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Robotics business intelligence solutions

See every robot's true impact on your bottom line

You've invested millions in robots. Kevin's Kinetics turns telemetry, production data, and finance records into decisions your operations team can act on.

Role-specific dashboards show where output is gained, where downtime costs you, and which assets deserve attention next.

Fleet command view

Operational clarity in one place

Connected assets1,248
Live data quality99.2%
Priority alerts07
+15%OEE improvement reported after focused action
-20%Downtime reduction through earlier intervention
3 moAverage ROI period for dashboard implementation

Robotics performance dashboards

Beautiful, actionable dashboards built for your team

A CFO needs payback by asset. A maintenance lead needs the next likely failure. Each view puts the right measure in front of the person who can change it.

Operations view

Throughput control

Real-time OEE, cycle variance, and fault location by line.

Maintenance view

Failure readiness

MTBF 842hMTTR 19m

Executive view

Asset economics

$2.84m

Tracked annual contribution across 186 robots

Quality view

Process confidence

First-pass yield
97.8%
Defect rate
1.4%

Robot KPI analytics

Comprehensive BI capabilities

The data model follows your decisions. Open a capability to see how it supports daily work.

KPI design workshop

We define measures around throughput, quality, labour, and asset cost. Frameworks can align with SIRI and ISO 22400-1.

Predictive analytics

Machine-learning models flag likely failures and bottlenecks before they become a shift-level problem.

Automated reporting

Schedule clear reports for shift handovers, plant reviews, finance packs, and board meetings.

Drill-down analytics

Move from fleet totals to site, line, robot, task, or individual joint without losing the business context.

Alerts and notifications

Send threshold alerts through SMS, Microsoft Teams, or email so the right owner sees the issue quickly.

ROI tracking dashboards

Compare payback, utilisation, and cost per operation across assets, sites, and investment periods.

Industry-specific intelligence

BI frameworks for your industry

Manufacturing

Make cycle time visible

Track machine utilisation, cycle time variance, and scrap-rate correlation by cell. Plant leaders get a clear route from a missed target to the cause behind it.

Priority measures

Machine utilisation86.4%
Cycle variance4.8%
Scrap correlation0.71

AI-driven operational insights

Leaders who transformed decision-making with our BI

"I can finally present the exact ROI of our AMR fleet to the board. The monthly review now starts with evidence instead of estimates."

Esb Mala

CFO, regional logistics firm

A practical planning estimate

What is the cost of not having robotics BI?

Adjust three inputs to estimate the annual exposure created by unplanned downtime. Use the result to frame a data review with your operations and finance teams.

Estimated annual exposure$1,065,600

A focused dashboard can expose the largest losses first, then track the effect of each corrective action.

A clearer operating picture

See your robots through our lens

Book a 30-minute live demonstration using anonymised data similar to your environment. We'll build a sample dashboard after the session for your team to review.

Clear answers for your data team

BI solutions FAQ

Yes. We can shape the data model and dashboard experience for Power BI, Tableau, or an existing internal reporting stack.
Refresh intervals depend on the source system and decision. Critical operations views can use near-real-time feeds, while finance and trend reports may refresh on a scheduled cadence.
During consultation, we document your security requirements, hosting preferences, access controls, and audit needs before recommending an infrastructure pattern.
Yes. Analyst training covers governed metrics, dashboard editing, filters, permissions, and practical ways to validate a new view.
The architecture can be planned for large, multi-site fleets. We assess event volume, retention, source systems, and reporting latency during technical discovery.