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Logistics Optimization Drives Cost Savings for Leading Provider of Energy Conservation and Automation Solutions
Success Stories
Translytics' In-House Algorithm Empowered a Major Energy Conservation and Automation Solutions Producer in cost reduction
LOGISTICS OPTIMIZATION
Logistics Optimization Drives Cost Savings for Leading Provider of Energy Conservation and Automation Solutions
Summary
The company is a leading provider of energy conservation and automation solutions for the process industry. For over 75 years, they have been providing innovative solutions to help businesses improve their process and energy efficiency and be more environmentally responsible.They are specialized in products and services for steam efficiency, process optimization, and control and monitoring. With Translytics Inhouse advanced algorithms in Logistics Optimization and Data Analysis, they could realize:
INR 25L + per month
Saving through Freight analysis from only 3 Locations
Areas of Focus
Translytics team collaborated with the organization to understand their pain areas, upon data analysis and further discussion following focus areas were identified.
- FGS (outward), RMS (inward) & OSP freight spend Analysis for multiple locations.
- GAnalysis of transportation data for per unit measurement like - cost of transportation per Kg, cost of transportation as % of invoice value. The calculation be carried out on per month, per customer and per transportation lane basis.
Solution Approach
Translytics analysed transportation data to understand the trends in transportation costs and freight spends for multiple locations. We identified the KPIs and done the benchmarking for Logistics cost. Further reviewed the consolidation policy at different location, using inhouse algorithms we revised the consolidations norms and optimized overall logistics costs.
Impact
- 25L+ Savings were achieved per month from only 3 locations.
- Data Validation and Data Analysis were conducted and the results were shared with the Management.
- Many data improvements were suggested like multiple names for same transporters found, actual delivery dates missing, gross weight entries are missing/ wrong, express, non-express entries wrong.
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