We achieve problem-solving and productivity improvement in the manufacturing site through "data analysis."
AI implementation support & solution development
AI professionals develop custom systems. World-class "data analysis" is transforming manufacturing.
◆World-Class "Data Analytics" Changes Manufacturing: Deep Analytics◆ ~AI professionals develop customized systems. In partnership with our clients, we solve challenges in manufacturing and improve productivity.~ *(“World-Class” refers to top performers in Kaggle, a community where data scientists compete on AI accuracy.)*
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basic information
Are you feeling anxious about data analysis? ■ You have implemented data analysis once, but you are not quite sure about its effectiveness. ■ The results/accuracy of the data analysis you implemented are not good. ■ You don't even know where to start or how it can be useful. A data scientist with a world-class title will carefully explain the process from the meaning of data to AI systems, working together with you on-site. You can trust us to handle it with confidence. *Features of world-class "Data Analysis" and Deep Analytics* Understanding the meaning of the collected data and appropriately classifying it dramatically enhances the accuracy of data analysis. Data scientists are professionals in AI development with deep insights and experience. They derive "clues for prediction" with flexible thinking and advanced analytical skills.
Price information
Separate estimate available. Please feel free to contact us.
Delivery Time
※It will vary depending on the development requirements. Please feel free to contact us.
Applications/Examples of results
*Examples of Success in the Manufacturing Industry* ■Predictive Maintenance By predicting the deterioration and failure of equipment and facilities, inspections and parts replacements can be performed at optimal times, reducing costs and downtime. ■Demand Forecasting (Production Adjustment) By forecasting sales and shipment volumes, production quantities can be adjusted to optimize inventory. This allows for procurement and price optimization. ■Yield Improvement and Loss Reduction By analyzing the causes of defects in the manufacturing line, yield can be improved. This reduces manufacturing cost losses and enhances productivity. *Not Just in Manufacturing! Various Opportunities for Success* ■Next Purchase Prediction Model for E-commerce Sites Using past sales data, this model predicts what products a customer with a certain attribute will purchase next. ■Sales and Demand Forecasting Model for Stores Using data such as POS register data, this model forecasts future sales and demand for stores. ■Real Estate Sales Price Prediction Model Based on the characteristics of the land itself, surrounding environment, convenience, and past sales performance data, this model predicts the sales price of a particular piece of land. ■Credit Card Fraud Detection Model By comparing past usage of credit cards, this model classifies transactions as fraudulent or legitimate, detecting fraudulent use.
Detailed information
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■Examples of Use in Manufacturing Industry - Predictive maintenance - Demand forecasting - Production adjustment - Yield improvement - Loss reduction, etc.
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■Examples of Utilization in Various Industries - Next purchase prediction model for e-commerce sites - Sales and demand prediction model for stores - Real estate sales price prediction model - Credit card fraud detection model, etc.
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Company information
The world of ICT has been continuously developing and evolving at a rapid pace. It has contributed to the creation of many values and has helped solve customer and societal issues, thereby contributing to the happiness of many people. The dramatic evolution of technology has greatly improved convenience and has facilitated many forms of human interaction that were previously impossible. However, over the past decade or so, I feel that significant changes have emerged in the world of ICT. While it brings happiness to people, it seems that the "side effects" that accompany it have become more pronounced than before. There has been an increase in crimes that exploit technology, an overflow of information, and it has become difficult to discern the truth. The development of social media has expanded the ways in which people communicate, but it has also brought various issues to the forefront, such as violations of human rights, privacy, and copyright. In the future, the field of ICT will continue to evolve rapidly, and its impact on society will also increase. Therefore, it is essential to engage in business while being aware of the negative aspects that such changes may create, and to consider how to mitigate these side effects while bringing happiness to people through ICT. I believe this is also a responsibility for those involved in ICT.
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