Wastage of time, material resources, and human capital in offering products with various price ranges and market segments within the same customer portfolio.
Customer segmentation to personalize shopping experiences based on identified profiles.
Well-directed resources in closing deals with clients.
Analysis of a large volume of social media posts to determine the overall sentiment of users, whether it is positive or negative.
The approach involved training a pre-existing sentiment analysis model with the posts.
The customer can retrain the model by inputting new posts through a custom-built API.
A comprehensive library of technical processes for understanding and executing daily tasks.
Fine-tune ChatGPT with company-specific information and transform it into natural language for creating questionnaires and exams for personnel.
The training program is easily understandable for employees and can be straightforwardly retrained with newly generated information.
The company possesses an extensive product portfolio, which is not universally known to all customers, making the decision of which product to purchase challenging.
Train a model to associate products with historically expressed customer needs, in order to generate predictions and suggest a more specific product portfolio.
The platform recommends specific products based on the input provided by the customer, enhancing the shopping experience.
Provide daily attendance input for employees regardless of their location and prevent others from doing it on their behalf.
Develop a facial recognition model that easily accommodates new personnel and ensures a fast and secure response time, with geographic location.
There is no need to have a supervisor at each location to ensure that the employee is at the workplace at the specified time.
The sale of a specialized product that made it challenging for the sales team to quickly grasp technical matters, thereby impeding the closing of new business deals.
The focus of the model was the training of a chatbot with technical documentation to address specific product-related inquiries from customers.
Customers receive quick and accurate technical responses.
For quality assurance, personnel need to differentiate among a range of measurements for various points of analysis, and the aggregation of this data indicates whether the product is suitable for sale.
Create a predictive model based on historical data, where the points of analysis exhibited a wide variety of measurements, with the dependent variable being whether it met quality standards or not.
The reduction of human error and the acceleration of quality analysis tasks.
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