AI solutions offered by ABEJA
In the era of 4th industrial revolution,
implementation of AI, a revolutionary technology,
into business and generation of new profits is the urgent theme for every industry
to survive in society during this drastic turning point.
ABEJA, a leading company specialized in Deep Learning,
with wealth of experiences in AI implementation with over 100 companies globally,
ABEJA is dedicated to fully support business from AI implementation to operation,
using our vast knowledge and know-how to meet our clients' needs and circumstances.
AI is not finished when it's made. It is only the beginning with it is launched into a business environment. It takes much more than just operation and maintenance, it is key to build a structure that allows the AI to develop and grow through the use of new data on regular basis.
As an model base of deep learning we developed the "ABEJA Platform" in-house. We will support AI implementation into businesses from various angles, including not limited to operation and relearning processes.
We support over 150 companies in a wide range of industries from manufacturing to infrastructure, logistics, and retail, with application of AI into their businesses.
Based on our knowledge and expertise of AI, we support companies' AI implementation.
AI analyzes the working process of skilled craftsman. Applicable for making instruction manuals for non-experts.
AI enables automated commodity selection and assortment work.
Prediction of the volume of products to be manufactured and when to be sold. Possible to realize optimization of stock by AI.
Based on the market demands and commodity supply circumstances, prices can be changed in real time.
Predict repair methods and necessary parts based on the problem description in inquiries. AI supports the improvement of repair rate.
Obtaining and analyzing customers' behavior data such as age, sex, visit rate, repeat rate
Tracking the line of people's flow at various locations such as retail stores, commercial facility, airport, warehouse, etc.
The steps taken in highly efficient work carried out by skilled workers who have extensive operational knowledge are analyzed. AI quantifies operational steps taken by skilled workers making it easy to create an instruction manual for unskilled workers to improve their work efficiency. AI supports in equipping anyone with the intuition and experience of skilled workers.
Differentiating between products is possible through product image and label data learning. The sorting and classification of products previously done by manual labor can be automated through AI.
AI predicts the optimal quantity and timing for the production and selling of specific goods by analyzing every step from the procurement of materials to production and sales. AI can achieve inventory optimization, previously carried out manually through production and inventory management, by automatically forecasting the demand of each product.
Prices are updated in real time based on market demand and product supply conditions. AI promptly detects business conditions such as the sale of goods, inventory status, or a rise in consumer product needs, and sets an optimal price. Prices are automatically set to maximize profit.
AI supports operations when call centers receive product repair requests. One-time repair rates are improved by the forecasting of repair methods and necessary repair parts based on inquiry details.
Previously unobtainable consumer behavior is visualized using information based on video filmed on cameras setup inside stores, such as customer age, sex and in-store movements, through the use of deep learning technology.
The movement of customers from when they enter a store until they leave is captured using multiple sensors setup inside stores, enabling the quantitative tracking of how customers roam and where they stand.
We provide overall AI project support
based on the customers' situation and needs.
We listen to the customer responsible and contacts, collect existing data, confirm resources. Then we configurate a theme and scope after clarifying objectives and achievements to be accomplished by the use of AI. Taking priority, possibility, and feasibility into consideration, we draw up a business plan including calculation of cost-effectiveness.
After collection and accumulation of datasets needed to analyze and learn for realization of the operation, we conduct a trial analysis called PoC (Proof of Concept). Through the analysis using simple system data, we verify the possibility of AI practicality towards the project requirements.
After succeeding the trial, we develop a system to be implemented for the actual environment. We design and develop overall system from collecting and accumulating data, learning method for AI model, deploying AI model into actual environment, and operation.
To maintain and improve the accuracy of AI model, consistent relearning after implementation is necessary. As ABEJA develops original base of AI and deep learning, "ABEJA Platform", we conduct and maintain AI smoothly after implementation into the actual environment.