Case studies
A selection of enterprise engagements where we turned complex data challenges into competitive advantage.
500+
Enterprise clients served
98%
Client retention rate
$2.4B
Revenue unlocked for clients
4.2×
Average ROI on AI investments
Featured engagements
The challenge
A multinational retailer was losing $180M annually to overstock and stockouts across 4,200 SKUs in 14 markets. Their legacy forecasting model ran weekly and couldn't account for local demand signals.
Results
34%
reduction in overstock costs
28%
fewer stockout events
$62M
annual savings in Year 1
The challenge
A fast-growing digital bank was experiencing a 2.1% fraud rate on card transactions — three times the industry average — causing $9M in annual losses and eroding customer trust.
Results
99.3%
fraud detection precision
0.04%
false positive rate
89%
reduction in fraud losses
More engagements
A logistics company operating 1,200 vehicles had no unified view of fleet performance, route efficiency, or driver behaviour. Dispatchers were making routing decisions manually using spreadsheets.
18%
reduction in fuel costs
23%
improvement in on-time delivery
3.1×
ROI in first year
A 12-hospital network had a 19% 30-day readmission rate — above the national benchmark — resulting in penalties and avoidable costs. Clinical teams lacked tools to identify high-risk patients before discharge.
31%
reduction in 30-day readmissions
$4.2M
annual cost savings
72h
average time-to-intervention
A B2B SaaS company with 3,200 enterprise accounts was losing 14% annually to churn, with no early warning system. Customer success teams were reactive, only engaging after cancellation notices.
410
enterprise accounts saved in Year 1
61%
reduction in churn rate
10×
ROI on CS team investment
An industrial manufacturer was experiencing $22M in annual unplanned downtime across 6 production facilities. Maintenance was scheduled on fixed intervals, not actual equipment condition.
44%
reduction in unplanned downtime
$9.7M
annual savings
72h
average failure prediction lead time
Work with us
Tell us what you're trying to solve. We'll tell you honestly whether we can help — and what results you can realistically expect.