Join Appriss Retail at NRF Protect

A Monday night wine crawl in Grapevine, a complimentary Returns Health Assessment at Booth #1316, and a session on stage with Winn-Dixie.

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A Night in Texas Wine Country

Monday, June 8  |  6:30pm – 9:30pm 

Grapevine isn't just a name — it's the heart of the Texas wine industry and one of the most underrated wine destinations in the country. 

You can expect great wine, live music, and a side of Texas you haven't seen before. 

We'll be departing from the Gaylord Texan at 6:30pm and heading to downtown Grapevine (less than a 10 minute drive) for a 3-course dinner with wine pairing at Farina's Wine Bar, followed by a night cap at Cross Timbers Winery (a 3 minute drive). We'll have you back to the Gaylord Texan by 9:45pm. Transportation will be provided. 

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See where your returns exposure stands 

Booth #1316  

Most retailers don't know how much preventable returns loss they're absorbing — until they see it benchmarked against peers. 

At NRF Protect, we're offering complimentary Returns Health Assessments at Booth #1316.  

We'll run your data against pooled benchmarks from 60+ of the top 100 U.S. retailers and show you where your exposure sits relative to peers at a similar scale. 

It takes a few minutes. Most walk away with a specific dollar figure tied to their own data — and a clear sense of where they sit versus peers. 

Catch us on stage

Tuesday, June 9 | 2:45pm - 3:30pm

The grocery proving ground: Shifting total retail loss from traditional EBR into enterprise action

Tim Murfin (VP, Asset Protection & Safety, The Winn-Dixie Company) and Vishal Patel (CPTO, Appriss Retail) show how Total Retail Loss turns exception-based reporting into an enterprise resource — putting high-confidence insights in front of merchants, finance, and operations, with grocery as the proving ground. Attendees leave with a practical framework for repositioning AP data as a strategic investment aligned to the C-suite. 

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Save your spot

A seat Monday night (limited — first come, first served), a look at your returns data, or both.