The AI-Powered Operations Management Platform Redefining Supply Chain Efficiency
Operations management platform / 20-months engagement / 3-person team
[Cover image]
About the project
The client is implementing an advanced supply chain operations management platform with a multi-tenant architecture, ensuring complete isolation and encryption of customer data. A key highlight of this platform is its AI-driven recommendation system, which analyzes large volumes of data to provide actionable insights.
This system enables factory teams to anticipate bottlenecks, respond quickly with data-driven recommendations, and collaborate effectively across departments. By leveraging artificial intelligence, the platform improves decision-making processes, optimizes inventory management, and enhances overall operational efficiency.
​
BACKEND
Python
Flask
FastAPI
Pandas
DATA
GraphQL,
PostgreSQL
Elasticsearch
InfluxDB
AI/ML
Python
PyTorch
CLOUD
Docker
Azure VM
GitLab CI/CD
FRONTEND
React
Typescript
WebSockets
Playwright
Airflow
Redis
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.
This unified data repository enables teams to identify real-time planning gaps and maintain alignment on key business priorities.
Search, Filtering, and Sorting Tools
The platform features a global search system, allowing users to quickly locate specific information across different data types.
Whether it’s a comment they left but can’t remember where, a specific part, or any other relevant data, the search engine efficiently retrieves results.
Bottlenecks Anticipation
The platform provides predictive monitoring capabilities that allow teams to visualize potential bottlenecks before they impact production.
By offering granular information about each disruption, the company enables proactive management of issues and mitigates component shortages, production delays, and supply chain disruptions.
Cross-Team Collaboration
The platform facilitates streamlined, cross-functional collaboration by centralizing all interactions with real-time updates.
Teams can quickly escalate issues with contextual information, coordinate mitigation actions through tiered meeting reviews, and ensure everyone remains aligned with the planning schedule, such as creating chats around specific components.
AI Solutions
Forecasting
The platform leverages AI to forecast demand and synchronize supply chain activities to avoid parts shortages while optimizing inventory levels. This solution ensures that necessary components are available, reducing downtime and excess inventory costs.
Customer support enhancements
Intelligent monitoring
Intelligent Assistance
By ensuring timely deliveries and improving customer satisfaction, implemented AI solutions help teams monitor order statuses and address potential delays proactively. This results in better alignment with customer expectations and stronger relationships.
The company provides predictive monitoring capabilities that allow teams to visualize potential bottlenecks before they impact production. By offering granular, contextual information about each disruption, the platform enables proactive management of issues such as part shortages and capacity constraints, thereby increasing planning adherence.
Leveraging AI-driven insights, the platform prioritizes high-impact disruptions and recommends corrective actions. Users can run instant simulations on new scenarios to make informed trade-off decisions, enhancing the agility and responsiveness of factory operations.
How it works
[Image with scheme]
