Case Study: Generative AI for Business Process Optimization

The Client
A leading company in the production of metallic and non-metallic accessories for the fashion and luxury industry, with a global presence and a reputation for excellence in product quality. The company serves some of the most prestigious international fashion houses and stands out for its innovation capabilities and attention to detail.

The Challenge
The client needed to increase productivity, optimize internal processes, and enhance tracking of products and projects. With a wide range of ongoing products and projects, the company faced the challenge of effectively managing large volumes of data and information from various internal sources. Furthermore, it was crucial to quickly retrieve information related to past developed and documented projects and products.

The Solution
Omnys proposed the development of an advanced Generative Artificial Intelligence (GenAI) Agent, integrated with the client’s enterprise databases. This innovative solution was implemented as a customization of Omnyscient, Omnys’ GenAI platform designed to accelerate the adoption of Generative AI technologies.

The key element of the solution was the development of an AI Agent capable of autonomously accessing the enterprise database and retrieving the required information. This was made possible through advanced prompt engineering, which enabled the Agent to accurately understand and interpret user queries, translate them into appropriate database queries, and provide accurate, context-aware responses.

The solution was developed leveraging powerful AWS capabilities, particularly:
- Amazon Bedrock: used as the foundation for implementing the language model behind the AI Agent, ensuring high performance and scalability;
- Amazon ECS (Elastic Container Service): used to orchestrate and manage the containers hosting the various application components, providing a flexible and easily scalable infrastructure.

The AI Agent was designed to:
1. provide quick and intuitive access to information on both current and past products and projects by directly querying the enterprise database;
2. automate responses to complex internal staff queries by understanding the context and delivering relevant information;
3. facilitate data analysis to support decision-making by extracting and correlating information from multiple sources;
4. enhance collaboration between different company departments by providing a single, reliable source of information;
5. optimize product tracking across the entire production chain by providing real-time access to production and logistics data.

The solution was seamlessly integrated with the client’s existing systems, ensuring a smooth transition and rapid adoption by users.

Results and KPIs
The implementation of the GenAI Agent based on Omnyscient led to significant improvements in several key areas of the business:

• Increased productivity: 40% reduction in time spent searching for information, thanks to the Agent’s ability to access the database directly and provide instant answers;
• Process optimization: 35% improvement in internal process efficiency due to faster and more accurate access to relevant information, including historical data on projects and products;
• Enhanced traceability: 50% increase in accuracy of product and project tracking, enabling more effective product lifecycle management and better production planning;
• Historical information retrieval: 70% reduction in time needed to retrieve information on past projects and products, significantly improving the ability to learn from previous experiences and apply best practices;
• User satisfaction: an internal survey revealed a 98% satisfaction rate among AI Agent users, highlighting enthusiastic adoption of the new technology and appreciation for its ability to deliver accurate and contextualized answers;
• Error reduction: 30% decrease in communication errors and delays due to missing or incorrect information, thanks to the Agent’s ability to directly access company data and provide accurate insights;
• Decision support: 45% improvement in the speed and accuracy of decision-making processes, enabled by immediate access to relevant data and insights extracted and correlated by the AI Agent.

Thanks to the solution—based on Omnyscient, powered by AWS technologies, and optimized through advanced prompt engineering—the client was able to strengthen its leadership position in the industry by improving operational efficiency and the ability to respond quickly to market demands.

The combination of Omnyscient, Amazon Bedrock, and Amazon ECS, together with the AI Agent having direct access to the enterprise database, demonstrated how Generative AI technologies, when properly integrated, customized, and optimized, can radically transform business processes, bringing tangible improvements in efficiency, accuracy, and decision-making in the fashion and luxury sector.