Frequently Asked Questions

Shelftrak is a retail intelligence and execution tracking platform that helps brands and retailers monitor and optimise their in-store presence. It does this by combining AI-powered image recognition, field team data collection, and human verification to deliver real-time insights on shelf execution, planogram compliance, pricing, promotions, and stock availability. By gathering frequent, accurate data from store shelves, Shelftrak helps stakeholders make faster, more informed decisions to drive growth and improve retail performance.

Shelftrak is valuable for fast-moving consumer goods (FMCG) brands, retailers, and field marketing agencies. It's especially useful for trade marketing teams, category managers, and retail execution teams who need detailed, real-time visibility of how products appear on shelves. Whether you’re responsible for planograms, managing field teams, or ensuring compliance, Shelftrak provides actionable data to help you optimise shelf space, spot missed opportunities, and strengthen relationships with retailers.

Field teams or store staff use Shelftrak's mobile app to capture photos of retail displays. These images are then processed using advanced AI-powered image recognition to identify products, pricing, promotions, and more. After the automated checks, a human verification layer ensures final accuracy. This hybrid approach of AI plus human review guarantees a high level of precision in the insights Shelftrak provides.

Shelftrak helps overcome challenges such as poor planogram compliance, slow manual audits, inconsistent pricing, promotion errors, and out-of-stock issues. By delivering rapid, data-driven insights, it allows brands and retailers to react quickly and maintain execution standards. Brands gain clarity on their competitive positioning, pricing, and promotions, while retailers benefit from consistent on-shelf availability and a smoother shopper experience.

You have the flexibility to use your own field teams to collect data with Shelftrak's app. Alternatively, if you need a fully managed service, we can provide our own data collection teams to capture images and audit stores on your behalf. This adaptability ensures that businesses of all sizes and structures can benefit from Shelftrak, whether they prefer a self-service model or a more hands-off approach.

Shelftrak's AI has better-than-human accuracy, thanks to continuous training on a vast database of retail SKUs. What sets it apart is the final layer of human verification: after the AI has processed shelf images, expert analysts validate the flagged data to ensure 100% accuracy. This hybrid method prevents errors that can occur with fully automated systems. It also provides more confidence that brands and retailers can rely on Shelftrak’s reports to make important business decisions.

While Shelftrak initially focused on travel retail, it's designed to handle both domestic and international store environments. Any retailer or brand in the FMCG space can benefit from the platform's functionality, regardless of the region or type of store. The flexible data collection processes and customisable reporting mean Shelftrak can adapt to new markets as businesses grow or shift focus.

Once images are captured in-store and uploaded, AI processing begins immediately, followed by a rapid human verification step. The speed at which you see final insights largely depends on the volume of data and how frequently your teams audit the stores. In most cases, you receive actionable information in a few days. This quick turnaround enables you to respond promptly to issues like out-of-stocks, incorrect pricing, or planogram non-compliance.

You can begin by requesting a demo and discussing your specific needs us. We'll help you determine the best approach, whether you prefer to use your own field teams or rely on Shelftrak's resources for data collection. Next, you’ll outline your target stores, products, and reporting requirements. We’ll set up the system, provide training, and ensure that your teams can start capturing data, so you can begin seeing accurate, actionable insights as soon as possible.