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- 2022-06-20 03:14:08
Automatic products categorisation with machine learning
A common problem in large online stores is the need for a product to be present in several categories. With staff turnover, it takes a long time for new employees to study the entire category structure of hundreds of categories. The lack of a product in the right categories reduces the likelihood that it will be noticed by the consumer and purchased. My client's site has over 450 categories and often employees do not add products where they should or do not add them in enough categories. That's why I developed an automatic categorization of products for his online store with the help of machine learning. The system is self-learning, training a model loading the descriptions of all products of all categories and is easy to integrate. When an employee writes the product description, he is automatically offered categories in which to add it. He can remove one or add more. The categories have a written probability of coincidence - the higher the higher the categorization. If you are interested, I can send a link to test the automatic categorization.
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- 2022-12-23 12:25:33
The Benefits of Speech-to-Text Technology for Business Improvement
One of the key benefits of speech to text technology is its ability to enable enhanced data analysis. By transcribing audio and video data into written text, businesses can more easily analyze and gain insights from their data. There are many ways that businesses can use speech to text to improve their data analysis efforts. Some examples include: Market research: By transcribing focus group sessions, customer interviews, and other market research data, businesses can more easily analyze and gain insights from their data. Product development: Speech to text can be used to transcribe customer feedback, user testing sessions, and other data related to product development. By analyzing this data, businesses can identify areas for improvement and make more informed decisions about product design and development. Customer insights: By transcribing customer calls and other interactions, businesses can gain a deeper understanding of customer needs and preferences. This can help them to tailor their products and services more effectively and improve customer satisfaction. Overall, speech to text technology can be a valuable tool for businesses looking to improve their data analysis efforts. By transcribing audio and video data into written text, businesses can more easily and accurately analyze their data and gain valuable insights. One way that speech to text can be used to improve customer service is by identifying common customer issues and complaints. By analyzing a large volume of transcribed customer calls, businesses can identify patterns in customer feedback and address common problems more effectively. In addition to identifying areas for improvement, speech to text can also help businesses to better understand the needs and preferences of their customers. By analyzing the language and tone of customer interactions, businesses can gain valuable insights into customer sentiment and tailor their service accordingly.
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