About the Project
Inspiration
Alestra Sales Copilot was created to simplify and improve the sales process through artificial intelligence. Sales teams often need to identify customer needs, recommend the right solutions, gather missing information, and prepare commercial proposals—all while managing multiple tasks. We wanted to bring these activities together in one intelligent tool that helps sales representatives work more efficiently and make better-informed decisions.
What It Does
Alestra Sales Copilot assists sales representatives throughout the customer journey. It analyzes customer conversations, identifies business and technical requirements, suggests relevant products from a catalog, highlights missing information, and helps generate meeting summaries and preliminary commercial proposals.
How We Built It
We developed a web application using Next.js and React, integrating AI services to support customer-needs analysis and conversation transcription. The application connects meeting information with a product catalog to generate recommendations and guide sales representatives toward the next steps in the sales process.
Challenges We Faced
One of our main challenges was connecting AI-generated insights with structured product information to produce useful and relevant recommendations. We also worked on handling missing customer information, validating API integrations, and designing a workflow that remains practical for sales representatives. Testing the application helped us identify integration issues and distinguish between real AI responses and demonstration-mode results.
What We Learned
This project helped us explore how AI can be applied to real business workflows, from analyzing unstructured conversations to supporting commercial decision-making. We learned the importance of reliable API integrations, data validation, clear user experiences, and testing every stage of an end-to-end process.
Future Vision
Our goal is to continue improving Alestra Sales Copilot by strengthening its AI integrations, refining product recommendations, and making proposal generation more accurate. We envision a tool that reduces repetitive work, helps sales teams prepare for customer conversations, and turns business needs into actionable opportunities.
Built With
- api-integration
- artificial-intelligence
- business-intelligence
- data-analysis
- generative-ai
- google-gemini
- groq
- javascript
- natural-language-processing
- next.js
- product
- react
- sales-automation
- web-application
- whisper
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