Inspiration
we are inspired by market predictions and how much money companies will be saved if we found new patterns that can predict what will be sold on the future
What it does
our AI-powered IBP platform integrates machine learning, predictive analytics, and digital twin technology to optimize sales forecasting, inventory management, and supply chain execution. By creating AI-driven digital twins for each department (e.g., sales, finance, supply chain, and operations), the system provides:
Accurate Sales Predictions – AI forecasts future sales trends based on historical data, pricing, seasonality, and market conditions. Supply Chain Optimization – Real-time insights help mitigate disruptions, balance demand and supply, and optimize inventory levels. Cross-Departmental Alignment – Digital twins for each function simulate different business scenarios, enabling data-driven strategic decisions. Automated Decision Support – AI-powered recommendations enhance procurement, logistics, and resource planning. Scalability & Customization – Adaptable AI models support various industries and business needs.
How we built it
We built an AI-driven IBP platform with digital twins for each department, using machine learning and predictive analytics to optimize forecasting and decision-making. Our LSTM-based AI models predict sales trends, while the Flask API enables real-time data integration. Digital twins simulate business scenarios, providing automated insights for supply chain, finance, and operations.
To enhance accessibility, we are developing a Next.js website that serves as the front-end interface for users to interact with the AI models, visualize forecasts, and access real-time business insights. The platform supports three-part integration, allowing seamless connectivity with:
ERP Systems – Syncing financial, inventory, and operational data. Third-Party APIs – Integrating external data sources like market trends and logistics providers.
Challenges we ran into
Accomplishments that we're proud of
making it accepts third party integration like crms and erps
and creating ai models
What we learned
a lot from technologies to teamwork
What's next for Omni Mind
We will pass through a phase where we collect data, train our models, and optimize them based on the DZ data. We will then sell our services as a third-party integration for companies, helping them with our solutions by making predictions and assisting them in decision-making.
Built With
- figma
- flask
- jwt
- nextjs
- oauth
- postgresql
- prisma
- restapi
- stripe
- typescript
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