Artificial intelligence has been getting a lot of attention these days but, for many industries, it is not yet clear what its practical applications are or what the benefits will be.
Image recognition for retail is one of the more straightforward commercial applications of artificial intelligence. However, it seems to be out of reach for most businesses since, while CPG conglomerates and large retailer chains dominate the market, many retail-focused businesses are smaller local distributors, independent shops or manufacturers, and other partners such as sales and marketing agencies.
This is what these smaller businesses need to know about image recognition for store audit apps:
It is within their reach
Retail audits through in store audit apps are already a reality for smaller retail-focused businesses. Some state-of-the-art merchandising software solutions are already offering image recognition technology.
It is cost-effective
One might think that such a high-end technology would be prohibitive in terms of cost for smaller businesses. However, image recognition for retail – as part of in store audit apps – is very cost-effective since adopting it might lead to time and personnel savings in addition to increased sales as a result of improved monitoring and reporting.
It is easy to implement
Cloud-based technology means there is no need for small businesses to have high-tech installations or personnel when it comes to in store audit apps. In order to implement image recognition for retail, businesses only need to provide some pictures to their software provider so its neural network can be trained in recognizing products and brands. This process normally takes a few weeks.
BrandML means image recognition for retail from VisitBasis, the developers of the in store audit apps for desktop and mobile devices, chosen by many CPG companies, store chains, agencies, and other retail-focused businesses.
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