Dialogflow/NLP Chatbot
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
An established online marketing company specializing in driving conversions through AI-enhanced user interaction sought a dynamic chatbot solution to boost customer engagement. The client needed a custom-built chatbot to seamlessly integrate into their website and handle customer inquiries in real-time.
Scope Of Work
The client sought Oodles to create a more personalized customer interaction model by replacing their existing chatbot with an intelligent, context-aware solution. The objective was to build a robust, API-driven chatbot that would integrate with the website, providing users with timely, accurate responses while minimizing human intervention.
Our Solution
Oodles developed a custom Dialogflow-powered chatbot solution that seamlessly integrated with the client’s website, addressing their key requirements of automation, user engagement, and scalability. Here’s how the solution was implemented:
- Custom Dialogflow Integration: Built a personalized chatbot using Dialogflow’s advanced NLP capabilities, enabling the bot to understand and respond to user queries naturally.
- Real-time Interaction: Ensured that the bot provided immediate, relevant responses, creating a smoother and faster user experience.
- API Integration: Integrated the bot with third-party APIs to fetch data, such as product details, availability, and real-time updates, allowing the bot to handle a broader range of queries.
- User Interface Design: Created a clean, intuitive interface for the bot, ensuring it was responsive and user-friendly across all devices.
- Analytics and Reporting: Incorporated tracking tools to monitor bot performance.
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