With our diverse business experience and new business development experience, we can provide total support to prevent wasteful business development.
You can rely on us for environmentally friendly business support.
With datag's know-how and domestic/international business partners, we support the business growth in various markets.
- Business strategy development in new service domains
- Customer development support for new product development
- Design of organization and evaluation systems for engineers and start-up support (hands-on)
- Complement missing functions (management, development, marketing, etc.)
- Localization support for overseas startups
- Growth support for VC-supported companies (business and technical support)
In global corporate investment, a company's stance on the SDGs, including the GX, is increasingly under scrutiny.
The interest is growing in Japan, and increasing number of companies setting out to solve the environment-related issues among large companies as well as small/medium-sized enterprises and start-ups. On the other hand, there are also those who do not know how their business can contribute to the SDGs, are hesitant to consider cost-effectiveness, or do not know who to consult. At datag, we understand that each client's market, product, and culture is different, and we offer the best solution for each.
- Service deployment of long-discharge cycle batteries
- Promotion of renewable energy business
- Construction of power usage monitoring system using IoT devices
datag's goal for logistics and supply chain is to pursue GX and be as environmentally friendly as possible. To achieve this, we promote inventory management and transportation efficiency through the promotion of digitalization and automation of systems. We provide hands-on support from consulting to implementation and operational support to maximize business results while minimizing energy consumption.
- Development of SaaS strategy for logistics robots
- Support for commercialization of delivery optimization
- Evaluation of optimal inventory volume and inventory allocation using AI
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