Welcome to ShelfCheck
Transforming Travel Retail Audits With Intelligent Insight And Actionable Reporting.
Our ShelfCheck App empowers in-store brand teams to easily capture photos of Travel Retail displays and automatically send them to Pi Insight's proprietary computer vision model for immediate analysis and actionable reporting.
With ShelfCheck, you can gain near-real-time insights into plan-o-gram compliance, price checking, display standards, space utilisation, and out-of-stock management. Whether you're tracking retail execution, ensuring consistency across locations, or improving operational efficiency, ShelfCheck delivers the insights you need to make informed decisions quickly.
How Does ShelfCheck Work?
Deploy The App To Store Teams And Prepare To Audit
The ShelfCheck App can be used by in-store teams on any hand-held device.
ShelfCheck is intuitive and easy to use, guiding staff to easy select their current airport location, terminal and store from our pre-determined list of global Travel Retail outlets.
Once the location is set, users are guided to the photo-capture stage of the process.
Store Teams Capture Images Of In-Store Display
The store team capture the desired photos of fixtures and displays through the ShelfCheck App. The App is self-guiding and assists users in ensuring photo composition, quality and frame are to the highest possible standards for analysis.
Once the required photos are captured, the user is guided to automatically send them directly to Pi Insight for analysis.
Computer Vision Analysis
Once the store photos are recieved, the multi-stage analysis phase commences.
Image Preprocessing:
The images are resised, normalised, and optimised to highlight key features while reducing noise. This ensures uniformity and enhances the computer vision model’s performance.
Pattern Recognition & Classification:
After preprocessing, the model identifies unique products via key features against Pi Insight’s extensive proprietary database and product dictionary, which contains more than 30,000 travel retail SKUs. This unique dataset enables precise identification of products, including recognising objects (e.g., bottles) and reading specific details such as text on shelf labels and price tickets.
Output & Decision:
Based on these recognised patterns, the system classifies products and makes decisions against database information, before sending the results for further compliance checks.
Data Verification Of Every Photo
Every image that passes through the ShelfCheck computer vision model is manually verified.
All outputs are checked by viewing a copy of the photo / fixture being analysed against all key metrics and then confirmed. Checks are done against all machine-driven output such as facings, prices, labels, promotions etc.
Our proprietary QC system enables our internal team to make amends directly in our back end data base prior to publication.
Analysis And Reporting
Once images pass through the computer vision model and are verified, the resulting data is automatically published for clients to analyse and report on. This seamless process ensures that clients receive near-real-time insights.
Additionally, client-specific reporting features are integrated, allowing users to compare the results with what should be displayed in-store according to plan-o-grams or other store standards. These custom features provide a clear view of performance, compliance, and any discrepancies, all accessible via an intuitive dashboard tailored to each client’s needs.
Summary
Seamless Process And Fast Results
Using ShelfCheck is a seamless and efficient process. In-store brand teams simply capture photos of Travel Retail displays with the app, and from there, the analysis happens automatically.
The images are sent directly to Pi Insight’s proprietary computer vision model, where they are quickly processed and analysed. This means that without any additional steps, actionable data is generated, providing almost-instant feedback on retail performance, from plan-o-gram compliance to pricing accuracy.
With everything happening in the background, teams can focus on the real work of ensuring their displays are impactful, knowing that the data will be available almost immediately for further review.
Competitive Advantage
The benefits of ShelfCheck go beyond convenience, helping teams win in-store by providing near-real-time insights that can drive faster, smarter decisions.
Whether it's ensuring displays are optimised or catching pricing errors before they affect sales, the app offers a powerful tool to boost efficiency and execution.
Crucially, ShelfCheck helps ensure you never miss a sale again by quickly identifying out-of-stock issues or non-compliance with display standards.
This means maximising every sales opportunity and maintaining consistency across stores, giving brands the edge they need to stay competitive.