Customer Service Automation · Document Processing · Security and Compliance
However, the company faced significant challenges in managing and sifting through over 100,000 pages of product certifications, research and regulatory data essential for critical decision-making.
Reported impact
OMV achieved measurable business impact on Databricks, including Up to 20% Reduction in time to get the latest product information and corresponding regulatory information; Up to 25x Reduction in overall employee training costs; Central to this mission is sustainable product development, which aims to minimize waste, reduce carbon emissions and promote efficient resource utilization by 2030..
Compounding these data discoverability challenges, OMV struggled to build efficient data pipelines for batch processing. Even though the company was eager to build this knowledge platform to support their International Sales and Marketing team in gaining access to the latest EU regulations and product certifications, the team was hampered by a poor efficiency-to-cost ratio. These constraints, paired with the high costs of overusing vector search units, made it difficult for OMV to meet their sustainability objectives in a cost-effective and timely fashion. OMV chose to leverage the Databricks Data + AI Platform as the core infrastructure for their downstream business operations, enabling them to power data and AI workloads across their organization.
Unstructured documents and reference data lands in Databricks and is transformed into curated datasets
Central to this mission is sustainable product development, which aims to minimize waste, reduce carbon emissions and promote efficient resource utilization by 2030.
Depending on the number of users and system demand, OMV primarily utilized either GPT-3.5 or GPT-4.
However, the company faced significant challenges in managing and sifting through over 100,000 pages of product certifications, research and regulatory data essential for critical decision-making.
Up to 20% Reduction in time to get the latest product information and corresponding regulatory information
Up to 25x Reduction in overall employee training costs
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
At the end of 2023, the OMV Group employed 20,592 people.
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