Case study

Predictive maintenance that pays for itself

Early-warning insight that helped plant teams fix issues before they stopped the line.

Client

Demo Industrial Co. (sample client)

Sector

Manufacturing & Industrial

Headline result

−28% unplanned downtime

Timeline

16 weeks

Abstract illustration for the case study: Predictive maintenance that pays for itself

Placeholder case study: client details, figures, and outcomes are illustrative and must be replaced with approved, verified information.

The challenge

A manufacturing & industrial organisation needed to modernise a critical customer journey. Drop-off was high, manual workarounds were growing, and teams lacked a shared view of what success should look like.

Our approach

We started with a short discovery phase: interviews with customers and frontline staff, a review of existing performance data, and a workshop to agree on measurable goals. A small, senior team then designed and delivered improvements in two-week cycles, testing each change with real users.

  • Mapped the end-to-end journey and removed unnecessary steps.
  • Introduced clear progress, guidance, and confirmation at every stage.
  • Gave operations teams a single view of status and exceptions.

The results

Within the first quarter after launch the organisation saw −28% unplanned downtime, alongside higher satisfaction scores and fewer escalations. The client’s own team now owns and continues to evolve the solution.

Services involved

Data & Intelligence

Want results like these?

More work

Let’s talk

Have an idea worth building? Let’s shape it together.

Tell us where you want to go. We will come back within one business day with honest thoughts and clear next steps.