AI Platform for Forecasting,
Monitoring, and Resolving Supply Chain Disruptions
AI
Flask
GraphQL
Airflow
PostgreSQL
PyTorch
A platform for manufacturers to monitor, analyze, and optimize their supply chain operations in real time.
A key feature is the AI-powered recommendation engine, which processes large datasets to surface actionable insights.
It helps factory teams spot bottlenecks early, respond quickly with smart suggestions, and stay aligned across departments. The result: better decisions, leaner inventory, and smoother operations.
SERVICES
Software Engineering
AQA Services
PRODUCT TEAM
3-person team
Product Features
Data Synchronization
The platform centralizes end-to-end operations data into a single source of truth, eliminating data silos and ensuring seamless synchronization across the entire supply chain.
Search, Filtering, and Sorting Tools
The platform features a global search system, allowing users to quickly locate specific information across different data types.
Bottlenecks anticipation
The platform provides predictive monitoring capabilities that allow teams to visualize potential bottlenecks before they impact production.
Cross-team collaboration
The platform facilitates streamlined, cross-functional collaboration by centralizing all interactions with real-time updates.
AI Solutions
Forecasting
AI-powered demand forecasting and supply chain sync help prevent part shortages, minimize downtime, and reduce inventory costs.
Customer support enhancements
AI solutions help teams monitor order statuses and address potential delays proactively. This results in better alignment with customer expectations and stronger relationships.
Intelligent monitoring
The platform offers predictive monitoring and contextual insights to help teams spot bottlenecks early and manage issues like part shortages and capacity limits proactively.
Intelligent Assistance
AI-driven insights help prioritize critical disruptions, suggest actions, and enable instant simulations for agile, responsive decision-making.
How it works
