Despite having basic data, our apparel manufacturing client required a faster, more efficient processing method to address gaps, margins, and revenues while reducing SKUs per shipment. They needed multiple daily processing rounds to meet these goals.
Key challenges
Manual scheduling led to inefficiencies
Real-time tracking for timely deliveries
Need for faster data analysis
The solution
Optimization and data management
AI-driven insights for smarter decisions
Flexible load planning with adjustments
SKU prioritization for efficient loads
Scenario planning and load optimization
SKU-based load recommendations
Multi-objective load optimization
Data review for better decisions
1
Discovery and understanding
Conducted in-depth discovery sessions
Identified client’s unique challenges
Ensured a tailored solution approach
2
Optimization and flexibility
Applied optimization techniques
Overcame constraints to meet business goals
Enabled customizable load planning with SKU edits
3
Continuous improvement
Captured data from each task for review
Empowered data-driven decision-making
Enabled performance analysis
Efficiency gains
Helped to reduce complaints and less manual input
Helped in faster decisions, saving hours
Streamlined processes
Enhanced user experience
Helped improve system usability
Helped in simplifying workflows
Support in higher user satisfaction
Time and cost savings
Help reduce decision-making time
Help reduce errors through automation
Support to lower costs from efficient processes
Future growth
Scalability of solutions for expanding business needs
Continuous innovation
Ongoing improvements through data-driven insights
Long-term efficiency
Sustained operational efficiency with evolving technologies
