Data's role in planograms:
how visual intelligence improves the performance of planograms

The originally created planograms for manufacturing companies have now been adapted for use in many other industries, including retail and hospitality, and when used correctly, they have a big impact on a company's financial well-being. According to a Shopper Technology Institute report, adherence to planograms increases retail profits by 8.1%.
Technology plays an important role in planogram compliance because it allows businesses to accurately track and manage product placement in their stores. Using visual analysis tools, companies can create detailed planograms. Today's tools also help make it easy to track and update their planograms, ensuring they meet company guidelines and standards. In addition, technology can be used to efficiently add new SKUs to planograms, ensuring they are properly placed and accounted for in the overall product layout. Overall, using artificial intelligence and object recognition in planogram management can help businesses maximize return on investment by optimizing product placement and the planogram management process.

Using planograms in visual merchandising

While helping decision makers create a cohesive and visually appealing outlet environment that will attract customers and make it easier for them to navigate the stores, planograms can also be used to identify opportunities to improve store layout and display and make informed decisions about space and resource allocation.

Here are a few examples of how planograms can be used in visual merchandising:

  • Displaying products by category
  • Highlighting new products
  • Creating attractive product displays
  • Maximum utilization of space
  • Promoting sales and cross merchandising
  • Attracting impulse buyers

The best way to improve planogram compliance

Using image recognition for planograms

Retail solutions based on image recognition have changed the way retailers enforce planograms. Retailers can more accurately and efficiently track product placement on shelves in their stores. Instead of relying on time-consuming and error-prone manual processes, retailers can use digital technology to track shelf placement and get information about each shelf in each store.

Artificial Intelligence-based image recognition allows retailers to view photos of store shelves in real time, allowing them to better understand planogram alignment and improve their merchandising strategies. This gives retailers high-quality data they can use to make informed decisions about product placement and other aspects of their retail operations.