A SaaS-Based Chatbot Knowledge Base with Contextual Precision
Organizations today need more than basic FAQs - they require dynamic, personalized knowledge systems to meet user demands. Our client faced challenges in delivering accurate, context-aware information while managing a complex knowledge base. We implemented a SaaS Chatbot Knowledge Base Management System that integrates seamlessly with chatbots, leverages user filters for targeted content, and incorporates contextual data. This solution enhanced user experiences with real-time responses and empowered administrators with tools for efficient content management and integration.
Artificial Intelligence (AI), Software Development
1.5 Year
1 lead developer, 1 business analyst, PHP developers and architects, React developers, test automation engineers
The Challenge
To meet the growing demands of personalized user experiences, our client sought a robust solution to manage their knowledge base efficiently while integrating seamlessly with their chatbot platform.
- Personalization Needs: Users demanded personalized responses based on their context and journey, but the client’s existing system lacked the ability to offer specific content dynamically.
- Integration with External Systems: The client needed a system that could integrate with third-party platforms to enrich the chatbot’s capabilities.
- User Data Collection: The client wanted to collect and process user data through a customizable, automated method, to further tailor the chatbot's responses.
The Solutions
We implemented a SaaS Knowledge Base Management System with the following advanced features:
- Filter Mechanism: The platform enables specific content to be available to users based on pre-defined filters. These filters allow administrators to tailor content delivery according to user profiles, preferences, or specific criteria.
- Contextual Information Management: The system manages and injects contextual information dynamically, providing personalized experiences. This contextual data can be injected at the start of an interaction via SSO login, during the user journey, or even based on specific actions the user takes during their session.
- Form Design for Data Collection: Administrators can design custom forms within the back office to collect and store user data, enhancing the chatbot's responses and capabilities.
- SSO Integration: The system supports Single Sign-On (SSO), allowing contextual data from user login sessions to enhance personalized content delivery.
- Web Service Connector: A built-in connector enables seamless integration with third-party systems, allowing the chatbot to interact with external services (such as CRMs, ERPs, or other APIs) to provide users with even more relevant information.
Results and Impact
By addressing these challenges with innovative features and a scalable platform, we delivered a solution that transformed the client’s knowledge management and chatbot capabilities.
- Enhanced Personalization: By leveraging contextual data and filters, the chatbot provides more relevant and accurate responses, improving user satisfaction by 40%.
- Improved Data Collection: The ability to design and deploy custom forms has allowed the client to gather valuable user insights, which have been used to further refine content delivery and engagement.
- Efficient Integration: The web service connector has streamlined the integration with third-party systems, reducing manual work and expanding the chatbot’s functionality.
- Scalable and Flexible Solution: The SaaS model has enabled the client to easily scale the platform to accommodate growing user demand and expand its features without infrastructure limitations.
Services we provided
- Requirement Study
- Requirement Specification
- UI/UX Design
- Responsive Web Design
- Web Development
- Software Documentation
It's a pleasure and a chance working with Engineeous. Engineeous provides excellent IT services to Living Actor to build and manage Chatbot, NLP & AI technologies...
Benoit Morel
CEO, LivingActor
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