Reducing man-hours and costs! Introducing a case study of "Learning Center Forecast" implementation in the retail industry.
At B-R 31 Ice Cream Co., Ltd., data analysis was outsourced to external vendors. However, since these vendors did not necessarily have extensive knowledge in the business area, they spent considerable time on tasks such as hearing requests for the addition and selection of features used in predictions, leading to inflated outsourcing costs. After the introduction of our product, we achieved significant reductions in external data analysis outsourcing costs and improved the frequency of shipment volume composition ratio predictions. This allowed for high-precision analysis while keeping costs down. [Effects of Implementation] ■ Significant reduction in outsourcing costs for data analysis services ■ Improved frequency of shipment volume composition ratio predictions (from every three months to on-demand) ■ Enabled objective analysis using AI ■ Achieved high-precision predictions *For more details, please refer to the PDF document or feel free to contact us.
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【Business Challenges】 ■ Although data analysis was outsourced, the external vendor did not necessarily have extensive knowledge in business matters, leading to increased costs for external outsourcing due to the time spent on hearings for adding and selecting features used for predictions. * For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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AI Inside is developing artificial intelligence business under the mission of "delivering AI to people and things around the world and contributing to a prosperous future society." By providing an AI platform, we aim to promote the decentralized creation of diverse and valuable AI and sharing among users, striving for a society where AI is spread throughout.