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Overcoming inefficient manual shelf audits
Maintaining accurate inventory on the retail floor remains a significant operational hurdle. Traditional shelf-auditing processes rely heavily on store associates manually walking the aisles to inspect items, check prices, and verify tags. This approach is not only incredibly time-consuming but also highly susceptible to human errors. Because store associates cannot audit constantly, pricing discrepancies and missing labels often go unnoticed for hours or days, causing substantial alignment issues.
These operational bottlenecks lead to high costs and lost revenue when shoppers encounter out-of-stock, misplaced, or incorrectly priced items. Frustrated customers may leave the store empty-handed, directly reducing sales opportunities and hurting loyalty. Furthermore, forcing associates to spend hours tracking shelf errors manually prevents them from focusing on valuable customer interactions, which worsens store productivity and overall service quality.
The automated real-time retail shelf auditing solution
To solve these retail inventory issues, the TC501 and TC701 mobile devices work in tandem with Zebra Frontline AI Enablers to modernise store audits. By automatically scanning shelves and detecting issues, this setup helps retailers increase sales through improved and consistent shelf availability. Additionally, this streamlined workflow works to increase the speed of task completion so store associates can spend more time assisting customers with their shopping needs.
Potential benefits
Moving from slow, error-prone manual reviews to automated shelf scanning shifts store operations from reactive troubleshooting to proactive compliance, enabling retailers to achieve clear and highly consistent improvements in overall shelf conditions.
Improved sales
through improved and consistent shelf availability across all retail aisles
Faster task completion
so store associates can spend more time assisting customers and improving their shopping experiences
Better shelf accuracy
and improved pricing displays to reduce customer frustration and avoid lost revenue opportunities
How the solution works
Capture shelf images efficiently
Store associates can use the TC501 or TC701 mobile computer to capture detailed shelf images. The TC501 supports clear image capture for documenting product details and barcode layouts, while the TC701 uses an ultra-wide camera to capture broader sections of shelving in a single scan. Both rugged devices provide the processing performance needed to collect shelf data under varied store lighting conditions, helping associates audit aisles efficiently and identify misplaced merchandise without slowing down.
Flag out-of-stock items automatically using intelligent edge analytics
Once images are captured, Zebra Frontline AI Enablers process the visual data directly on the device using advanced, pre-trained AI models. Models, like the Shelf and Product Localiser, Product Recogniser, and Text-OCR Recogniser, detect products, shelf labels, facings, and pricing text to support out-of-stock detection, planogram compliance, and the identification of pricing errors or misplaced items. By analysing shelf images on the edge, these API-based building blocks give developers precise coordinates and decoded data to build solutions that deliver real-time guidance to associates.
Maximise store performance with automated auditing
Automating your shelf audits protects your bottom line and improves productivity. Investing in intelligent retail edge tools helps prevent lost sales, increases operational efficiency, and allows associates to focus on driving customer satisfaction.
Note:
Use case figures, savings estimates and images are illustrative only and may be derived from customer data, projections, or controlled testing. They do not represent guaranteed results, and actual outcomes will vary by application; customers should consult a Zebra sales representative to evaluate their specific environment.
