Inspiration
IBPower was inspired by a hackathon discussion where the host highlighted the critical role of Integrated Business Planning (IBP) and real-time data monitoring in improving efficiency and economic growth.
In Algeria, many industries still rely on manual planning and disconnected systems, leading to inefficiencies in supply chains, production, and inventory management. The discussion emphasized how AI-driven IBP solutions could transform business operations by:
Optimizing resource allocation – Preventing overproduction or stock shortages. Enhancing supply chain visibility – Providing real-time tracking of goods and operations. Improving decision-making – Using AI to anticipate demand fluctuations and adjust strategies. Boosting industrial competitiveness – Helping businesses scale and compete globally. This inspired us to develop an AI-driven IBP solution tailored to the Algerian market, ensuring that companies can make data-driven decisions, improve efficiency, and unlock new growth opportunities.
What it does
IBPower is a smart Integrated Business Planning (IBP) and Execution platform designed to help businesses:
Predict Demand with AI – Machine learning models forecast sales, inventory needs, and production capacity. Monitor Data in Real Time – IoT sensors track inventory, shipments, and production performance. Automate Decision Support – AI detects operational deviations and suggests corrective actions. Provide Role-Based Insights – Custom dashboards for different departments (Sales, Logistics, Production, Finance). Integrate External Data – Social media, weather data, and market trends refine demand forecasts.
How we built it
To ensure scalability, real-time processing, and AI-driven decision-making, IBPower was built with:
Backend:
Express.js & Node.js for API development and business logic. Python (Django/FastAPI) for AI model integration and data processing. AI/ML Models:
Prophet – Time series forecasting for demand prediction. K-Means – Clustering for segmenting demand and customer behavior. Isolation Forest – Anomaly detection in inventory and logistics. Google OR-Tools – Supply chain optimization and scheduling. Monte Carlo Simulation – Risk assessment and decision modeling. IoT Integration:
Raspberry Pi & Arduino – Real-time tracking of warehouse and logistics operations, including environmental conditions for perishable goods. Database:
PostgreSQL – Structured data storage. TimescaleDB – Optimized time-series data handling. Frontend:
Next.js – Interactive dashboards with server-side rendering. Tailwind CSS – Modern UI/UX design. Recharts/D3.js – Advanced data visualization. Cloud & DevOps
Challenges we ran into
Data Complexity – Managing diverse data sources (IoT, AI, external feeds). Scalability – Ensuring smooth performance with large data volumes. AI Model Accuracy – Refining predictions with real-world data validation. User Adoption – Helping businesses transition from manual to automated planning.
Accomplishments that we're proud of
Built a fully functional AI-driven IBP platform with real-time monitoring. Achieved 85-90% accuracy in demand forecasting. Integrated IoT sensors and GPS tracking into a centralized dashboard. Designed a role-based dashboard to improve collaboration across departments.
What we learned
Real-time data is crucial – Static reports are not enough. AI models require domain expertise – Context matters as much as the algorithm. User-friendly interfaces drive adoption – Simplicity boosts usability. Scalability must be a priority – High data loads require robust infrastructure.
What's next for IBPower
Expanding predictive capabilities with deep learning models. Enhancing ERP and SCM integrations for seamless business operations. Partnering with Algerian businesses to tailor solutions to industry needs
