Your supply chain data is scattered across too many places to
trust any of it

Which port consistently racks up detention charges? Which supplier's late shipments cause downstream problems? Your data is too fragmented to answer these questions, so you can't negotiate better rates, hold partners accountable, or make informed decisions about which relationships to invest in or exit.

You find out about delays when customers call asking where their cargo is. You discover demurrage charges when the invoice arrives weeks later. You realize a carrier consistently underperforms only after multiple customer complaints. Your siloed data means you can't see problems building—you can only react after they've already cost you time, money, and customer satisfaction.

You query by supplier, port, haulier, carrier over time to see patterns. You may discover that 60% of charges come from one port with poor haulier coordination, or that shipments arriving Thursday-Friday consistently incur weekend demurrage fees. These patterns were invisible when charges appeared on invoices months later—now you fix root causes, not just pay bills.

Yes. You have your own record of when containers were available for pickup versus when they were collected. If you're invoice for 10 days of Demurrage but you can prove that only 8 days went by between Discharged at PoD and Gated Out Full. Many customers find they've been overcharged because data doesn’t match.