Anonymized Success Stories
Real process mining projects that drove measurable business improvements.
UK National Courier Service
The Challenge: Delivery delays in the final mile despite on-time sortation at regional hubs. Customer complaints increased 23% over six months despite meeting sortation targets.
Our Analysis: Event logs revealed a consistent 6-hour handoff gap between regional hubs and local depots. The delay wasn't in sortation—it was in the transition from hub to local delivery networks.
Result: Shifted the final sortation schedule by 2 hours earlier. This simple change reduced final-mile delays by 34% and improved customer satisfaction scores from 3.2 to 4.1 out of 5.
Implementation time: 3 weeks | Investment: Schedule change only | ROI: £2.3M annual savings
NHS Trust - Patient Referrals
The Challenge: Patient referral-to-treatment timelines exceeded NHS targets by an average of 12 days. Clinical staff believed the bottleneck was in specialist appointments.
Our Analysis: Conformance checking showed 43% of referrals took an unplanned detour through administrative review that wasn't part of the intended pathway. This review added no clinical value.
Result: Removed the unnecessary administrative review step for standard referrals. Average referral-to-treatment timeline reduced by 8.3 days, bringing performance within NHS targets.
Implementation time: 6 weeks | Investment: Process change only | Benefit: 1,200 patients per month affected
East Midlands Manufacturing Plant
The Challenge: Machine downtime was 18% above industry benchmarks. Management suspected equipment reliability issues and planned significant capital investment in new machinery.
Our Analysis: Process enhancement analysis identified a recurring 15-minute setup delay between batch changeovers during shift handoffs. Night and day shifts used different setup procedures.
Result: Standardised shift handover procedures and pre-positioned setup materials. Machine downtime reduced by 21% without any capital expenditure on new equipment.
Implementation time: 4 weeks | Investment: £12k training | ROI: £340k annual savings vs. planned equipment replacement
Midlands Credit Union
The Challenge: Loan approval process took 11 days on average, twice the target timeline. Loan officers reported excessive documentation requirements and multiple approval layers.
Our Analysis: Event log mining revealed that 67% of applications underwent two separate credit checks—one automated, one manual—with the same outcome. Manual checks were only adding delay, not value.
Result: Eliminated duplicate manual credit checks for standard applications under £25k. Average approval time dropped to 6.5 days, saving 3 hours of processing time per case.
Implementation time: 5 weeks | Investment: System configuration | Benefit: 350 additional applications processed monthly
