BizPilot AI

A production-ready AI operations assistant built with Vercel and Amazon Aurora PostgreSQL to help small businesses discover insights and grow faster.

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Inspiration

Every day, small businesses create valuable data customer purchases, sales patterns, inventory changes, and customer relationships. However, much of this information is still managed through spreadsheets, manual notes, and disconnected tools.

We realized that the problem is not a lack of data. Small business owners already have plenty of information. The real challenge is understanding what that information means and knowing what action to take next.

That idea inspired us to build BizPilot AI an AI-powered business assistant that helps small businesses discover opportunities, identify risks, and make better decisions without needing expensive enterprise software.

What it does

BizPilot AI works as a business operations assistant for small businesses. Instead of only showing charts and numbers, it helps answer important questions: Which customers need attention? Which opportunities are being missed? Where are potential risks appearing? What action should the business take next?

The platform provides:

Customer intelligence Revenue insights Risk detection AI-powered recommendations Follow-up suggestions

For example, if a high-value customer has not purchased in a long time, BizPilot AI does not just display that information. It identifies the opportunity and recommends a specific action, such as reaching out with a personalized follow-up.

The goal is simple: help businesses move from looking at data to making smarter decisions. How we built it

We wanted to build BizPilot AI with a modern cloud architecture that could start as an MVP and grow into a production application.

We used Vercel v0 and Next.js to rapidly develop a polished and responsive user experience while maintaining a clean code structure.

Our technology stack includes:

Next.js for the application framework TypeScript for reliable and maintainable code Tailwind CSS and shadcn/ui for the user interface Next.js API Routes for backend communication Amazon Aurora PostgreSQL as the production-ready database foundation

We designed our data architecture around real business entities:

Customers Orders Products Business Insights

The current MVP uses a lightweight recommendation engine to demonstrate the AI workflow. The application structure is designed so this can evolve into a full production system powered by Amazon Aurora PostgreSQL.

Challenges we ran into

One of the biggest challenges was deciding what to build within a limited hackathon timeframe.

With AI-powered applications, it is easy to keep adding features. We had to stay focused on solving one meaningful problem instead of creating a collection of disconnected features.

Another challenge was balancing development speed with engineering quality. AI-assisted tools helped us move quickly, but we still wanted to maintain clean components, clear data structures, and an architecture that could scale beyond a demo.

Accomplishments that we're proud of

We are proud that BizPilot AI is more than a static analytics dashboard.

The application does not just show business metrics — it helps interpret them and suggest possible actions.

Some things we are especially proud of:

Turning an idea into a working business intelligence prototype Creating a scalable architecture designed around Amazon Aurora PostgreSQL Building an AI recommendation workflow without relying on expensive external APIs Creating a polished SaaS experience using Vercel v0 Keeping the application lightweight, maintainable, and easy to deploy

What we learned

This project showed us how modern development tools can accelerate product creation while still allowing us to focus on engineering fundamentals.

Vercel v0 helped us quickly explore and build the user experience, while designing around Amazon Aurora PostgreSQL helped us think about scalability and real-world production requirements.

The biggest lesson we learned is that successful products are not always about having the most features. They are about solving a real problem in a simple and useful way.

What's next for BizPilot AI

The current MVP is just the beginning.

Future improvements include:

Connecting with real business systems such as POS and CRM platforms Automated customer communication Predictive sales forecasting Industry-specific AI recommendations Real-time analytics powered by production data

Our long-term vision is to make powerful business intelligence accessible to small businesses that traditionally cannot afford enterprise-level tools.

Built With

  • ai
  • amazon-aurora-postgresql
  • aws-cloud-architecture
  • next.js-app-router
  • next.js-serverless-api-routes
  • react
  • recommendation
  • rest-api-design
  • rule-based
  • shadcn/ui
  • tailwind-css
  • typescript
  • typescript-data-models
  • vercel-platform
  • vercel-v0
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