Tookane, a Spanish logistics and distribution software platform, worked with Crata AI on a system that automatically generates operational reports for its clients. From each client's data, the system uses AI to build a diagnostic of their operation, compares it with similar companies in their cohort and recommends actions. Each report is generated in one minute.
A wealth of operational data and the chance to turn it into client value
Tookane is a Spanish logistics and distribution software platform built for companies that run last-mile delivery, whether with their own fleet or with external carriers. The operational data of the logistics companies that use it flows through the platform every day.
With that information, each client could already check their key indicators and track their activity. But that same data had the potential to answer more strategic questions by providing deeper, more contextualized analysis of each operation’s performance.
Building on this opportunity, Crata AI and Tookane designed a new intelligence layer on top of that data. The goal was to expand the value Tookane offers its clients and help them move from knowing their results to knowing how to optimize them.
A system that uses AI to build an operational report for each client
With Crata AI, Tookane implemented a system that automatically generates operational reports for its clients. The system recognizes the cohort each client belongs to and, from each client's data, uses AI to build a report that diagnoses their operation and compares it with similar companies.
Beyond the analysis, a set of AI agents recommends concrete actions to address the problems they detect, so the report doesn't just describe the situation, it points to the next steps. Each report combines period-over-period comparison with a comparison against the client's cohort.
In practice, the system covers the full report cycle:
- Recognizes the cohort each client belongs to.
- Uses AI to generate the operational report from each client's data.
- Compares the operation period-over-period and against similar companies in its cohort.
- Diagnoses the problems in each client's operation.
- Recommends concrete actions to address the problems it detects.
