Build a Custom Logistics Analytics Dashboard Using AI in Minutes

window.awbMockup = { networkCostAnalysis: "Build a logistics analytics dashboard showing total network cost split across inbound freight, warehousing, outbound freight and last mile, cost by lane and by facility, cost per order and per kilogram by region, the share of cost driven by distance against handling, and lanes whose cost per unit is furthest above the network average.", rateBenchmarking: "Build a carrier rate analysis dashboard comparing rates paid per lane, weight band and service against your own historical range and across carriers serving the same lane, lanes where one carrier is materially more expensive, surcharge exposure by carrier, and the annual saving from moving each lane to the best available rate.", consolidationOpportunity: "Build a logistics consolidation dashboard identifying orders shipped separately that shared an origin, destination region and date window, the freight saved by combining them, customers receiving several small shipments per week, the cost of expedited shipments that could have been planned, and total annual saving available.", serviceLevelScenario: "Build a logistics scenario dashboard modelling the cost and delivery time effect of changes such as adding a distribution point, shifting a lane from air to road, extending the order cut off time, or moving from next day to two day service, showing cost change, transit time change and the customers affected by each."};