Robotic shelf observation
Capture shelf imagery through scheduled or ongoing robot patrols. The observation workflow provides repeated views of the selected aisles and shelf positions for the computer-vision analysis that follows.
JCP AutRi
JCP AutRi combines robotic shelf scanning with computer vision to identify stock gaps, pricing issues and planogram deviations. Turn shelf observations into prioritized store interventions and review the result on a later scanning pass.
Physical AI for retail shelves
Finding a shelf gap is only the first step. Someone needs to know where it is, understand the issue and take the right action. AutRi connects aisle scanning with shelf-state analysis and intervention routing through JCP StoreOps. A subsequent pass can check whether the observed issue has changed, linking detection and store execution in an ongoing operational cycle.
Inside JCP AutRi
Capture shelf imagery through scheduled or ongoing robot patrols. The observation workflow provides repeated views of the selected aisles and shelf positions for the computer-vision analysis that follows.
Use computer vision to identify products and infer shelf conditions, including missing or misplaced items. Pricing audits compare shelf information with the master price list used for the configured workflow.
Compare observed shelf conditions with the intended planogram. Deviation mapping, aisle-level views and historical trends help merchandising and operations teams examine recurring shelf-execution problems.
Prioritize detected deviations and route contextual interventions through JCP StoreOps. Give associates the aisle, shelf position and required action, then use a later observation to check the resulting shelf state.
The product in practice
Follow the decisions and handoffs that bring JCP AutRi into your operation.
Run the configured patrol across the relevant store areas. Capture the shelf imagery needed to assess product presence, placement, displayed prices and compliance with the intended arrangement.
Analyze the observations and prioritize issues for store action. Route the contextual intervention to associates through StoreOps so the task points to a specific location and observed problem.
Review the shelf on a subsequent pass. Use the updated state and historical pattern to distinguish a resolved issue from one that recurs or needs further operational investigation.
In your working day
Start with the situation your team needs to address. Then map the capabilities and connections around it.
Identify missing products in scanned grocery aisles and send the relevant location context into the store intervention workflow for associate follow-up.
Compare observed shelf pricing with the master price information and route potential discrepancies to the team responsible for checking and correcting them.
Use deviation maps and historical trends to examine shelves or zones that repeatedly differ from the intended arrangement, then coordinate a focused store response.
A little more detail
Explore what JCP AutRi could mean for your team.
Ask our teamAutRi's intervention workflow connects to JCP StoreOps. The task can carry the observed issue, aisle or shelf location and required action, giving the associate context for checking the finding and responding.
A shelf observation describes the visible selling position. It does not by itself establish the stock held elsewhere in the store or network. Associates should use the relevant inventory and operational context when deciding how to resolve it.
Deployment needs to account for store layout, fixtures, product visibility, operating conditions and the required coverage. Agree the observation scope and validate the workflow in the intended environment before extending it to more locations.
Your next step
Talk through JCP AutRi, your existing systems and the scope that fits your business.
Connect the capabilities, retail workflows and planning steps that matter to you.