The numbers are accurate. Human eyes only ever view less than 1% of surveillance footage. That means that more than 99% of surveillance footage is completely useless. From that video, VideoSplitter.ai collects valuable information that may be measured and then arranges it into the data that supports the operation of your company.

Retailers can identify high and low traffic locations by watching heat map videos of consumer routes. They can increase traffic to all products by changing spacing and display arrangements. Retailers can also run A/B tests on various floor plans and display styles to discover which ones produce the best results. The insights provided by VideoSplitter.ai also eliminate speculation from retail planning. Track and measure the items that draw people's attention and that they choose to purchase in order to learn more. To comprehend the whole spectrum of consumer behavior, compare this to actual purchases.

Retailers alone lost about $48.9 billion in inventory due to staff theft and shoplifting last year. VideoSplitter.ai assists businesses in identifying staff theft, catching shoplifters, and reducing loss. VideoSplitter.ai helps quickly search weeks of video, focusing on specific locations, to identify suspects when inventory counts reveal missing items from a particular region of the store or warehouse. Regular investigations frequently miss behaviors like this since it takes time to go through weeks of film, especially when you don't know what you are looking for.