The client was a high-net-worth private investor based in Germany with a successful prior exit. Over more than 30 years, he had developed a highly disciplined, rules-based investment methodology focused on commodities and pricing signals. Despite the sophistication of the methodology itself, it existed only as fragmented, error-prone Excel spreadsheets.
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The client is a well-established, multi-award-winning commercial cleaning company based in Copenhagen, Denmark, and operating exclusively in B2B markets. The immediate trigger for this project was a newly secured contract with a major food-industry customer operating a single, exceptionally large and operationally complex site.
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The client was a boutique consultancy whose core strength lay in advanced Excel models, complex financial logic, and highly refined spreadsheet-based workflows. As project complexity increased, the consultancy required capabilities beyond Excel alone.
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The client was an established architectural design firm with employees producing bespoke architectural drawings for projects.
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The client was a long-term German customer relying on Excel as a de facto CRM for managing thousands of client and prospect records accumulated over many years.
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The client operated in a highly niche segment of the electronics industry, providing specialized reference information accumulated over more than 20 years.
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The direct client was a UK-based boutique consultancy specializing in advanced Excel-based systems for individuals and enterprise clients.
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Custom logistics quoting system for a leading freight company in Germany.
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Manual, error-prone financial data extraction replaced by an AI-driven processing pipeline with structured Excel outputs.
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The client is a long-established residential real estate brokerage operating in Germany, with decades of market presence and a parallel rental arm.
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