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Retail in-store Analytics with Asset Protection Video Security
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About

RetailNext has partnered with global retail brands to help them measure store performance, identify opportunities for growth, implement strategies that drive results, increase capital savings, and boost bottom-line sales. Robust and scalable, the patented RetailNext platform uses best-in-class video analytics, Wi-Fi detection of mobile devices (including Bluetooth), data from point-of-sale systems, and other sources to inform retailers about how customers engage with their stores.
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Why RetailNext?

Add RetailNext to your portfolio of data analytics solutions specifically geared to Retailers. We have three partnerships models to choose from. As a Reseller, provide a high profit recurring revenue solution to your existing portfolio of Hardware and software. We provide generous discounted partner pricing and attractive margins. Provide incremental revenue on consulting and professional services. Technology Partners include in-store analytics providers, smart building solutions, staff scheduling apps and more. With our open API, integrate to countless solutions and apps. Referral partners receive a commission fee on deals closed. You bring us the lead and we will do all the rest.

RetailNext customer persona

Top segments by size (# employees)
B2C
Micro
0 employees
SOHO
1 – 4 employees
Small SMBs
5 – 9 employees
Medium SMBs
10 – 49 employees
Large SMBs
50 – 249 employees
Corporate
249 – 999 employees
Enterprise
999+ employees
Top segments by vertical
Retail
Technology
Commercial real estate (smart buildings)
Segment 4
Segment 5
Segment 6
Not targeted customer segment
Secondary customer segment
Sweet spot

Needs

  • Optimize the shopper experience in stores with e-commerce style retail analytics.
  • Act on predictive analytics and insights for prescriptive remedies in traffic, merchandising and full-shopper journey.
  • Reduce Theft:A video management system that saves time and reduce costs to investigate and reduce shrink.

Wants

  • Increase Sales: Correlate traffic data to Sales metrics such as conversion, average transaction value, shopper yield and more.
  • Optimize staffing by understanding when peak traffic occurs in during the day and during the week.
  • Comprehensive view of shopper behavior helping brands solve complex challenges in their stores by measuring the entire shopping journey of every shopper that enters the store from the moment they enter until the moment they leave.

Pain points

  • How are each of my store performing with relation to traffic and sales converted. How do I staff appropriately to address peaks in traffic?
  • How do I maximize the merchandising and layout of stores yielding the optimal customer experience. Who are my customers and how are they navigating the physical layout of the store?
  • High costs of shrink and loss prevention are difficult without a unified system tying all my cameras (including legacy hardware) to one video management system.
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