Many companies are using artificial intelligence (AI) to aid in store compliance. Companies like One Door’s Merchandising Cloud software uses “AI to filter out the dreaded associate selfies and poor photos.”
At Optimum Retailing (OR), we go a step further. We use AI to filter photos as they are taken to confirm
if a fixture matches the planogram found in OR. We call this our Automated Photo Compliance feature, or
APC. Stores no longer need to manually confirm and take a picture to upload for manual approval.
Instead, OR uses deep learning to train our system to recognize if a store has placed the correct
products and signage on the correct fixture. If not, the system will reject the store’s execution and
advise them of what is missing. A simple guided tour through the use of augmented reality (AG) shows
each store what products they need to place on the fixture, and the AI engine confirms that the
execution matches the planogram from HQ. It’s that simple.
The result is an increase in planogram execution accuracy in-store, and a reduction in the level of effort by HQ staff from not having to manually review thousands of images to confirm that stores have executed the correct planogram or request new photos to be taken if the planogram is incorrect.
The feedback OR has received from early tests of APC indicate that stores love the guided tours conducted through AG and the simplicity of both the tool and process, while HQ loves the time and money they save.
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