Retail transformation is underway, driven largely by computer vision deployments that are automating physical shelf tracking. This shift is aimed at boosting productivity in stores as operators strive to protect dwindling margins. In the process, retailers can also cut down on costly errors often attributed to in-store execution failures.
A study authored by Coresight Research – in collaboration with technology providers Simbe and RELEX Solutions – has shed light on the financial impact of computer vision deployments. The research reveals that these hardware deployments directly address persistent issues plaguing the industry, resulting in substantial productivity gains for retailers. However, the cost savings have yet to be fully realized.
Estimates suggest that the total cost of a typical computer vision deployment can range from $5 million to $15 million, depending on the scope and complexity of the implementation. The study finds that these costs are largely offset by increased efficiency and reduced labor expenses. As retailers continue to invest in AI-powered vision solutions, it is likely that the industry will experience further productivity gains, leading to enhanced profitability in the long run.