Case Study

HALE Electronic

From complex regulations to digital tariffs: AI automation for Hale
Automotive / Taxi technology
Ergebnis
Partial automation of tariff programming & massive time savings
Herausforderungen

The "PDF bottleneck"

Previously, legally complex tariff regulations had to be manually analyzed by specialists to extract parameters for programming. With the new AI solution, these documents are now automatically read, structured, and prepared for the system.
The impact

Results & benefits

HALE is a leading international manufacturer of taximeters and system solutions. The core of their products is the precise implementation of regional tariff regulations worldwide. Previously, manually reading complex PDF regulations required a massive amount of personnel resources.

Time-to-market: < 3 months

Project realization as an MVP at a fixed price in record time.

Multiplied efficiency

Massive acceleration compared to the manual effort of up to 2 FTEs previously.

Error reduction

Maximum precision through AI-supported data extraction directly from the source.

Digital pioneer role

HALE strengthens its position as a technology leader through modern AI integration.
Martin Macheiner
CTO VIABIRDS
Unsere Rolle
"The use of large language models allows us to transform unstructured PDF data into precise system parameters in seconds. For HALE, this means not only time savings, but a completely new level of scalability in tariff management."
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