Data Analytics Driven Automation
Analytics in Action:
Immediate ROI
Logistics Automation for a Global Luxury Brand
Delivering Immediate ROI Through Freight Automation
A leading luxury fashion brand under a major global retail group was struggling with time-consuming manual processing of freight documentation for their 2,000+ annual shipments into the EU and UK. Calimere Point delivered a tailored automation solution using our CPRA Cloud platform that completely transformed their customs documentation process in less than 4 weeks, resulting in significant cost savings and operational efficiency.
Intelligent Automation
Industry: Retail & Logistics
Key Challenges
Data Solution
How Did We Do It?
Calimere Point developed a complete end-to-end solution that fully automated the process. We immersed ourselves in the client's operational workflows to understand their requirements and used our analytical process to identify pain points. Based on this comprehensive assessment, we built a bespoke system by combining a series of component logic sets that addressed their specific needs.
1. Automated Email Integration System
We implemented an intelligent email monitoring solution that automatically identifies and processes shipment-related communications. The system detects relevant emails, extracts attached documentation (certificates of origin, airway bills, packing lists, etc.), and organises them in a structured digital repository with appropriate naming conventions based on shipment references and dates.
2. Document Assessment Process
We built a Python-based system that automatically classifies client email attachments by analysing content, patterns and metadata. Using machine learning, it identifies document types (certificates, airway bills, packing lists) and routes them to appropriate processing modules — extraction and unstructured documents to OCR/AI processing — optimising document handling efficiency.
3. Structured Data Treatment
The freight forwarder's spreadsheet runs through a data analytics process that harvests relevant information and performs automated checks and calculations on the structured data inputs.
4. Unstructured Data Treatment
For unstructured shipment data (certificates of origin, house airway bills, etc.), we applied cutting-edge optical character recognition (OCR) functionality to extract text from these documents. Then, using AI/LLM functionality, we accurately identified and extracted key data attributes from each document type.
5. Data Integration and Processing
The outputs from both structured and unstructured data processes are combined via our data analytics process, which produces a structured output containing complete data for submission to the customs and excise portal with calculated duty payable on each shipment.
6. Database Storage
All key shipment attributes from both structured and unstructured sources are written to a database, creating a comprehensive repository of shipment information.
7. Data Visualisation
The outputs from both structured and unstructured data processes are combined via our data analytics process, which produces a structured output containing complete data for submission to the customs and excise portal with calculated duty payable on each shipment.
This modular approach allowed us to rapidly develop and deploy the solution while ensuring each component performed its specific function optimally within the overall system.
Manual Paperwork Is Strangling 70% of Logistics Companies in the Post-Brexit Era
According to a 2023 McKinsey report, approximately 70% of logistics companies still rely on manual processes for at least some portion of their documentation workflows. For businesses managing complex international supply chains, this creates a perfect storm of inefficiency, especially in the post-Brexit regulatory environment where customs documentation requirements have become increasingly complex.
Results and Benefits
- Rapid implementation: Complete solution delivered in under 4 weeks
- Zero operational disruption: Seamless integration with existing workflows and systems
- Tailored approach: Custom-built to the client's exact specifications
- No infrastructure investment: Leveraged our CPRA Cloud platform instead of requiring new hardware or software
- Cost-effective subscription model: Converted capital expenditure to manageable operational costs
- Ongoing support: Continuous monitoring and enhancements as part of our managed service
- 100% automation: Eliminated manual document processing completely
- Faster processing: Reduced documentation processing time from hours to minutes
- Significant cost reduction: Substantial savings in labour costs through automation
- Improved accuracy: Eliminated human error in data extraction and customs calculations
- Enhanced visibility: Management gained real-time insights into shipment flows and costs
- Scalability: System easily handles seasonal volume fluctuations without additional resources
- Regulatory compliance: Ensured accurate and consistent customs documentation
- Strategic resource allocation: Staff reassigned from data entry to higher-value activities
- Military-grade security: Protected sensitive shipping and product data with quantum-resistant encryption
- Process automation: Eliminated repetitive manual tasks through intelligent scheduling and orchestration
- Scalable architecture: Easily handles growing shipment volumes without performance degradation
- Compliance built-in: Met all data security and privacy requirements by default
Luxury Retail Transformed: Delivering Immediate ROI
This luxury fashion logistics automation project demonstrates Calimere Point's ability to deliver transformative business value through intelligent automation and our CPRA Cloud platform. By focusing on the client's specific challenges and seamlessly integrating with their existing operations, we provided an immediate ROI while positioning them for long-term operational excellence.
Our approach — combining deep domain expertise with cutting-edge technology in a flexible, affordable delivery model — created a solution that exceeded expectations and established a foundation for ongoing innovation.
To recap what it took:
