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Build a Custom Logistics Analytics Dashboard Using AI in Minutes

Describe your Logistics Analytics Dashboard in plain English. Emergent handles design, development, and deployment, giving you a live build in minutes. No code needed.

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Emergent Key Features for Building a Logistics Analytics Dashboard

Every lane benchmarked against your own history, with the alternatives priced before you commit.

Cost Decomposed across the Network


Total logistics cost is split by stage and lane, showing whether spend is driven by distance, handling or service level choices.

Rates Benchmarked Internally


Lanes are compared against your own history and across carriers, which produces negotiating evidence without needing external rate data.

Consolidation Quantified


Shipments that could have travelled together are identified with the saving attached, usually the fastest available freight reduction.

Scenario Modelling


The cost and transit effect of a network or service change is calculated before it is committed, rather than discovered afterwards.

Cost to Serve by Customer


Logistics cost is attributed to customers and lanes, informing pricing and minimum order conversations with real figures.

Expedite Cost Isolated


Premium freight is separated with its causes, quantifying what planning gaps cost across a year.

Logistics Analytics Dashboard Use Cases You Can Build in Minutes

Network Cost Analysis
Network Cost Analysis

Break the Network Cost into Its Parts

Total network cost split across inbound freight, warehousing, outbound freight and last mile, cost by lane and facility, cost per order and per kilogram by region, the share driven by distance against handling and the most expensive lanes.

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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."};

Rate Benchmarking
Rate Benchmarking

Build Negotiating Evidence from Your Own Lanes

Rates paid per lane, weight band and service compared against your historical range and across carriers serving the same lane, lanes where one carrier is materially more expensive, surcharge exposure and the annual saving available.

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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."};

Consolidation Opportunity
Consolidation Opportunity

Find the Shipments That Should Have Travelled Together

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, expedited shipments that could have been planned and total saving.

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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."};

Service Level Scenario
Service Level Scenario

Cost the Network Change before Committing

The cost and delivery time effect of adding a distribution point, shifting a lane from air to road, extending the order cut off or moving from next day to two day service, with cost change, transit change and customers affected.

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Cost the Network Change before Committing

The cost and delivery time effect of adding a distribution point, shifting a lane from air to road, extending the order cut off or moving from next day to two day service, with cost change, transit change and customers affected.

Build a custom logistics analytics dashboard in 4 simple steps

Work out what your network should cost and what a lane should be paying, so freight and footprint decisions are argued with numbers rather than history.

Pick the assumptions costing you money

Choose what nobody has checked in years, whether that is the footprint, the rates on your busiest lanes, the shipments that could travel together or the service promise you inherited. Emergent tests each one against your own shipment record.

Connect shipment history, rates and demand data

Link your shipment records, carrier rate agreements, order origins and destinations and any warehouse cost data. Emergent joins them at shipment level, which is the grain that network and rate analysis requires.

Ask for another network scenario

Request a different consolidation window, an added distribution point or a changed service promise, and the cost and transit effects are modelled against your shipment history.

Put the analysis in front of the decision

Deploy one build where the network team tests scenarios and commercial sees cost to serve by customer and lane. A rate negotiation or network change starts from modelled numbers.

Why choose Emergent?

Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.

ComparisonOther Tools
Built forDemos and MVPsProducts you keep growing
What you getFront end shell onlyFull stack, wired end to end
Backend and databaseSet it up yourselfBuilt and connected for you
CustomizationSurface level stylingDeep workflow control
Integrations and APIsManual glue workConnected from a prompt
Code ownershipLocked to the platformClean code you can export
Time to launchWeeks of patching and setupLive the same day

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