Revolutionizing Visitor Experiences: How Generative AI Could Transform Orpheo into a PlatformPowerhouse

18

October

2024

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For our GenAI proposal, our group (group 3) explored how Orpheo Group, a global leader in visitor solutions for cultural institutions, could revolutionize its business model by integrating GenAI and transitioning from a traditional supplier to a dynamic platform provider. We proposed GenAI as the key solution to automate and personalize Orpheo’s content creation process, while also transforming the visitor experience.

The core of our proposal is an AI-powered chatbot designed to deliver hyper-personalized experiences. This chatbot would generate visitor-specific tour scripts, offering multilingual voice synthesis tailored to individual preferences such as topics of interest, available time, and accessibility needs. By incorporating GenAI, Orpheo could significantly cut costs while maintaining the high-quality content that distinguishes the brand, all while offering a more engaging and adaptable experience for museumgoers.

Beyond the immediate benefits of personalization, the integration of GenAI opens up new opportunities for Orpheo to become a data-driven platform provider. By collecting and analysing visitor data, Orpheo can offer museums and cultural institutions valuable insights into visitor behaviour, improving exhibit management and marketing efforts. This not only enhances visitor engagement but also strengthens Orpheo’s relationship with its partners, positioning it as a central player in a broader ecosystem.

While the promise of GenAI is significant, our findings also highlight challenges that Orpheo will need to address. These include the complexity of AI implementation, data privacy concerns, and potential shifts in employee roles as technology changes workflows. We proposed strategies like forming partnerships with AI specialists and running pilot programs to ensure a smooth and manageable transition.

Our research delved into adaptive audio guides and recommendation systems, further supporting the idea that personalized experiences will become a major differentiator for Orpheo. The platform model we propose could allow the company to scale its offerings and remain competitive against new entrants, securing a stronger market position.

To bring this concept to life, we developed an early-stage prototype named LISA, designed to showcase a GenAI solution for the Louvre. This prototype is a tangible demonstration of how Orpheo could implement this technology and reshape the visitor experience in one of the world’s most renowned museums.

If successfully implemented, Orpheo’s transition from a content supplier to a platform provider would mark a significant shift in the industry, reinforcing its leadership in digital visitor solutions and enabling the company to scale its services globally.

This project taught us how disruptive technologies, like GenAI, can transform a company’s business model and provide a competitive edge in the digital economy. By integrating AI into Orpheo’s operations, we explored how firms can improve efficiency, offer personalized customer experiences, and reposition themselves as platform providers. The experience reinforced key course concepts, such as the importance of adapting to technological advancements, rethinking business models, and navigating the challenges of data-driven solutions. It provided a practical understanding of how digital disruption can create value and reshape industries, preparing us for future roles in a technology-driven business world.

Authors (Group 3): Riccardo Di Bernardo, Alessio Merello, Tim Niedermann, Roan Otten

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How Generative AI integration can be streamlined with SAP AI Suite

3

October

2024

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At the end of my bachelor’s degree, I completed an internship at KPMG, in the Enterprise Platform office in Milan, Italy. During this time, KPMG was embarking on an exciting journey: integrating generative AI capabilities into their solutions through SAP, which offered the promise of faster implementation compared to the standalone AI tools. I had the unique opportunity to contribute to this transformation by working on a pilot project for one of KPMG’s clients, a luxury fashion group, focusing on using generative AI to elevate their customer support experience.

Enterprise Resource Planning (ERP) systems have always been central to business operations, and SAP is a major player in this domain. Over the years, SAP has evolved from an on-premises solution to a cloud-based system which enables real-time analytics and efficient data processing. Integrating AI into ERP systems takes this evolution a step further, opening new opportunities for businesses to enhance efficiency and personalization in their operations.

SAP has taken significant strides to make generative AI accessible and easy to integrate into existing workflows. Through the SAP Business Technology Platform (BTP), companies are given the tools they need to develop and integrate AI applications efficiently. BTP, which functions as a Platform as a Service (PaaS), provides a secure environment to create new applications or extend existing ones.

SAP’s AI integration strategy includes several levels, from embedding AI natively in SAP’s ERP software to offering AI Business Services for enhancing existing applications. Additionally, SAP provides tools like AI Core and AI Launchpad for companies to build their own AI models, manage them, and deploy them at scale. This infrastructure allows for the smooth and scalable integration of AI without the need for businesses to handle complex IT logistics. The SAP AI Business Services include Service Ticket Intelligence, which helps classify service requests and provide agents with recommended responses, and Personalized Recommendation services.

The objective of the project has been to integrate SAP’s generative AI into the company’s customer support systems. The primary objective was to improve customer service efficiency while maintaining the high level of personalization that luxury customers expect.

Using SAP’s Service Ticket Intelligence, we automated the classification and routing of incoming service requests, which allowed customer service agents to focus on more complex issues that required a human touch. The implementation of conversational AI tools also enabled faster and more interactive responses to customer queries. Additionally, sentiment analysis tools were employed to identify dissatisfied customers early, enabling the team to proactively address concerns.

The early results of this project were impressive: response times decreased significantly, agent workloads were streamlined, and overall customer satisfaction improved. The generative AI capabilities not only automated routine tasks but also added a layer of personalization, helping the luxury brand provide the exclusive and responsive experience their customers desired.

This experience highlighted the powerful potential of integrating generative AI into ERP systems, transforming both efficiency and the quality of customer interactions.

References

https://www.sap.com/products/artificial-intelligence.html

https://www.sap.com/products/artificial-intelligence/sales.html

Chui, M., Roberts, R., & Yee, L., 2022. Generative AI is here: How tools like ChatGPT could change your business. McKinsey & Company.

Mah, P.M., Skalna, I., & Muzam, J., 2022. Natural language processing and artificial intelligence for enterprise management in the era of Industry 4.0. Applied Sciences, 12(18), p.9207.

oundar, S., Nayyar, A., Maharaj, M., Ratnam, K. & Prasad, S., 2021. How Artificial Intelligence is Transforming the ERP Systems.

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OTB Group’s Digital Revolution Led by Blockchain and NFTs

18

September

2024

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As someone deeply interested in both the fashion industry and technology, I was fascinated when I first discovered how OTB Group, a renowned Italian company known for fashion brands like Diesel and Maison Margiela, is bringing innovations to the luxury fashion industry by leveraging the latest technologies.

At the heart of OTB’s digital transformation is Brave Virtual Xperience (BVX), the company’s business unit dedicated to virtual fashion and metaverse projects. Under the guidance of Stefano Rosso, BVX has launched several innovative projects that enhance customer engagement through digital collectibles, NFTs, and virtual fashion.

One standout initiative from BVX is Maison Margiela’s MetaTABI, a collaboration with The Fabricant (a Dutch digital fashion platform) that transformed the iconic Tabi Boot into a digital collectible available as an NFT. This project introduces a new level of consumer interaction by offering exclusive, customizable assets that overcome the boundaries of traditional fashion. Through these digital experiences, brands like Diesel and Maison Margiela are not only expanding their creative offerings but also building deeper consumer relationships with their fan base. Platforms like Discord further enhance engagement by providing dedicated spaces for continuous interaction, allowing OTB to build strong communities around its digital innovations.

In addition to its work with NFTs and virtual fashion, OTB has taken a leadership role in advancing blockchain technology through its involvement in the Aura Blockchain Consortium. Founded in 2021 by OTB, LVMH, Prada, and Cartier, Aura aims to establish blockchain as the gold standard for transparency and traceability in the luxury fashion industry. Through blockchain and NFC chips embedded in the products, OTB is able to provide customers with digital certificates of authenticity for its products, giving them verifiable information about a product’s provenance, materials, and craftsmanship. In doing so, OTB ensures that its products meet high ethical standards while preparing for future regulations, such as the Ecodesign for Sustainable Products Regulation, which will mandate digital passports for all products by 2050.

OTB’s commitment to NFTs, blockchain, and virtual fashion has already produced significant results. Since 2022, OTB has registered over 1.2 million products on the Aura blockchain platform, allowing consumers to access digital certificates of authenticity that provide detailed information on the origins and sustainability of their purchases.

As OTB continues to lead in this digital revolution, it sets the stage for the future of fashion. By merging creativity with technology, the company is staying relevant and shaping an industry that is increasingly focused on transparency, sustainability, and immersive experiences. In my opinion, it is very encouraging to see OTB experimenting with such a wide range of digital innovations. Given that there are still many untapped opportunities in areas like blockchain and NFTs, this bold approach opens doors for even more groundbreaking advancements in the future.

References:
Pilaniwala, Pankaj. (2023). How NFT is Changing Fashion Industry: A Systemic Review and Analysis. International Journal for Research in Applied Science and Engineering Technology. 11. 81-91. 10.22214/ijraset.2023.48480.
Wang, Duhan & Ren, Qianmingyan & Li, Xinyu & Qi, Yiman & Zhou, Qi. (2022). Defining Consumers’ Interest and Future of Nft Fashion. 10.2991/assehr.k.220401.111.
Sgarzi, B., 2024. La blockchain per combattere la contraffazione e sviluppare la sostenibilità. Il Sole 24 Ore, 12 March.
Prosperi, A., 2024. Aura blockchain taglia il traguardo di più di 40 milioni di prodotti tracciati. Milano Finanza, (100), p.25, 22 May.
Argante, E., 2023. Come questa società sfrutta la blockchain per portare più trasparenza nello sviluppo dei capi d’alta moda. Forbes, 3 August.
Vogue Business Custom Insights Team, 2021. Resale, rental and NFTs: Vogue Business Index reveals top trends in innovation. Vogue Business, Winter 2021.

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