Real-World Document ProcessingSuccess Stories
From overwhelming manual processes and 30,000+ document backlogs to 3x faster throughput and automated workflows - explore how we implement multimodal AI solutions using models like Google Gemini to transform enterprise operations at scale.
Featured Success Stories
Dive deep into our most impactful projects and discover how we tackle complex document processing challenges
Eliminating 30K+ Document Backlog with AI Processing
Intersolia faced a critical 30K+ document backlog across multiple formats PDFs that required manual processing. The existing workflow was consuming excessive resources, creating bottlenecks, and preventing scalable operations.
AI-Powered Product Localization for European Retail
A major European grocery retailer needed to process product specifications from suppliers in various languages and transform them into localized product descriptions for their websites across different countries. The existing process involved multiple people and departments, creating bottlenecks between receiving supplier information and publishing products online.
All Case Studies
Explore our complete portfolio of document processing and AI strategy implementations
Eliminating 30K+ Document Backlog with AI Processing
Intersolia faced a critical 30K+ document backlog across multiple formats PDFs that required manual processing. The existing workflow was consuming excessive resources, creating bottlenecks, and preventing scalable operations.
AI Assistant Discovery: Learning the Limits of Early GenAI
A major coffee chain wanted to explore using AI for personalized customer service on their ordering platform. They envisioned an assistant that could handle order modifications, provide real-time updates, and create personal connections with customers - pushing the boundaries of what was possible with early 2023 GenAI technology.
AI-Powered Product Localization for European Retail
A major European grocery retailer needed to process product specifications from suppliers in various languages and transform them into localized product descriptions for their websites across different countries. The existing process involved multiple people and departments, creating bottlenecks between receiving supplier information and publishing products online.
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