REFERENCES
No glossy slides — processes that have run every day since go-live. Out of respect for our clients we name the industry and the project, but not company names. With Prakti we also show a product of our own in pilot stage — the same way of working, tried on ourselves. The thread stays the same: keep what works and connect it with modern technology.
CASE STUDIES
Eleven detailed case studies — from the situation through our approach to the outcome in day-to-day operation.
A web app that connects open, delegable work with available intern capacity: with approvals, a quality gate and verified activity records – but without surveillance and without rankings. From idea to a publicly explorable demo in one week, built AI-assisted and specification-driven.
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Colour-coded paper travelers mirrored digitally rather than replaced: the same geometry on large touch monitors — and production data lands in the ERP in real time instead of only at the end of the shift.
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A modern customer portal on top of a closed flat-file system — without touching production's well-drilled terminal workflows. The data bridge syncs in the background.
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The plants' home-grown Excel tools weren't scrapped but turned into a data source: a cloud pipeline brings four sites together into one shared forecast.
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Instead of rigid forms, a single line of text: technicians type their usual shorthand gibberish, and a parser automatically translates it into clean records in the asset register.
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The chief engineer's home-grown spreadsheet stayed the calculation engine — wrapped behind an API and a web assistant that sales can operate safely too.
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Mechanical looms from the 1980s read digitally without conversion: OEE metrics and fault alerts in real time — without changing a single move on the shop floor.
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Computer vision as an assistant, not a replacement: the system flags microscopic material defects, the inspectors keep the final word — and customer complaints dropped to zero.
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A tightly bounded AI assistant searches four decades of technical documentation and always shows the exact original page — diagnosis time in the field dropped from around 45 minutes to under half a minute.
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Algorithmic optimization with a “Manual Lock” for human intuition: planning effort fell from twelve hours a week to under a quarter of an hour — without tearing apart the well-drilled teams.
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Predictive analytics as an early-warning panel, not an automatic buyer: the system warned three weeks before a major freight delay — the purchasing decision stayed with the human.
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Compact references from more than a decade of project work in manufacturing, trade and industry.
Customers track the repair status online — without any change to the familiar workshop workflow.
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Vulnerable file servers moved into a secure cloud — with the exact same folder structure grown over years.
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Mobile barcode scanning in the warehouse — as a lean web overlay right on top of the existing SAP installation, without touching the core.
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Hand-drawn design sketches measured digitally rather than replaced — all the way to a machine-ready CNC cutting ticket.
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A real-time view of furnace temperatures and cycles — derived passively from sensor data, with no extra effort for the furnace operators.
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Weights travel automatically from the serial industrial scale into the web inspection form — the proven weighing technology stays in use.
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An AI nesting engine suggests optimal cut layouts — the cutting masters keep the final word over every hide.
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An upstream Redis cache brings load times on the assembly-line screen from seconds to milliseconds — without touching the central database.
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Instead of scrolling through test logs for hours, the technicians read the three most likely fault causes straight from the log — with a jump to the right spot.
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International supplier invoices and shipping papers are read automatically and presented for review in the familiar booking layout — the team checks instead of retyping.
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An anomaly model monitors the conveyor belts' vibration data and reports impending failures around 48 hours ahead — as a plain email straight to the maintenance manager, with no new dashboard.
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Between CAD engineering and production planning lay a communication gap. An automatic sync bridges it — without either department having to switch tools.
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An assistant proposes a staffing plan for the assembly lines each morning — the plant manager overrides it with one click and keeps the final decision.
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An AI forecasting service places energy-intensive melting runs into low-tariff windows — strictly around the fixed shift times, without touching a single roster.
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New apprentices ask in natural language and get step-by-step instructions with a link to the original source — the knowledge grown over two decades stays exactly as it is.
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