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Scenario-Based Chatbot Prototype & Dialogflow Feasibility

Services Covered:

AI and Machine Learning • Custom Software Development
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Industry
Industry

Information Technology

Duration
Duration

4 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 September 2024

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Kaopiz is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

mapSingapore, Singapore

Project Summary

KAOPIZ SOFTWARE developed a scenario-based chatbot prototype for a Singapore-based IT consulting company, using Python with a Flask backend and Google Dialogflow for feasibility testing. The team delivered the prototype, a comprehensive feasibility report, and recommendations for future AI integration. The solution was hosted on AWS and the vendor delivered on time with clear communication and strong technical and strategic insight.

Key Challenges

  • Develop a chatbot solution in a phased approach
  • Build a functional chatbot for Phase 1 based on predefined scenarios
  • Conduct an in-depth analysis of Dialogflow to determine suitability for Phase 2 focused on AI integration

Project Deliverables

  • Chatbot prototype
  • Comprehensive feasibility report
  • Recommendations for future AI integration

Project Solution

Kaopiz developed a scenario-based chatbot to handle predefined customer interactions. They built the backend in Python with Flask for API integration, used Google Dialogflow for feasibility testing, and hosted the solution on AWS. Deliverables included the chatbot prototype, a comprehensive feasibility report, and recommendations for future AI integration. The team assigned to the project was 2–5 people.

Project Outcome

  • Phase 1 produced a fully functional chatbot prototype capable of handling predefined scenarios effectively.
  • The feasibility analysis provided clear insights and confidence to proceed with Phase 2 focused on AI integration.
  • The vendor delivered on time, maintained clear communication, and demonstrated flexibility and strong technical/strategic capabilities.

Platforms

  • CloudCloud
  • WebWeb
  • AI/ML PlatformAI/ML Platform

Tech Stack

  • PythonPython
  • FlaskFlask
  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)Google Cloud Platform (GCP)

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“KAOPIZ SOFTWARE delivered a functional chatbot prototype that effectively handled predefined scenarios, providing guidance for future AI integration. The team excelled at project management by delivering on time and communicating clearly. Their technical expertise and strategic insight stood out.”

Steve Miura

Managing Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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