Optimizing Share-of-Shelf with AI: Accurate Measurement and Outperforming Competitors

08/05/2023

Optimizing Share-of-Shelf with AI: The Secret Weapon of Brand Managers in 2026

In the fiercely competitive retail market of 2026, ensuring your products are prominently displayed on shelves (share-of-shelf) is crucial for driving sales. However, manually measuring and optimizing share-of-shelf is time-consuming, labor-intensive, and prone to errors. That's why AIVision offers a breakthrough solution using artificial intelligence (AI) to help brand managers gain a competitive edge.

What is Share-of-Shelf and Why is it Important?

Share-of-shelf (SOS) is the proportion of shelf space that a brand occupies compared to the total shelf space of the entire product category. SOS directly impacts product visibility, which in turn influences consumer purchasing decisions. Research shows that products with a higher SOS generally have better sales performance.

Tracking SOS helps brand managers:

• Evaluate the effectiveness of display strategies.
• Compare product performance against competitors.
• Identify opportunities to improve product visibility.
• Negotiate better shelf placement with retailers.

Challenges in Measuring Share-of-Shelf Using Traditional Methods

Measuring SOS manually often faces the following challenges:

• Time-consuming and labor-intensive: Staff must visit each store, count the number of products, and measure the display area.
• Prone to errors: Due to subjectivity and fatigue, the collected data may be inaccurate.
• Difficult to scale: Tracking SOS on a large scale, across many different stores, is a significant challenge.
• Slow data updates: The information collected is often delayed, not reflecting timely changes on the shelves.

AIVision's AI Solution: Accurate and Efficient Share-of-Shelf Measurement

AIVision provides an advanced AI solution that automates the SOS measurement process, delivering high accuracy and significantly saving time and costs. Our solution includes:

• AI-powered image analysis: Using cameras or images taken from phones, AI can identify products, count quantities, and estimate display area.
• Real-time data: SOS data is updated continuously, helping brand managers stay informed about display conditions in a timely manner.
• Visual reports and analytics: Data is presented in easy-to-understand reports and charts, making it easy for brand managers to analyze and make decisions.
• Integration with other systems: AIVision's solution can be integrated with CRM, ERP, and other retail management systems.

Benefits of Using AIVision's AI Solution

• Increased accuracy: Eliminates errors caused by humans.
• Saves time and costs: Automates the SOS measurement process.
• Improves product visibility: Identifies opportunities to optimize displays.
• Enhances sales performance: Increases sales due to better visibility.
• Data-driven decision-making: Accurate SOS data helps brand managers make informed decisions.

Real-World Example of AI Application in Share-of-Shelf Optimization

A beverage company used AIVision's AI solution to track the SOS of their products in hundreds of retail stores. As a result, they discovered that the SOS of a newly launched product was much lower than expected in some areas. After adjusting their display strategy, the SOS of that product increased significantly, leading to a surge in sales.

Conclusion

In an increasingly competitive landscape, optimizing share-of-shelf is crucial for success in the retail industry. AIVision's AI solution provides a powerful tool that helps brand managers measure SOS accurately, efficiently, and make data-driven decisions to improve product visibility and drive sales.

Want to learn more about how AIVision can help you optimize share-of-shelf? Contact us today for a free consultation!