Transform Your Idea

AI-Powered Business Chatbot with Integrated CRM

Client: Leader in automotive component distribution
Expertise:
Tech Stack:
Backend
Hangfire
Redis
NET
Entity Framework
RabbitMQ
PostgreSQL
Elasticsearch (NEST)
QA
A U.S.-based leader in automotive component distribution that sought to modernize its operations by providing its network of service stations with smarter, more efficient tools for managing contracts, tracking purchases, and streamlining daily operations. The client aimed to leverage cutting-edge AI technology to enhance their partners’ productivity and improve user engagement.
About the Client:
The client envisioned an AI-powered chatbot that would serve as an intelligent business assistant for service stations. The chatbot’s primary objective was to simplify workflows, provide real-time access to critical data, and offer advanced features such as predictive analytics and voice interaction.
This solution needed to integrate seamlessly with the client’s internal systems and external microservices, while being scalable, secure, and user-friendly.
Project Overview

Challenges & Objectives

The project involved solving several key challenges to achieve the desired business goals:
  • AI Capabilities: Embedding machine learning for predictive data insights and intelligent response generation.
  • Data Integration: Aggregating and synchronizing data from multiple systems to deliver accurate, real-time updates.
  • Scalable Architecture: Building a flexible foundation to support future features and integrations.
  • Enhanced Usability: Incorporating voice recognition and interactive CRM forms to improve user accessibility.
  • Security & Compliance: Ensuring robust data protection and adhering to industry security standards.
Implementation
The development process was executed in multiple phases with a focus on AI and user-centric design.
01
AI-Driven Architecture:
  • Designed the chatbot to leverage AI for real-time response optimization and predictive data insights.
  • Integrated natural language processing (NLP) for human-like interactions and smarter query handling.
02
Seamless Data Integration:
  • Built an API layer connecting the chatbot to internal microservices and external systems for contract management, analytics, and training modules.
  • Developed a QR code-based system for seamless user onboarding.
03
Interactive Features:
  • Integrated web-based CRM forms into the chatbot to enable contract management, purchase tracking, and data analysis directly within the chat interface.
  • Implemented voice recognition capabilities for hands-free interaction and enhanced usability.
04
Scalability & Security:
  • Used modular design principles to ensure the solution could scale with new features and user demands.
  • Implemented advanced security measures, including OAuth 2.0 and end-to-end encryption.
05
User Experience Optimization:
  • Designed a clean, intuitive interface compatible with both mobile and desktop devices.
  • Enabled smart notifications and real-time updates to keep users informed and engaged.

Outcomes & Business Impact

The AI chatbot delivered measurable improvements in efficiency and user engagement:
  • AI-Enhanced Efficiency: Intelligent data processing and predictive analytics helped service stations reduce administrative burdens and save time.
  • Real-Time Insights: Users gained instant access to contract statuses, purchase volumes, and performance metrics.
  • Enhanced User Experience: Voice recognition, interactive forms, and predictive capabilities created a seamless, hands-free experience.
Scalability for Growth: The chatbot’s architecture supports future AI features and integrations, ensuring long-term adaptability.
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