For Smiles of people
in the service industry
EBILAB’s Business Outlines
TOUCH POINT BI
Information device for management
- POS data analysis, customer prediction AI,
Congestion Forecast AI
Information on congestion levels in a store
Develop systems tailored to your needs.
Analyze pedestrian data for various use
using cameras and sensors
Smart City Project
Improve the efficiency of management based on pedestrian data in a town, shopping district,
or commercial buildings.
Advisory service for teleworking systems.
Conducting seminars on data management, development and utilization of technology, etc.
TOUCH POINT BI:
Store Data Analysis
Data management makes your marketing strategy very effective.
You don’t need to relay on your intuition and experience any more!
Image analysis of visitor numbers and demographics / sales analysis / external factor analysis / questionnaire analysis.
Data can be obtained from any cash registers.
The main operation screen of TOUCH POINT BI
External Factor Analysis Organizing information on goods
Product ABC Analysis Displaying sales per product
Concurrent Sales Analysis
Finding out goods to be sold together
Store Entry Rate/Attribute Aggregation using AI camera
EBILAB has developed TOUCH POINT BI, a system to help restaurants predict the number of customers they will have in the future with more than 95 percent accuracy. Ebiya, a long-established restaurant in Ise, Mie Prefecture, served as a model that the use of the system could more than triple its productivity, grow profits fivefold and reduce food waste by more than 70 percent. EBILAB was born from this achievements to help other restaurants throughout Japan.
TOUCH POINT BI is suitable for restaurants, retail shops, and hotels. However, it can be customized to other operations like medical institutions or manufacturers. TOUCH POINT BI is very useful to make effective strategies for any business.