18 Questions About Neural Networks for Trade Audit
The effectiveness of the application of Image Recognition strongly depends on the human factor. If the merchandiser does not rearrange the layout — the recognition accuracy will decrease — the company will not receive reliable information about the share of the shelf, representation, out-of-stock, etc. So Image Recognition is just another, albeit innovative, tool in the hands of an employee.
Our attention was attracted by the case of one of the largest FMCG companies producing alcohol goods, which introduced neural networks into trade audit 7 years ago. We bring to your attention the most interesting moments of the Q&A session about the real experience of using Image Recognition in the mentioned company.