Operational and technical challenges that hindered efficiency and user experience:
- Effectively operating a procurement system with 0.15 million records: The client had a procurement automation system that contained hundreds of thousands of records. The number of records created a challenge as the records were too large to handle without presentations lagging or extended query processing times. It was also important that the user be able to quickly find information without putting excessive load on the server, especially while implementing AI procurement solutions within their smart procurement processes.
- Creating a complex n8n workflow with multiple node interactions: Seaflux created a complex n8n automation workflow that responded to multiple APIs and the internal systems of the organization. Each of the nodes had to functionally be set up correctly in order to move data in the manner desired and still allow everything to run.
- Ensuring data security, as sensitive procurement data could not be processed through third-party servers: Given the confidential nature of procurement contracts and bids, the client could not rely on third-party servers for processing. This necessitated a solution that could guarantee complete data privacy and comply with internal security protocols as part of their AI procurement software and tender management strategy.
- Reducing the time and complexity of building a custom chatbot, which traditionally takes 3–4 months to develop: Developing a chatbot with AI-powered responses usually involves months of design, training, and integration. Seaflux sought a faster, more efficient solution that could deliver a fully functional chatbot in days without compromising performance or accuracy.