Our client
Our client is a leader in the water treatment sector, specializing in designing, building, and operating a range of facilities, including drinking water and wastewater treatment plants, as well as reverse osmosis desalination plants. They are also experts in advanced tertiary treatments for water reuse. With a strong commitment to innovation and service excellence, the company focuses on enhancing urban water services, solidifying its position as a key player in the industry.
Challenges faced
The client aimed to make their procurement processes more efficient but faced several challenges. Recognizing the potential of AI to revolutionize their operations, they were uncertain about how to implement it effectively. Their goal was to leverage their data to provide actionable recommendations on materials and suppliers through an intuitive interface.
Optimizing their datasets involved collecting and analyzing vast amounts of procurement data, identifying patterns, and generating insights that could guide decision-making. This required integrating various data sources and applying advanced analytics to predict the best materials and suppliers.
However, the client needed clarity on which AI solutions would best suit their needs and how to refine their approach. They needed a clear strategy to turn their data into useful recommendations. The complexity of this task and the uncertainty around the right technologies highlighted their need for expert help to navigate these challenges and reach their goals.
Paving the way to success
To address the client’s challenges, we began by thoroughly defining the project scope through collaborative meetings with both the business and technology teams. This process helped us identify several potential use cases for their AI solution, each with unique benefits and requirements.
We carefully tested these use cases to refine them and ensure they aligned with the client’s needs. Based on these insights, we proposed a proof-of-concept project. This initial phase allowed us to evaluate the feasibility of implementing the use cases and to identify any necessary adjustments before moving forward.
The proof-of-concept was a critical step in validating our approach, ensuring that the proposed solutions were both practical and aligned with the client’s goals. This set the stage for a successful rollout and effective integration into their operations.
Benefits unlocked
Through comprehensive product demonstrations and feedback sessions with procurement teams, we developed a sophisticated chatbot powered by ChatGPT 3.5. This chatbot is designed to enhance search efficiency by providing tailored recommendations for products and materials based on specific user queries.
In the initial phase, we showcased the chatbot’s features through multiple demos and collected detailed feedback from the client. This input was crucial in fine-tuning the chatbot to meet their specific needs.
Using prompt engineering, we ensured the chatbot could handle complex queries and provide relevant, accurate recommendations. This approach allowed the chatbot to deliver exactly what users needed in a clear and useful manner.
Our strategy was centered on flexibility and responsiveness to the client’s needs. By incorporating regular feedback and maintaining close collaboration, we adapted our solution to perfectly fit their requirements. This hands-on approach not only enhanced the chatbot’s performance but also strengthened our partnership with the client.
At Amaris Consulting, we specialize in delivering tailored AI solutions for procurement and more. Contact us today to learn how we can help you overcome your challenges and achieve your goals!
