understand the full customer journey and optimize every inch of your store.
Explore Insights →](/content/platform/insights?hsLang=en/index.html)
[**Asset Protection**
Reduce shrink and protect revenue — real-time loss prevention intelligence powered by the same sensor network.
Explore Asset Protection →](/content/platform/asset-protection?hsLang=en/index.html)
Traffic counting has long been considered an ancillary metric at The Container Store due to its unreliability, however, through our partnership with RetailNext it has become a critical metric for labor planning and understanding our true customer conversion.
MATT EVANS
Senior Director of Business Insights and Analytics
As we continue to invest in data-driven decision making, having visibility into the in-store customer shopping journey is critical. RetailNext has been a great partner to us, and we believe this level of insight is key to beginning in understanding traffic and shopping patterns in our locations.
MARC MASTRONARDI
Chief Store Officer
RetailNext has helped evolve how we think about our stores at Calvin Klein and we think of them as an extension of our own team. Their robust shopper journey data gives our analytics team a much clearer view into what is happening in our stores, giving us e-commerce style analytics across store layout, marketing, product assortment, and more.
DARREN BOWDEN
Vice President, Retail Operations
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