Use Case-Staff Exclusion

Challenges

In high-end retail, accurate people counting is crucial to measuring and optimizing your store’s performance. So, how can you ensure precise counts while staff members move in and out all day? 

Traditional staff exclusion solutions like Bluetooth tags or fixed badges on staff uniforms can be inflexible, costly, and detrimental to your brand’s image.Retailers need a more innovative solution to help them exclude in-effective counts of staff entries and exits to make more informed business decisions based on precise counts of store traffic.

Solution

TDI’s deep learning solution distinguishes and excludes staff movements by identifying their clothing and accessories. This provides good-enough accuracy, lower costs, and preserves your brand’s image, making it the ultimate choice for smart retailers.

The solution focuses on:

  • Using the sensor embedded deep learning capability
  • Saving your invest: no need for any extra hardware
  • Anonymized data collection by analyzing the dress and hairstyle of a person, without infringing on privacy
  • Fast-to-enable, usually it takes only two weeks to enable the feature

Benefits

  • It preserves your staff’s appearance and your brand’s image
  • No extra equipment needed, so you save on costs
  • No need to wear special identification items, like badges
  • Deep learning ensures ever-improving accuracy
More Use Cases
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