Case Study · Logistics & Fleet

Transport Operations AI Chatbot

Fleet operations · Agent orchestration · Tool usage · Scorecards · Payroll and schedule queries

The challenge

Operations answers were trapped in people and spreadsheets.

Slow query resolution

Dispatchers and managers relied on calls, emails and spreadsheets to answer routine fleet and performance questions.

Scattered data

Operational context lived across documents, dashboards, databases and local scorecards.

Low scalability

Manual handling could not keep pace as operations grew and question volume increased.

Communication drag

Slow access to information delayed decisions and weakened coordination between teams.

What we built

An orchestrated AI assistant for operations.

Agent orchestrator

An orchestrator routes each user question to the right agent and tool path.

Centralized data access

Agents query databases, documents, scorecards and dashboards through governed tool use.

Policy guardrails

Authentication, rate limiting, request logging and prompt guardrails keep the assistant inside the operating boundary.

Future-ready architecture

Modular FastAPI infrastructure supports future alerts, integrations, tracing and CI/CD.

Results

Operational answers became instant.

100+

Daily operational queries handled without delay.

Instant

Fleet, payroll and metrics answers from one interface.

Modular

Designed for alerts and additional integrations.

Lower load

Reduced manual lookup burden on dispatchers.

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