Business Goals
Our client, a leading manufacturer, faced critical challenges in optimizing their finished goods (FG) logistics while maintaining superior service levels.
Their existing operations presented several pressing challenges:
- Limited technology adoption resulted in dependency on historical routing patterns and manual decision-making, leading to suboptimal fleet utilization and increased operational costs
- The lack of real-time visibility into route performance metrics hindered the identification of efficiency opportunities across their complex distribution network. Also, they couldn’t gain comprehensive visibility of FG movement from source to destination with detailed insights into loss points.
- The need for time-sensitive deliveries in dynamic market conditions demanded an agile, data-driven approach to route planning and execution
Solution
Our approach began with a detailed analysis of the manufacturer’s transportation network, examining delivery patterns, carrier relationships, and operational constraints. This assessment revealed significant inefficiencies in traditional route planning methods that were impacting both costs and service levels.
In close collaboration with the client’s logistics team, we implemented SRMTech’s Road Logistics Module, a sophisticated transportation optimization solution. This transformed their approach from reactive, experience-based decisions to a proactive, data-driven strategy that simultaneously processes multiple operational variables.
The solution was deployed in strategic phases to ensure operational continuity while progressively introducing advanced optimization capabilities. This methodical implementation enabled the client’s team to adapt seamlessly while immediately benefiting from enhanced routing decisions.
Key Highlights
- Developed a comprehensive end-to-end visibility platform featuring real-time fleet tracking and route analytics while maintaining transporter autonomy through non-intrusive monitoring systems
- Created an advanced data integration framework that combines multiple data streams (toll systems, weather patterns, historical performance) to generate actionable routing intelligence
- Implemented a sophisticated machine learning engine that analyzes complex transportation variables to deliver optimal route recommendations, resulting in measurable cost savings and improved delivery accuracy
- Deployed a real-time analytics dashboard with automated reporting and escalation workflows, ensuring perfect coordination between manufacturers, dealers, and transporters throughout the delivery cycle
- Integrated an intelligent, alert system that identifies potential delays proactively and generates alternate routing options automatically, enabling dynamic disruption response
- Built a scalable integration architecture capable of handling increasing transaction volumes while maintaining optimal system performance, ensuring future readiness
Technologies Used
ML engine, Python, SQL, Streamlit
Outcomes
- Achieved a 10% reduction in total logistics costs through AI-driven route optimization
- Delivered a 15%+ increase in fleet utilization, maximizing asset efficiency
- Enabled precise ETA predictions, resulting in seamlessly coordinated supply chain operations
- Attained a 95% on-time delivery rate, significantly enhancing service levels
- Reduced empty miles by 20% through optimized backhaul planning
- Decreased manual intervention by 70%, driving process automation and operational efficiency.
Are you experiencing similar challenges in forecasting, inventory management, capacity planning, or labour productivity? Our expert team would be happy to extend assistance and deploy our solution accelerators to deliver value across your supply chain journey.
Drop in your enquiry here or email us at dpsales@srmtech.com!
