Excel file proliferation
Multiple versions circulating, no single source of truth.
Ghechi Consulting
Operational Excellence & Digital Transformation
Helping industrial companies improve operational performance through Operational Excellence, Manufacturing Engineering, Data Analytics and Digital Transformation.
Experience gained inside leading industrial groups
The data already exists — in the ERP, in the MES, in files that circulate. The problem is not collecting it, it is making it usable and getting teams to actually act on it.
Multiple versions circulating, no single source of truth.
Paper forms, double entry, approvals lost in email.
Deviations are discovered too late to be corrected.
No shared measurement of actual performance.
Hours of expertise consumed by manual consolidation.
Every monthly review demands days of preparation.
Incomplete master data that undermines every analysis.
Approval chains that slow down every decision.
We identify performance losses at their source and address them sustainably, alongside the production teams.
We turn scattered data into reliable indicators that leadership teams genuinely use to decide.
We remove low-value manual work by digitalizing business processes where the return is immediate.
Every engagement follows the same trajectory. A single point of contact carries it end to end — with no handover gap between operational analysis and technical delivery.
Shop-floor immersion, interviews with operators and management, mapping of information flows.
Data quality audit, root cause analysis, quantification of performance losses.
Target definition, selecting the simplest solution that genuinely solves the problem.
Iterative development with end users, validated at every increment.
Production rollout, team training, structured change management.
Results measurement, skills transfer, full client autonomy.
Performance, warehouse stock and incoming inspection dashboards, now the backbone of the area's weekly steering.
Structuring quality data, steering non-conformities and addressing root causes at an oil equipment production site.
Leading process, quality, safety and HSE PFMEA, facilitating cross-functional workshops and coordinating the release of blocked production validation points.
Two business applications replacing paper tracking: first-level maintenance and real-time asset location.
Some needs come back in almost every workshop. We turned them into applications available by subscription, deployable within days.
Safety, Quality, Cost, Delivery and People daily management moves off the whiteboard: history preserved, consolidation across lines and sites.
Single-skill risk detection, certification and expiry tracking, coverage rate per station — instead of a spreadsheet that is never up to date.
Sectors where traceability, quality and safety are non-negotiable — and where every lost hour carries a measurable cost.
High cadence, strict quality, lean flows.
Full traceability, risk analysis, compliance.
Line performance, standardization, continuous improvement.
Critical equipment, maintenance, operational safety.
Fleet management, industrialization, product customization.
Support processes, client reporting, document management.
More than eight years inside industrial environments, including several years in direct production management. We understand a routing, a line stoppage, a capacity trade-off.
No translation layer between the person observing the workstation and the person designing the solution. It is the same person — delays and misunderstandings disappear.
We do not sell a tool. We select the simplest solution that durably solves the problem — sometimes a dashboard, sometimes a process redesign.
A solution that depends on its designer is a liability. We train teams and transfer skills so the solution lives on without us.
We remain technology-agnostic: the stack is chosen to fit the problem and the client's existing ecosystem, never the other way around.
Python
StreamLit AI DEV
A first thirty-minute conversation is enough to qualify your need and identify the most accessible gains.