
AI Solutions
for the e-commerce and retail industries
With the spread of social media and video streaming services, the amount of information and content is rapidly increasing, requiring speed and accuracy in the industry. Our solutions use AI to automate article summarization and information gathering, as well as generate and verify advertising creatives. By combining multimodal analysis and audio/video technology, we reduce the burden of editing and operations.
In the entertainment field, we also shorten production times and expand the scope of expression with services such as video editing, composition, and animation support. By leveraging human creativity while collaborating with AI, we make it possible to deliver new experiences and value.
How We Solve
Use Cases
Supermarket
Shelf Allocation Optimization
Sales Forecasting for Inventory Planning
Trend & Review Analysis for Product Planning
ECプラットフォーム
Personalized Sales Promotion
Fake Review Detection
Real-Time Ad Performance Analysis
小売
Personalized Marketing
In-Store Operations Optimization
Demand Forecasting & Inventory Optimization
How We Solve
Solutions
From video and speech to language and sensor data, our expert team builds AI solutions that tackle real-world challenges using deep learning.
How We Solve
FAQ
How long does it take to complete a PoC ?
Although it depends on the task and the state of data preparation, in most cases results can be confirmed within 2 to 3 months. For small-scale testing, it is possible to complete it in about 1 month.
How should I estimate costs (initial costs and operating costs)?
It will vary depending on the type of AI used, the amount of data, and the scale of operation. If you contact us, we will provide you with a rough estimate including initial and operating costs.
Is it possible to introduce AI even if there is little initial data?
Yes, it is possible. Even if you have little data, there are various approaches you can take, such as using existing public data or generating training data from existing data to train the model.
To what extent can recommendation AI lead to increased sales?
The effectiveness varies depending on the business type and product characteristics, so it is not possible to provide a definite figure. However, by utilizing recommendation AI, it becomes possible to "suggest products that are tailored to each individual," which is expected to have the effect of increasing the average customer spending and preventing customer churn.
Can inventory forecasting AI handle seasonal events and sales?
Yes, that is possible. When using AI for inventory forecasting, by learning past sales data and patterns of demand fluctuations, it is possible to make forecasts that take into account not only normal times but also fluctuations in demand during seasonal events (Christmas, Valentine's Day, Obon, etc.) and sales.














