Product Strategy · Document Service Provider
AI Document Processing in a Benchmark
Background
A document service provider operates its own AI solution for document processing, ranging from text recognition to data extraction and dark processing. Three questions remained unanswered. How does it stack up against the major market players? What is the cost per document? And where do the product and sales teams need to focus to drive business growth? An independent benchmark was needed instead of a self-assessment.
Solution
We directly compared the solution with three leading market providers, using 1,030 documents and six key metrics related to quality, efficiency, and costs. It ranked first in accuracy and automation. However, a reality check using our own customer documents revealed three weaknesses. From this, we identified three key areas for improvement: market presence, modularity, and standard interfaces. These are now included in a roadmap, and we are supporting its implementation all the way through to the operational model.
Benchmark and implementation in a single project
Schematic representation · Values from the benchmark
Unabhängig gegen den Markt gemessen
Auf eigenen Kundendokumenten nachgemessen
Drei Hebel abgeleitet und priorisiert
Begleitet bis zum Betriebsmodell
Contact
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