AI & Generative Tech · Logistics
Smart Warehouse Management System
AI-powered warehouse management system with automated inventory tracking, robotic integration, and predictive analytics. Increased warehouse efficiency by 35% and reduced picking errors by 80%. Handles 100,000+ SKUs across 20 warehouses. The platform uses computer vision for inventory counting, machine learning for optimal picking paths, and predictive analytics for demand forecasting. Features include automated picking systems, real-time inventory visibility, quality control automation, and integration with robotic systems. Our solution reduced order fulfillment time by 40%, improved inventory accuracy to 99.5%, and decreased labor costs by 30% through intelligent automation and optimization.
- Client
- WarehouseAI Logistics
- Sector
- Logistics
- Scope
- AI & Generative Tech
- Timeline
- 10 months
What we built
35% efficiency increase, 80% error reduction, 100K+ SKUs, 20 warehouses, 99.5% inventory accuracy, 40% faster fulfillment
Before: Real-time inventory tracking accuracy
After: Implemented computer vision for inventory
Before: Integrating diverse robotic systems
After: Built unified robotics integration framework
Before: Optimizing picking paths at scale
After: Developed ML-based path optimization
Before: Handling large SKU volumes
After: Created scalable inventory management system
Before: Ensuring system reliability
After: Designed fault-tolerant architecture
Also in the build
- Automated inventory tracking
- Robotic system integration
- AI-powered picking optimization
- Real-time inventory visibility
- Predictive demand forecasting
- Barcode and RFID scanning
- Mobile apps for warehouse staff
- Integration with WMS/ERP
- Automated reporting
- Quality control workflows
- Multi-warehouse management
- Performance analytics
The stack behind it
Delivered over 10 months.
Technologies
Python · TensorFlow · React · Node.js · PostgreSQL · Redis · MQTT · AWS · Docker · Kubernetes · Computer Vision · Robotics APIs · Elasticsearch · Grafana · Apache Kafka
Built with
The Digiboffins services we worked through. Each one you can start with on its own.
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