Data is scattered across ERP, Excel and legacy systems
Data harmonization and a governed BI layer that give every team one trusted version of the numbers.
Should-cost models, teardowns and supply-chain analytics — built into your data stack. KEPLER Advanced Analytics pairs deep industrial domain expertise with data engineering and AI, turning operational data into decisions for procurement, supply chain and operations leaders across Europe, the Americas and Asia.
Anonymized engagements across supply chain, procurement, operations, quality and forecasting.
Real-time control tower unifying ERP, supplier EDI and inventory into one predictive view.
3–5% of addressable spendSpend-to-savings pipeline with should-cost benchmarks tracked through to the P&L.
30% less unplanned downtimeExplainable predictive-maintenance models delivered as work orders, not dashboards.
30% lower forecast errorProbabilistic P10–P90 generation forecasting for bidding and dispatch.
Defects caught weeks earlierField-quality early-warning from technician verbatims and claims against build genealogy.
See the detail →Problem, solution and outcome for each engagement.
The recurring problems we’re brought in to fix, and the KEPLER response to each.
Data harmonization and a governed BI layer that give every team one trusted version of the numbers.
Decision intelligence and workflow integration that turn reports into actions people actually take.
Driver-based forecasting and scenario models that planners understand, challenge and rely on.
Should-cost, VAVE and supplier cost analytics that make cost-out concrete and prioritized.
Production ML/GenAI engineering and monitoring that keep models live, accurate and owned by your team.
Three connected ways we make industrial enterprises truly data-driven.
Strategy, roadmaps and AI readiness that connect every data investment to measurable business value.
Data engineering, cloud platforms, BI and AI/ML that make your data usable, governed and real-time.
Domain analytics across the functions that run an industrial enterprise — in the language of your operation.
Across data strategy, analytics engineering, AI, design optimisation, supply chain and commercial analytics — choose where you need us, or let us connect the pieces end to end.
Should-cost, teardowns and value engineering that take real cost out.
Planning, sourcing and logistics analytics for resilient operations.
ML, GenAI and predictive models built into your workflows.
Sales, marketing and customer analytics that grow revenue.
Data engineering, governance and platforms that make data usable.
MLOps, monitoring and managed analytics that keep models running.
Every engagement leaves your team with tangible, owned assets — the artifacts that keep running decisions after we’re gone.
Defensible part- and product-level cost baselines your buyers take into supplier negotiations.
Driver-based, scenario-ready forecasts measured on bias and error — not optimism.
One trusted set of numbers in Power BI that finance and operations both sign off on.
Consolidated spend and supplier analytics that turn cost-out into a prioritized pipeline.
Monitored, retrainable models deployed into your workflow and owned by your team.
Harmonized, documented data and pipelines that keep the above running every cycle.
Every engagement runs the same trusted path — raw operational signal becomes a decision your teams can act on with confidence.
Batch & streaming pipelines pull data from every source system into a governed landing zone.
The cloud lakehouse cleans, joins and models raw data into an analytics-ready layer.
Predictive, prescriptive and GenAI models score, forecast and reason over curated data.
Governed dashboards and self-service BI put insight in front of every team.
Trusted, real-time insight drives operational and executive decisions — governed end to end.
The same capabilities, contextualized to how your industry runs, what it measures, and where its risks sit.
The big analytics firms lean consumer and finance. KEPLER was built for industry — engineering, manufacturing, process and asset-heavy businesses — and we stay until the solution is live and delivering.
Tell us the decision you're trying to improve. We'll show you how analytics gets you there — and how we'd build it with you.
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