Logistics & Supply Chain Automation
Data-driven insights for Global Logistics
Data analytics unlocks new levels of visibility and insights for logistics providers, delivering transformative automation to complex supply chains.
Data-driven decisions that eliminate manual processes and deliver immediate ROI.
The hidden costs of manual logistics
Despite technological advancements, 70% of logistics companies still rely on manual document processing (McKinsey), leading to:
- £128M+ in annual UK customs penalties from avoidable errors.
- 15% of logistics budgets wasted on manual data entry and verification.
- 3–5-day shipment delays due to paperwork bottlenecks.
How critical is logistics documentation automation?
Industry data proves this fact with customs paperwork requirements increasing dramatically and creating 8.7 million additional customs declarations annually.
Key Challenges We Solve
Delivering value through logistics automation.
Logistics data analytics is critical in today's highly regulated global shipping environment. By leveraging data insights, logistics providers can make informed decisions about their operations, eliminate error-prone manual processes, and drive significant cost savings. It allows companies to prevent customs delays, meet regulatory requirements, and increase operational efficiency.
And now, data automation is revolutionising analytics in the logistics industry by transforming unstructured documents into actionable data, reducing the time and effort required to process international shipments.
Automated document processing
With the help of our CPRA Cloud platform, logistics providers can automatically process unstructured shipping documents like certificates of origin, airway bills, and packing lists. This eliminates manual data entry and transforms hours of processing time into minutes.
Faster customs clearance
Automated data processing tools can quickly analyse complex shipping documentation and calculate accurate customs duties. This allows logistics teams to submit compliant documentation quickly and prevent costly border delays.
Improved accuracy
Automated data processes are less prone to errors than manual data processing, leading to more accurate customs documentation. This enables logistics providers to avoid penalties and fines that could impact bottom-line results.
Enhanced visibility
Data analytics solutions can provide real-time insights into shipment status and duty calculations. This helps logistics providers improve operational efficiency and give management unprecedented visibility into logistics operations.
Cost savings
Automated logistics documentation can reduce operational costs dramatically, as they require fewer resources than manual processing. According to industry research, labour expenses for document review, verification, and data entry can represent up to 15% of total logistics spending for some organisations.
Typical Logistics Analytics Implementation
- Rapid implementation: Complete solution delivered in under 6 weeks
- Zero operational disruption: Seamless integration with existing workflows and systems
- Tailored approach: Custom-built to exact specifications
- No infrastructure investment: Leverages our CPRA Cloud platform instead of requiring new hardware or software
- Cost-effective subscription model: Converts capital expenditure to manageable operational costs
- Ongoing support: Continuous monitoring and enhancements as part of our managed service
How we're leveraging our knowledge in the logistics and supply chain sector
Use Case on Logistics Analytics
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.
