Empowering Digital Transformation: Emuni's Partnership with Estée for Enhanced Advertising Analytics

Empowering Digital Transformation

In the rapidly evolving digital landscape, companies are increasingly looking towards innovative solutions to enhance their operational efficiencies and decision-making processes. Emuni Inc., headquartered in Tokyo, has recently unveiled two compelling case studies demonstrating its pivotal role in supporting Estée Co., also based in Tokyo, with their digital transformation (DX) initiatives.

Background of the Partnership

Estée has embarked on a three-year digital transformation strategy aligned with its mid-term management plan, which places substantial importance on marketing DX and workforce DX. The company’s primary aim is not merely to implement tools but to ensure that all employees can seamlessly utilize them in practice, thereby integrating them naturally into daily operations. Acknowledging the criticality of driving analytics that influence decision-making processes and embedding generative AI into existing workflows, Estée sought a partner that could provide agile support tailored to its unique challenges.

Challenges often arise when leveraging standard packaged tools or AI implementations, as they can fall short in meeting specific local needs or fail to deliver visible benefits, leading to underutilization. Thus, to actualize Estée's goals of democratizing analysis among its team and embedding AI within existing frameworks, Emuni stepped in as a flexible and responsive companion, guiding everything from conception through to implementation and operations.

Case Study 1: Internalization of Advertising Analytics Using Open Source MMM

The first highlighted case showcases how Estée sought to utilize Google’s open-source Marketing Mix Modeling (MMM) tool, Meridian, to address the need for adaptable advertising analytics. This capability would allow the marketing team to decode the impact of various advertising mediums, such as TV commercials and digital initiatives, through flexible analysis directly informing on-the-ground decision-making.

Implementing Meridian required a detailed approach to prepare data, align input formats, and execute ongoing adjustments based on real-time feedback—an area where Emuni provided invaluable support. The case study illustrates how the teams worked together to establish a verification process and operationalize a system that ensured sustainable analytics practices.

Case Study 2: Implementing RAG Functionality in STAiBLE through Generative AI Workshopping

The second case delves into Estée's approach to incorporating generative AI within its organizational structure. To kickstart this integration, they conducted a series of workshops aimed at identifying real-world challenges facing their teams. This led to the development of the internal generative AI tool, STAiBLE, which saw the implementation of a Retrieval-Augmented Generation (RAG) function.

To make RAG functional in a practical sense, careful design was necessary to ensure smooth incorporation into existing workflows, alongside a rigorous cycle of testing and adjustment. Here, Emuni once again proved to be a crucial facilitator across each phase—from workshop creation to implementation and iterative improvement, ultimately enhancing the internal search capabilities of Estée's teams.

Common Themes and Points of Learning

While the cases center on distinct themes—advertising analysis against the backdrop of generative AI—the core philosophy of creating operational fluidity resonates throughout. Both initiatives centered on establishing frameworks that promote agile problem-solving and adaptability within the workplace. The narratives emphasize that successful DX is contingent upon a comprehensive understanding of ground realities and adapting to evolving requirements through iterative improvement.

To achieve lasting success, companies are encouraged to adopt a mindset of starting small, testing new tools and processes, and continuously iterating for improvement, creating a sustainable state of usability.

Conclusion

Through these enlightening user interviews, Emuni underscores its commitment to offering tailored AI solutions and DX strategies for businesses seeking to navigate the complexities of modern operational landscapes. Their work with Estée exemplifies not only the transformative potential of technology but also the importance of partnership and collaboration in realizing these ambitious goals.

For more information, you can read the full interviews:
1. Advertising Analytics Internalization via Open Source MMM
2. Journey to RAG Implementation in STAiBLE

If your organization is exploring similar avenues for digital transformation or generative AI adoption, Emuni is open for consultations tailored to your unique business needs.

About Emuni Inc.

Founded with the mission to enhance work environments through AI innovation, Emuni specializes in providing custom AI solutions tailored to the manufacturing sector. Boasting a team with backgrounds in AI research from institutions such as Kyoto University, their approach emphasizes safety and reproducibility while keenly addressing real-world challenges.

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