Build a Custom Logistics Dashboard Using AI in Minutes
Turn a plain-English description of your Logistics Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Logistics Dashboard
Every stage of the order journey timed, with the cost of serving each order and each customer attached.
Stage Level Cycle Times
Every step from order to delivery is timed separately, so a service failure is attributed to picking, dispatch or transit specifically.
Cost to Serve per Order
Labour, packaging, freight and returns cost are combined per order, revealing the orders and customers that consume more than they contribute.
On Time in Full Measurement
Performance is judged on both completeness and timing, which is stricter and closer to what a customer actually experiences.
Failure Reason Attribution
Delivery failures and returns are grouped by cause, distinguishing carrier problems from picking errors and product issues.
Customer Level Service View
Performance is reported per account, so a commercially important customer receiving poor service is identified before they raise it.
Percentile as Well as Average
Times are reported at the 95th percentile, exposing the tail of very late orders that an average delivery time always hides.
Logistics Dashboard Use Cases You Can Build in Minutes
Attribute Delay to the Stage That Caused It
Each stage from order receipt to delivery including picking, packing, dispatch and transit with average and ninety fifth percentile time against target, orders currently at each stage and the stage responsible for most delay.
window.awbMockup = { orderToDelivery: "Build a logistics dashboard measuring each stage from order receipt to delivery including picking, packing, dispatch and transit, showing average and 95th percentile time per stage against target, orders currently at each stage, and the stage responsible for most delay this week.", deliveryPerformance: "Build a delivery performance dashboard showing on time and in full rate by carrier, service level and region, failed delivery attempts with reasons, deliveries late by more than 24 hours, performance by day of week and volume level, and customers experiencing the worst service.", costToServe: "Build a cost to serve dashboard calculating fulfilment cost per order including picking labour, packaging, freight and returns handling, cost per order by size and destination, cost to serve by customer against revenue from that customer, and orders where fulfilment cost exceeds gross margin.", returnsAnalysis: "Build a returns dashboard showing return rate by product and customer, reasons grouped by category including damage, wrong item, late delivery and change of mind, cost of processing returns, products with return rates above the catalogue average, and the share of returns attributable to fulfilment error."};
Measure Service the Way Customers Experience It
On time and in full rate by carrier, service level and region, failed delivery attempts with reasons, deliveries late by more than twenty four hours, performance by day of week and the customers receiving worst service.
window.awbMockup = { orderToDelivery: "Build a logistics dashboard measuring each stage from order receipt to delivery including picking, packing, dispatch and transit, showing average and 95th percentile time per stage against target, orders currently at each stage, and the stage responsible for most delay this week.", deliveryPerformance: "Build a delivery performance dashboard showing on time and in full rate by carrier, service level and region, failed delivery attempts with reasons, deliveries late by more than 24 hours, performance by day of week and volume level, and customers experiencing the worst service.", costToServe: "Build a cost to serve dashboard calculating fulfilment cost per order including picking labour, packaging, freight and returns handling, cost per order by size and destination, cost to serve by customer against revenue from that customer, and orders where fulfilment cost exceeds gross margin.", returnsAnalysis: "Build a returns dashboard showing return rate by product and customer, reasons grouped by category including damage, wrong item, late delivery and change of mind, cost of processing returns, products with return rates above the catalogue average, and the share of returns attributable to fulfilment error."};
Find the Orders That Cost More Than They Earn
Fulfilment cost per order including picking labour, packaging, freight and returns handling, cost by order size and destination, cost to serve by customer against their revenue and orders where cost exceeds gross margin.
window.awbMockup = { orderToDelivery: "Build a logistics dashboard measuring each stage from order receipt to delivery including picking, packing, dispatch and transit, showing average and 95th percentile time per stage against target, orders currently at each stage, and the stage responsible for most delay this week.", deliveryPerformance: "Build a delivery performance dashboard showing on time and in full rate by carrier, service level and region, failed delivery attempts with reasons, deliveries late by more than 24 hours, performance by day of week and volume level, and customers experiencing the worst service.", costToServe: "Build a cost to serve dashboard calculating fulfilment cost per order including picking labour, packaging, freight and returns handling, cost per order by size and destination, cost to serve by customer against revenue from that customer, and orders where fulfilment cost exceeds gross margin.", returnsAnalysis: "Build a returns dashboard showing return rate by product and customer, reasons grouped by category including damage, wrong item, late delivery and change of mind, cost of processing returns, products with return rates above the catalogue average, and the share of returns attributable to fulfilment error."};
Separate Your Errors from Product Problems
Return rate by product and customer, reasons grouped across damage, wrong item, late delivery and change of mind, cost of processing returns, products above the catalogue average and the share attributable to fulfilment error.
Separate Your Errors from Product Problems
Return rate by product and customer, reasons grouped across damage, wrong item, late delivery and change of mind, cost of processing returns, products above the catalogue average and the share attributable to fulfilment error.
Build a custom logistics dashboard in 4 simple steps
Measure order to delivery performance and cost to serve per customer, so distribution is judged on what it costs and what it delivers.
Start with order to delivery time, on time and in full performance, cost to serve per order and per customer, delivery failure reasons and returns volume. Emergent builds around your fulfilment network and service promises.
Link your order system, warehouse records, carrier tracking and returns data. Emergent measures each stage from order receipt through pick, dispatch and delivery, so a delay is attributed to the stage that caused it.
Ask to add a fulfilment stage, include a new cost element, change a service promise or report by another region, and every measure updates around your actual operation.
Publish one link where operations manages daily performance and commercial sees cost to serve by customer. Pricing and service conversations happen with the real cost of serving each account.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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