Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Brazil's largest rail logistics operator manages over 1,700 active train drivers navigating more than 14,000 kilometers of tracks across the country.
Train drivers carried four kilograms of printed operational manuals and faced significant delays when seeking information. Answering a procedural...
“If a document is outdated, I would have to print it for 1,700 train drivers, each with at least four pages.”
Rumo's Frontline knowledge search is part of this use case:
Rail freight and logistics operator managing railway networks and terminals in Brazil.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Searching 4kg of paper manuals forced drivers to stop trains. Now, they query a secure AI assistant for instant, validated answers.
Brazil's largest rail logistics operator manages over 1,700 active train drivers navigating more than 14,000 kilometers of tracks across the country.
Train drivers carried four kilograms of printed operational manuals and faced significant delays when seeking information. Answering a procedural...
“If a document is outdated, I would have to print it for 1,700 train drivers, each with at least four pages.”
Rumo's Frontline knowledge search is part of this use case:
Rail freight and logistics operator managing railway networks and terminals in Brazil.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Tracking freight required manual portal searches. Now, an AI assistant instantly retrieves real-time shipment data across backend systems.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Answering a single question meant manually searching dozens of PDFs. Now, finance teams use an AI assistant to instantly compare clauses.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Drug developers lost days hunting for research across scattered PDFs. Now, they query an AI agent for instant answers, accelerating R&D.
Rate limits capped geocoding at 2,000 requests/min. A fine-tuned LLM now clears 8,000/min—cutting costs by 80%.
Manual processes bottlenecked 34 ports and 270 vessels. Now, employees deploy AI agents to balance containers and optimize fleet speeds.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.