Flexport modernizes global freight search with Algolia, achieving 9 ms average search time at 4M searches per month
Flexport needed to make shipment tracking data accessible and actionable for end users in an industry that had not changed its processes in over 100 years, while supporting products with hundreds of unique attributes that all needed to be searchable at global scale.
Algolia became mission-critical infrastructure for Flexport, reducing shipment lookup time from several minutes to milliseconds and enabling standardized data collection for both internal support teams and clients.
Frequently asked questions
What did this team achieve with this AI workflow?
Algolia became mission-critical infrastructure for Flexport, reducing shipment lookup time from several minutes to milliseconds and enabling standardized data collection for both internal support teams and clients.
What tools did this team use?
Algolia, Query Categorization.
What results were reported?
Index size: 3M; Searches per month: 4M; Average search time: 9 ms; Shipment lookup time: several minutes to locate into milliseconds (source-reported, not independently verified).
How is this logistics ops AI workflow structured?
Shipment lookup triggered → Multi-index search query → Results delivered in milliseconds.