Providing correct data that our clients can rely on to make supply chain decisions is at the core of what we do.
In order to ensure data quality, we have taken the following steps:
- Built validations across all both input data and output data. If there are discrepancies in the data, our system is able to flag the same at scale
- Multiplicity of data: For key data pieces, we get the same information from multiple sources, so that in case of contradictions you can use your judgement and pick the best one
- Built in intelligence: Multiple carriers publish the schedule for every vessel; our system is able to automatically identify the most reliable schedule and uses the same
- Human in the loop: Even after all the above intelligence and automation, some edge cases slip through. Our analysis monitor all outgoing data via various internal dashboards, and step in to make corrections around edge cases
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