Overview About Mindcraft

A Machine Learning system we developed for the customer can help achieve a significant Inventory Turnover Ratio and thus increase revenue per dollar invested in stock items Benefits you'll get with this Engine: This approach applies to any retail business. Predict sales of any product in stock and boost the general Business Intelligence. The Inventory Turnover Ratio of 80% in two weeks.  If you are looking to build an AI & ML solution like this, contact us nazar.savchenko@mindcraft.ai

We managed to create a business intelligence system that not only predicts the prices of products but also measures its own accuracy Benefits you'll get with this Algorithm:  Almost 95% of average relative accuracy for product pricing. Keep the error rate to the minimum Opportunity use engine in other domains, Retail, E-commerce, hospitality Individual engine development under the business client. If you are looking to build an AI & ML solution like this, contact us nazar.savchenko@mindcraft.ai Technologies used: Subject: Price Prediction Software, Prediction Accuracy Evaluation, Deep Learning Data Science areas: Feature Analysis, Estimators, Machine Learning Architectures: Linear Regression, Boosting Regressors, Deep Neural Networks Tools: Python, Tensorflow, Sklearn

Subject: Automated Document Classification, Document Capturing, Data Extraction, AI Document Recognition Business Areas: Banking, FinTech, Retail Data Science Areas: Computer Vision, Machine Learning Tools: Python, Tensorflow, Sklearn, Tesseract MindCraft helped to automate the document capture and recognition for a client in the Banking industry using AI Document Recognition Software. The system can process documents for any domain and containing any kind of content, from handwritten text to fields and tables.