Restaurant operations dashboard with sales visibility, inventory monitoring, expense tracking, and operational analytics.
Operational analytics dashboard visualizing sales trends, paidout activity, and payment distribution insights.
AI-powered operational audit workflow analyzing suspicious activity, operational risk, and inventory pressure.
Operational investigation workflow identifying recurring anomalies, repeated risk patterns, and business insights.
AI-generated operational intelligence report with risk scoring, evidence-based findings, and recommendations.

Inspiration

Restaurant operators deal with multiple operational tasks every day including inventory tracking, expense management, operational monitoring, and sales visibility.

I wanted to explore how quickly an AI-assisted platform could help create a modern restaurant operations dashboard without building every workflow manually from scratch.

The goal was to create a clean operational assistant capable of helping restaurant operators manage day-to-day business activity more efficiently.

Demo Access

Live Application

YOUR_RENDER_URL

Login Credentials

Username

john brick

Password

John@1339

What it does

Vendora AI is a restaurant operations assistant designed to help restaurant operators monitor operational health and business activity in a centralized dashboard.

The platform includes:

sales monitoring
inventory tracking
low-stock alerts
expense and paidout tracking
operational analytics
AI-generated operational summaries
operational audit workflows

The system helps operators quickly identify operational issues and maintain visibility across daily restaurant activity.

How I built it

I used AI-assisted workflows and rapid iterative design approaches to prototype and refine dashboard layouts, operational workflows, and restaurant management experiences.

The project combines:

operational analytics
AI-generated operational summaries
modern SaaS-style dashboard design
operational alert systems
business management workflows

Additional technologies used include:

Django
Python
MongoDB Atlas
Gemini 2.5 Flash
Render

Challenges I ran into

One of the biggest challenges was balancing operational complexity with usability.

Restaurant management systems can become visually overwhelming very quickly, so a large amount of effort went into simplifying the dashboard experience while still keeping the platform information-rich and actionable.

Another challenge was designing operational workflows that felt cohesive, intuitive, and visually clean.

Accomplishments that I'm proud of

Built a functional restaurant operations assistant
Created a production-style SaaS dashboard
Implemented AI-powered operational summaries
Built operational analytics and alert workflows
Added downloadable operational audit reports
Successfully deployed the platform publicly

What I learned

This project reinforced how quickly operational business applications can evolve through iterative AI-assisted workflow design and rapid product refinement.

It also highlighted the importance of operational UX, dashboard hierarchy, and actionable analytics when building business productivity platforms.