Published on March 26, 2024, 8:38 pm

NEC Corporation has introduced a groundbreaking marketing strategy planning & effectiveness simulation technology that harnesses the power of generative AI to uncover latent customer needs and formulate optimal solutions. This innovative approach, highlighted in an NEC survey as a pioneering advancement, allows for the automatic visualization of customer interests and preferences, known as psychographic attributes. By utilizing this cutting-edge technology, NEC can generate measures and predict how customers will respond to these initiatives accurately.

The primary objective behind this initiative is to offer services incorporating this technology by 2024. Notably, NEC has already employed this solution in contemplating new services for potential inclusion in next-generation service stations meant for ENEOS Corporation, Japan’s prominent oil & energy company.

Traditional methods used by businesses to grasp customer needs often fall short due to their lack of comprehensiveness and rationality. Approaches such as surveys, discussions, and internet research attempt to capture customer requirements but may not provide a complete picture. Consequently, there is a growing demand for interactive methodologies that can efficiently generate optimal solutions.

Key characteristics of the marketing strategy planning & effectiveness simulation technology include:

1. **AI-powered Marketing Strategy Planning:** Utilizing NEC’s AI technologies like generative AI and consumer attribute expansion technology alongside statistical data such as credit card transactions enables analysis of customer preferences in specific areas or stores. Through simulations of customer responses to proposed measures, organizations can assess potential outcomes before implementation and focus on the most effective strategies.

2. **Large Language Model (LLM) Integration:** Leveraging LLM within generative AI facilitates interactive analysis using natural language input. Users can promptly receive results based on their prompts, allowing for iterative analysis until satisfaction is achieved.

3. **Integration of Purchase History Data:** By combining purchase history data with relevant open data sources available on the internet, companies without extensive in-house data can still conduct comprehensive analyses for informed decision-making.

As part of its strategic vision towards a sustainable future aligned with carbon neutrality goals, ENEOS Group aims to evolve its service stations into dynamic lifestyle hubs tailored to local communities’ needs. By exploring novel services through next-generation service stations, ENEOS intends to utilize NEC’s technologies to unveil latent resident requirements and cultivate services that boost sales while enhancing user satisfaction.

In conclusion, through the amalgamation of cutting-edge generative AI technologies developed by NEC Corporation with forward-thinking business strategies embraced by companies like ENEOS Group in Japan’s energy sector, the future landscape of consumer-centric service offerings appears promising and poised for significant growth.


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