April 2026
Jointine Products Ltd. Case Study
Verified by PUBLIC and the UK Government
This case study is based on independent analysis conducted through the UK–APAC TradeTech programme, delivered by PUBLIC in collaboration with the UK Government. Findings are drawn from real shipment data and validated using a standardised measurement framework.
Overview
- UK exporter Jointine Products shipping advanced manufacturing goods
- Independently analysed and validated by PUBLIC (https://public.io)
- Based on live trade execution, not simulation
- Measures impact across documents, time, and cost
The problem
Trade worked, but it was inefficient
- Heavy reliance on email and PDFs
- Repeated manual data entry
- Documents created and checked in isolation
- Errors found late in the process
“The manual burden was
high and unnecessarily complicated.”
The human impact
For Jane Cullen, Managing Director of Jointine, this was not just an operational issue. It was constant friction in the background of every shipment.
- Time lost to admin instead of customers
- Repeated stress over whether documents were correct
- Late-stage issues that could delay or derail orders
- A system that felt fragile, despite years of experience
Trade was working, but it was draining. Growth meant more paperwork, more coordination, more risk.
What changed was not just speed. It was control.
- Confidence that trades were structured correctly from the start
- Less time chasing documents and fixing errors
- More time focused on customers, production, and growth
For the first time, scaling exports did not mean scaling administrative burden.
It meant running more trades, with the same team, and far less friction.
What was actually wrong
The issue was not regulation
- Compliance requirements did not change
The issue was operational
- Fragmented data across systems
- Duplicate data entry
- Static, document-based workflows
- No shared source of truth
This aligns with UK Government findings on trade friction
What Boex changed
Boex restructured the trade before execution
- Buyers and sellers structured the trade together
- Data entered once and reused
- Documents became structured data
- Validation happened before submission
- All parties worked from a single shared record
Measured results
Independently verified by PUBLIC and the UK Government
Document handling
- 55% reduction in physical document handling
- No change to compliance requirements
- Single source of truth across documents
Document preparation
- 60% reduction in preparation time
- Reduced from 149.5 minutes to 60 minutes
- 75% less manual data re-entry
- 89% fewer emails
Processing time
- 83% faster processing per shipment
- Reduced from 30 minutes to 5 minutes
- Faster, more predictable execution
Financial impact
- £40,535 annual cost savings
- 675 hours saved per year
- £12,800 operational cost reduction
Key insight
The main inefficiency was data fragmentation, not regulation
- Data repeated across emails, PDFs, and systems
- Errors introduced through re-entry
- Fixes made too late
Boex removed this by structuring how data is created and shared
What this means
- SMEs are limited by process, not demand
- Digital trade reduces the cost of compliance
- Businesses can scale without adding admin overhead
- Trade becomes faster, more reliable, and predictable
Conclusion
Behind every shipment was a quiet trade-off Jane had come to accept: time with customers lost to paperwork, growth slowed by processes that never quite held together. Each deal carried a low-level tension. Would the documents line up, would something break late, would this shipment become another fire to put out?
For Jane, Boex is not just changing the numbers. Its lifting that weight. Its removing the constant second-guessing and revealing clarity. The late-night checks disappeared. For the first time, growth is feeling straightforward, not burdensome. The business can move forward with confidence, knowing that more trade no longer means more stress, but instead more opportunity.
Boex did not just digitise documents
- It structured the trade
Result
- Faster execution
- Lower cost
- Fewer errors
- Finance-ready trade