Retail Solution: Automated Shelf Compliance
Background
Planograms and promotional display models show where products should be placed for maximum sales; however, verifying that products on shelves match planograms is a very time-consuming process, and thus, is not performed frequently.
Solution
Taking humans out of the process, automated shelf compliance solutions use the latest digital image recognition technology to ensure product placement on store shelves complies with planogram models. At the same time, retailers can increase revenue by reducing lost sales due to out-of-stock items.
Benefits
- Automate planogram and promotional display monitoring
- Generate timely compliance reports
- Identify new products or shelf configuration changes
Automated Shelf Compliance: In-depth
Intelligent shelf compliance minimizes inventory distortion
How do you make sure all your packaged goods are available on shelves and in the right locations? Planogram and promotional display models show where products should be placed for maximum sales, but verifying that products on shelves match planograms is a very laborious, time-consuming, and expensive process, and, consequently, is not performed frequently.
Automating this task, the shelf compliance solution harnesses the latest digital image recognition technology to ensure product placement on store shelves fits planogram models. The solution enables retailers to minimize inventory distortion, defined as the absolute value of the sum of out-of-stocks and overstocks, which ultimately increases sales revenue by reducing lost sales (out-of-stock) and minimizing seasonal discounting (overstocks).
Selected Offerings
Platform Components
Platform Technologies
Retail Software Solutions
Solutions by Device and Service
Digital Signage
Deliver a better shopping experience
POS
Personalize the point of sale
Kiosk
Attract customers and promote sales
Vending
Modern, intelligent vending systems
Retail Ecosystem
A secure platform powering a range of smart solutions
Responsive Retail
Adapt to changing customer preferences
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