Processes and organisation
Approval cycle redesigned with process mining on 1,298 real cases: average time from 4 days to 1 (-73%).
Read the case study (in Italian): Process mining
Process optimisation
We map processes as they really run, quantify the cost of inefficiencies and redesign workflows with measurable interventions. Understand first, then act.
Request a proposalSeika Innovation's process optimisation is a consulting service that maps business processes as they actually run (AS-IS), quantifies waiting, rework and manual steps in economic terms, and redesigns workflows (TO-BE) with organisational, digital or automation interventions that deliver a measurable return.
The method combines lean techniques with process mining: logs from ERP, MES and CRM systems are analysed to reconstruct the real process, with all its variants, and observation on the shop floor completes what the data does not show. The most expensive inefficiencies are often invisible because they have become operating habits: the analysis makes them visible and turns them into an action plan with KPIs defined before starting.
Seika Innovation has mapped more than 200 processes in over 60 companies across manufacturing, logistics, construction, healthcare, pharma, finance and retail, from €1 million to over €5 billion in revenue.
The engagement follows four phases, from observing the real process to monitoring results.
01
Direct observation of workflows and process mining on information-system logs. The goal is to reconstruct how the process really runs, with all its variants, not how procedures describe it.
02
Every inefficiency (waiting, manual steps, rework, duplicated activities) is measured and translated into cost. Without quantification there is no priority: we act where the return is highest.
03
Workflow redesign with the sequence of interventions: organisational simplification, digitalisation, automation, AI. Prioritisation with an impact/effort matrix and objective scoring.
04
Support during implementation and monitoring of the KPIs defined at the start: cycle time, on-time delivery, scrap, productivity. Results are measured, not narrated.
On the shop floor, "efficiency" means concrete work: removing time and cost from a flow without removing quality. Interventions focus on where time is really lost, which rarely coincides with where people think it is lost.
Processes and organisation
Approval cycle redesigned with process mining on 1,298 real cases: average time from 4 days to 1 (-73%).
Read the case study (in Italian): Process miningProduction
Changeover times cut by 40% through setup analysis and redesign of production sequences.
Read the case study (in Italian): Efficientamento produttivoLogistics
Load composition automated by matching ERP and shipping data: -30% on loading times, a saving equal to 2 full-time people.
Read the case study (in Italian): Ottimizzazione carichiFAQ
01
It is the systematic analysis of how a process really runs (times, steps, actors, variants) to remove activities that add no value and redesign the flow. Results are measured on concrete KPIs: cycle time, on-time delivery, scrap, productivity.
02
Lean principles remain the foundation: value, flow, waste reduction. Seika Innovation combines them with process mining, which reconstructs the real process from system logs, and with AI and automation as levers for intervention. The analysis is faster and based on complete data, not just on observed samples.
03
Process mining analyses information-system logs (ERP, MES, CRM) to reconstruct the process as it happens, with all its variants and exceptions. It is needed when the process runs through digital systems and you want an objective picture: bottlenecks, rework and waiting emerge from the data, not from opinions.
04
The initial analysis follows the timing of an assessment: typically 4-8 weeks to map and quantify. Interventions are then scaled in three bands: quick wins (0-3 months), projects (3-6 months), transformations (6+ months). The first quick wins start during the analysis.
05
No. Where systems exist, process mining speeds up the analysis; where they don't, we start from observation on the shop floor and from the available data, including spreadsheets. The project also defines how to structure data collection for future control.
06
KPIs are defined before intervening, with a measured baseline: cycle time, on-time delivery, scrap, changeover times, productivity. Every intervention is verified against the baseline, often with a Power BI dashboard that stays with the company.
Seika Innovation
A structured analysis makes them visible and turns them into an intervention plan with measurable returns. We start from the processes, never from the technology.
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